# BusinessesForSale Scraper with Financials & Description (`fatihtahta/businessesforsale-scraper`) Actor Collect structured business-for-sale and franchise listing records from BusinessesForSale.com using direct URLs, search terms, locations, categories, price bounds, and enrichment settings. Results are saved as business-acquisition records for review, export, BI, ETL, and agent workflows. - **URL**: https://apify.com/fatihtahta/businessesforsale-scraper.md - **Developed by:** [Fatih Tahta](https://apify.com/fatihtahta) (community) - **Categories:** Lead generation, Automation, Agents - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / 1,000 business listings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## BusinessesForSale.com Scraper **Slug:** `fatihtahta/businessesforsale-scraper` ### Overview BusinessesForSale.com Scraper collects structured business-for-sale and franchise listing records, including listing identity, public source context, location, asking price, revenue and cash-flow text, business category, listing labels, deal attributes, contact links, franchise flags, media, and source-provided financial fields. [BusinessesForSale.com](https://www.businessesforsale.com/) is a public marketplace for business acquisition, franchise, and investment opportunities, making its listings useful for sourcing, market research, valuation review, and monitoring workflows. The actor helps teams turn direct marketplace URLs or scoped discovery searches into repeatable datasets that can be reviewed, exported, compared, and loaded into downstream systems. It is designed for automation and operational consistency, so the same input configuration can be reused for validation runs, scheduled refreshes, enrichment backfills, and reporting pipelines. Results are delivered as structured Apify dataset records suitable for human review, spreadsheet exports, analytics tools, AI agents, and ETL processing. Use it when you need dependable recurring acquisition of public listing information without relying on manual marketplace review. ### Who Should Use This Actor - **Market research and analytics teams:** build structured extraction workflows for acquisition supply, category mix, pricing bands, and geographic coverage. - **Business development and M&A operators:** create repeatable sourcing lists for target industries, regions, deal sizes, and listing attributes. - **Product, marketplace, catalog, or content teams:** normalize public business opportunity records for internal directories, review queues, or content operations. - **Developers and data engineering teams:** feed predictable JSON records into warehouses, enrichment pipelines, search indexes, and downstream systems. - **AI agents and workflow automations:** collect scoped business listings as a controlled data acquisition step before summarization, routing, or human review. - **Sales, lead generation, and enrichment teams:** identify public business, franchise, broker, and contact signals that can support prospecting or CRM enrichment. - **Monitoring, compliance, and operations teams:** run recurring collection for known URL scopes and compare changes across saved datasets. ### Common Use Cases - **Market intelligence:** monitor public business listings by geography, category, price, cash flow, revenue visibility, and listing attributes. - **Lead generation:** build targeted prospect lists from public acquisition, franchise, broker, seller, and contact signals when available. - **Competitive monitoring:** track how business opportunity supply changes across locations, sectors, listing labels, and deal styles. - **Catalog and directory building:** populate internal databases with structured public business listing records and normalized field groups. - **Data enrichment:** add current public marketplace attributes to CRM, BI, diligence, sourcing, or analyst-review datasets. - **Recurring reporting:** schedule periodic runs for dashboards, trend analysis, change detection, and operating reports. - **Agentic research workflows:** let an internal agent collect a scoped dataset, summarize records, detect changes, and route items to the next workflow step. ### Real-World Questions This Data Can Answer - Which public business listings match a specific geography, category, keyword, premises type, management model, or deal attribute? - Which opportunities fall inside a target asking-price, cash-flow, or revenue range? - Which records have disclosed financial signals that are strong enough for analyst review, outreach, or modeling? - Which listings are new, price-reduced, franchise-related, relocatable, work-from-home, or otherwise tagged for a specific buyer strategy? - Which records appear, disappear, or change when compared with a previous run or internal sourcing list? - Which locations or sectors have enough public listing volume to justify deeper market research? - Which fields are reliable enough to drive dashboards, alerts, enrichment jobs, or manual review queues? ### Quick Start 1. Choose either direct BusinessesForSale URLs in `startUrls` or build a discovery search with `keyword`, `location`, `category`, and supported filters. 2. Set a small `limit`, such as 25 or 50, for the first validation run. 3. Run the actor in Apify Console. 4. Inspect the first dataset records to confirm the field groups, identifiers, and optional financial fields match your use case. 5. Increase the limit, add filters, export the dataset, or schedule the actor once the output is verified. ### Input Parameters Configure direct URLs or discovery criteria, then refine market scope, financial filters, enrichment depth, and output volume. | Parameter | Type | Description | Default | | --- | --- | --- | --- | | `startUrls` | array of strings | Direct BusinessesForSale search, category, location, franchise, or individual listing URLs. Use this when the source scope is already known or must be monitored repeatedly. | Form prefill: `https://www.businessesforsale.com/search/businesses-for-sale` | | `keyword` | string | Business type, industry, franchise brand, buyer theme, or acquisition thesis, such as `coffee shop`, `dry cleaner`, `SaaS`, or `franchise resale`. | - | | `location` | string | Country, region, state, county, or city supported by BusinessesForSale. Use it to focus discovery on a target market. | - | | `category` | array of strings | BusinessesForSale sector IDs selected from the Apify input dropdown. The dropdown contains labeled category options, such as services, retail, agriculture, food, professional services, franchises, and `All Sectors`. | - | | `premises_type` | array of strings | Premises filters. Allowed values: `real_property`, `lease`, `relocatable`. Use them when property or relocation context matters. | - | | `business_type` | array of strings | Listing attribute filters. Allowed values: `work_from_home`, `accommodation_included`, `franchise`, `business_opportunity`, `price_reduced`, `mid_market`, `distressed`, `low_cost`, `owner_financed`, `hidden_gem`, `quick_sale`. | - | | `management_type` | array of strings | Management model filters. Allowed values: `owner_managed`, `employee_owned`, `absentee_ownership`. | - | | `publication_date` | string | Listing freshness filter. Allowed values: `last_3_days`, `last_14_days`, `last_month`, `last_3_months`. Leave empty to avoid date-window filtering. | - | | `min_price` | integer | Minimum displayed asking price as a whole-number monetary amount. Leave empty to include lower-priced opportunities. | - | | `max_price` | integer | Maximum displayed asking price as a whole-number monetary amount. Leave empty to include higher-priced opportunities. | - | | `only_disclosed_price` | boolean | Require listings with disclosed asking price information. Price range filters also imply a disclosed-price requirement. | `false` | | `min_cashflow` | integer | Minimum displayed cash flow as a whole-number monetary amount. Leave empty to include lower-cash-flow opportunities. | - | | `max_cashflow` | integer | Maximum displayed cash flow as a whole-number monetary amount. Leave empty to include higher-cash-flow opportunities. | - | | `only_disclosed_cashflow` | boolean | Require listings with disclosed cash-flow information. Cash-flow range filters also imply a disclosed-cash-flow requirement. | `false` | | `min_revenue` | integer | Minimum displayed revenue as a whole-number monetary amount. Leave empty to include lower-revenue opportunities. | - | | `max_revenue` | integer | Maximum displayed revenue as a whole-number monetary amount. Leave empty to include higher-revenue opportunities. | - | | `enrich_data` | boolean | Collect richer listing details when available, such as fuller descriptions, broker or seller references, operations, property information, support notes, financing notes, and other detail fields. Disable it for lighter validation runs. | `true` | | `limit` | integer | Maximum number of business listing records to save for each source URL or discovery search. Use small limits for validation and larger limits for scheduled exports or ETL handoff. | Form prefill: `100` | ### Choosing Inputs Use `startUrls` when you already have a saved marketplace search, category page, location page, franchise page, or specific listing URL that should be collected consistently. Use `keyword` with optional `location`, `category`, and filters when you want the actor to discover matching public listings from a business theme or acquisition thesis. Narrow filters produce more targeted datasets for analyst review, CRM enrichment, and monitoring; broader filters improve discovery when the market is still being mapped. Location, category, listing freshness, premises type, business type, management model, price, cash flow, and revenue fields all reduce or segment the collection scope. For cleaner downstream comparison, run separate inputs for each geography, category, financial band, or operating workflow instead of combining unrelated segments in one run. Start with a small `limit`, confirm the output shape, then increase volume for recurring exports. ### Input Recipes - **Validation run:** use one direct search URL or one keyword, keep filters light, and set a low `limit` so the first dataset is easy to inspect. - **Targeted acquisition list:** combine `keyword`, `location`, `category`, `min_price`, `max_price`, and disclosed financial filters to focus on a specific buyer mandate. - **Fresh listing monitor:** use `publication_date` with a recurring schedule to review newly visible opportunities in a chosen geography or sector. - **Financial screening workflow:** use `min_cashflow`, `max_cashflow`, `min_revenue`, `max_revenue`, `only_disclosed_price`, and `only_disclosed_cashflow` to prioritize records that can support modeling. - **Known URL refresh:** place saved search, category, franchise, or listing URLs in `startUrls` and rerun the same configuration for repeatable monitoring. - **Segmented analysis:** create separate runs for each region, category, price band, or listing attribute so dashboards and change detection stay easier to interpret. ### Example Inputs #### Example: Direct URL validation run ```json { "startUrls": [ "https://www.businessesforsale.com/search/businesses-for-sale" ], "enrich_data": false, "limit": 25 } ```` #### Example: Keyword and location discovery ```json { "keyword": "coffee shop", "location": "Florida", "category": [ "1299301" ], "only_disclosed_price": true, "enrich_data": true, "limit": 50 } ``` #### Example: Recent financial screening run ```json { "keyword": "franchise resale", "location": "United States", "business_type": [ "franchise", "price_reduced" ], "publication_date": "last_14_days", "min_cashflow": 50000, "only_disclosed_cashflow": true, "limit": 75 } ``` ### Output #### Output destination The actor writes results to an Apify dataset as JSON records. The dataset is designed for direct consumption by analytics tools, ETL pipelines, AI agents, and downstream APIs with minimal post-processing. The provided output contract contains one record shape: a `business_listing` record for public business-for-sale or franchise listing information. #### Record envelope and stable identifiers Each record uses a grouped envelope with `record_type`, `record_id`, `source_context`, and business-specific objects such as `entity`, `location`, `pricing`, `financials`, `business`, `listing`, `deal`, `contact_details`, `franchise`, `media`, and `attributes`. The recommended idempotency key is `record_id`; when a downstream system needs a fallback, use a composite of `source_context.source_url` and `listing.listing_id` when both are present. Use the recommended key for deduplication and upserts so repeated runs can merge, compare, and sync records consistently. Stable identifiers make records easier to load into warehouses, CRMs, search indexes, vector stores, monitoring systems, and review queues across recurring runs. #### Examples ##### Example: business listing record ```json { "record_type": "business_listing", "record_id": "businessesforsale_business_scraper:3965252", "source_context": { "source_id": "businessesforsale_business_scraper", "source_url": "https://australia.businessesforsale.com/australian/australian-credit-licence.aspx", "position": 1, "source_position": 1 }, "entity": { "title": "Australian Credit Licence", "description": "Great opportunity to obtain an established Australian Credit Licence, established in 2014, based in QLD. Along with the licence, the company name and corporate listing are available. The licence is..." }, "location": { "display": "Queensland, Australia", "region": "Queensland", "country": "Australia" }, "pricing": { "asking_price_text": "$85,000 (AUD)", "asking_price": 85000.0, "currency": "USD" }, "financials": { "revenue_text": "Undisclosed", "cash_flow_text": "Undisclosed", "currency": "USD" }, "business": { "category": "Work From Home", "tags": [ "Relocatable", "Work From Home", "Quick Sale" ] }, "listing": { "listing_id": "3965252", "labels": [ "New", "Business" ], "is_franchise": false, "is_price_reduced": false }, "deal": { "tenure": "Relocatable" }, "contact_details": { "contact_url": "https://australia.businessesforsale.com/australian/australian-credit-licence/contact" }, "franchise": { "is_franchise": false }, "media": { "primary_image_url": "https://www.businessesforsale.com/content/shared/images/categoryimages/services.png", "images": [ { "url": "https://www.businessesforsale.com/content/shared/images/categoryimages/services.png", "alt": "australian credit licence" } ] }, "attributes": { "financials_raw": { "Asking Price": "$85,000 (AUD)", "Revenue": "Undisclosed", "Cash Flow": "Undisclosed" } } } ``` ### Field Reference #### Record envelope - **record\_type** *(string, required)*: Record family. The provided example uses `business_listing`. - **record\_id** *(string, optional)*: Stable record identifier when available. Recommended for upserts and deduplication. #### Source context - **source\_context.source\_id** *(string, optional)*: Source label for the record. - **source\_context.source\_url** *(string, optional)*: Public listing URL used for traceability. - **source\_context.position** *(number, optional)*: Position of the record within the returned result set. - **source\_context.source\_position** *(number, optional)*: Source-provided result position when available. #### Entity - **entity.title** *(string, optional)*: Listing title. - **entity.description** *(string, optional)*: Public listing description or summary text. #### Location - **location.display** *(string, optional)*: Human-readable location label. - **location.region** *(string, optional)*: Region, state, province, or comparable area. - **location.country** *(string, optional)*: Country associated with the listing. #### Pricing - **pricing.asking\_price\_text** *(string, optional)*: Displayed asking price text. - **pricing.asking\_price** *(number, optional)*: Numeric asking price when available. - **pricing.currency** *(string, optional)*: Currency code associated with pricing fields when provided. #### Financials - **financials.revenue\_text** *(string, optional)*: Displayed revenue value or visibility text. - **financials.cash\_flow\_text** *(string, optional)*: Displayed cash-flow value or visibility text. - **financials.currency** *(string, optional)*: Currency code associated with financial fields when provided. #### Business - **business.category** *(string, optional)*: Public business category or sector label. - **business.tags** *(array of strings, optional)*: Listing tags, attributes, or marketplace labels such as relocatable or work-from-home signals. #### Listing - **listing.listing\_id** *(string, optional)*: Listing identifier from the public listing record. - **listing.labels** *(array of strings, optional)*: Public labels attached to the listing. - **listing.is\_franchise** *(boolean, optional)*: Whether the listing is marked as franchise-related. - **listing.is\_price\_reduced** *(boolean, optional)*: Whether the listing is marked as price-reduced. #### Deal - **deal.tenure** *(string, optional)*: Deal or premises context, such as relocatable. #### Contact details - **contact\_details.contact\_url** *(string, optional)*: Public contact URL associated with the listing when available. #### Franchise - **franchise.is\_franchise** *(boolean, optional)*: Franchise flag in the franchise-specific field group. #### Media - **media.primary\_image\_url** *(string, optional)*: Primary image URL when available. - **media.images** *(array of objects, optional)*: Image objects associated with the listing. - **media.images\[].url** *(string, optional)*: Image URL. - **media.images\[].alt** *(string, optional)*: Image alt text or description. #### Attributes - **attributes.financials\_raw** *(object, optional)*: Source-provided financial display values preserved for audit and review. - **attributes.financials\_raw.Asking Price** *(string, optional)*: Raw asking-price display text. - **attributes.financials\_raw.Revenue** *(string, optional)*: Raw revenue display text. - **attributes.financials\_raw.Cash Flow** *(string, optional)*: Raw cash-flow display text. ### Data Model Notes - **Identity fields:** use `record_id` as the primary key for matching, deduplication, and upserts when it is present. - **Source/provenance fields:** use `source_context.source_url`, `source_context.position`, and `source_context.source_position` to trace records back to their public marketplace context. - **Business attributes:** `entity`, `location`, `pricing`, `financials`, `business`, `listing`, `deal`, and `franchise` carry the main review and analysis fields. - **Nested objects:** related fields are grouped together so JSON-first systems can preserve structure and CSV exports can be flattened deliberately. - **Optional fields:** null-check fields whose availability depends on listing type, region, public visibility, or selected input scope. - **Repeated runs:** compare records across runs with `record_id` plus Apify run metadata, input configuration, and export timestamp stored in your downstream system. ### Data Quality, Guarantees, And Handling - **Structured records:** results are normalized into predictable JSON objects for downstream use. - **Best-effort extraction:** fields may vary by region, availability, account visibility, UI experiments, or source-side changes. - **Optional fields:** downstream code, dashboards, and alerts should treat optional fields as nullable. - **Deduplication:** use `record_id` when available, with `source_context.source_url` and `listing.listing_id` as practical fallback signals. - **Freshness:** results reflect the publicly available data at run time. - **Repeated runs:** use the recommended idempotency key when syncing data into warehouses, CRMs, search indexes, vector stores, or monitoring systems. - **Schema awareness:** downstream systems should rely on documented fields and handle newly missing optional fields gracefully. ### Tips For Best Results - Start with a small `limit` to validate the output shape before scaling up. - Use one geography, category, keyword, or financial segment per run when you need clean comparison. - Leave optional filters empty when the goal is broad discovery. - Add filters gradually to understand how each field changes coverage. - Use direct URLs for repeatable monitoring of known marketplace scopes. - Schedule recurring runs for monitoring workflows instead of relying only on manual one-off jobs. - Use stable identifiers for deduplication when storing results over time. - Review a small sample after changing filters, enabling richer details, or increasing limits. ### How to Run on Apify 1. Open the actor in Apify Console. 2. Configure the available input fields for the target URL scope, keyword, location, category, financial range, or listing attributes. 3. Set the maximum number of outputs with `limit`. 4. Click **Start** and wait for the run to finish. 5. Open the dataset and inspect the first records. 6. Download results in JSON, CSV, Excel, or another supported format. ### Agentic And API-First Usage BusinessesForSale.com Scraper can be used as a structured data acquisition step inside larger automated workflows for acquisition sourcing, market monitoring, enrichment, reporting, and review routing. Developers, workflow builders, and AI-agent systems can generate scoped inputs, run the actor through Apify platform automation, and consume the resulting JSON records with predictable field groups. Agent workflow pattern: 1. Generate or select a scoped input from the supported schema. 2. Run the actor manually, on a schedule, or through Apify platform automation. 3. Wait for completion and read the dataset records. 4. Validate records against the field reference. 5. Upsert records into the downstream system using `record_id`. 6. Trigger analysis, enrichment, alerts, or human review. Practical notes for agentic use: - Keep prompts and automations grounded in the documented input parameters. - Start with small validation runs before allowing broad automated collection. - Feed the Field Reference and a small output sample to downstream AI steps. - Treat optional fields as nullable instead of asking agents to infer missing values. - Store run ID, input configuration, and dataset export metadata outside the record when building audit trails. ### Scheduling & Automation #### Scheduling ##### Automated Data Collection You can schedule runs to keep business-listing datasets current for monitoring, sourcing, enrichment, and reporting workflows. Use the same validated input configuration for recurring collection so changes can be compared cleanly over time. - Navigate to **Schedules** in Apify Console. - Create a new schedule, such as daily, weekly, or custom cron. - Configure input parameters. - Enable notifications for run completion. - Add webhooks for automated processing. #### Integration Options - **CRM enrichment:** sync public listing, location, price, financial, contact, and franchise signals into account or lead records. - **BI dashboards:** monitor listing volume, pricing bands, financial visibility, category movement, and geographic coverage over time. - **Google Sheets or Airtable:** review targeted sourcing lists, analyst notes, and lightweight operating reports. - **Webhooks:** trigger ingestion, validation, alerts, or human-review workflows after each completed run. - **Data warehouses:** store historical runs for market intelligence, change detection, and recurring reporting. - **Search or vector indexes:** make business listings discoverable for internal research tools, semantic search, and AI-agent context. - **Zapier or Make:** route new or changed records into no-code workflows for notifications, review tasks, or CRM updates. ### Export Formats And Downstream Use - **JSON:** for APIs, applications, AI agents, and data pipelines that preserve nested objects. - **CSV or Excel:** for spreadsheet workflows, stakeholder review, and lightweight analysis. - **API access:** for automated ingestion into internal systems. - **BI and warehouses:** for reporting, dashboards, historical analysis, and monitoring. - **Search or vector indexes:** for discovery, semantic search, retrieval workflows, and agent context. ### Downstream Pipeline Guide - **Idempotency:** use `record_id` for upserts; use `source_context.source_url` and `listing.listing_id` as fallback matching signals when needed. - **Null handling:** treat optional fields as nullable, especially financial, contact, franchise, media, and location attributes. - **Type handling:** preserve numbers, booleans, arrays, and nested objects when exporting to JSON-first systems. - **Flattening:** if exporting to CSV or Excel, flatten nested objects deliberately and keep the original JSON export for full fidelity. - **Partitioning:** store run date, input segment, geography, category, financial band, or workflow name outside or alongside records for easier analysis. - **Change detection:** compare repeated runs by `record_id` and selected fields such as `pricing.asking_price_text`, `financials.revenue_text`, `financials.cash_flow_text`, `listing.labels`, and `listing.is_price_reduced`. - **Quality checks:** monitor record count, duplicate rate, required identifier availability, and important optional field fill rates. - **Human review:** route records with missing critical fields, unusual financial values, changed labels, or changed price signals into a review queue. - **Retention:** decide how long to keep raw exports versus normalized warehouse tables based on your use case. ### Performance Estimated run times: - **Small runs (< 1,000 outputs):** ~3-5 minutes. - **Medium runs (1,000-5,000 outputs):** ~5-15 minutes. - **Large runs (5,000+ outputs):** ~15-30 minutes. Execution time varies based on filters, result volume, target availability, and how much information is returned per record. Highly filtered runs can finish faster, while broad discovery or detail-rich records may take longer. ### Limitations - Availability depends on what [BusinessesForSale.com](https://www.businessesforsale.com/) publicly exposes at run time. - Some optional fields may be missing on sparse records or listings with limited public details. - Very broad searches may take longer or require higher limits to collect enough records. - Target-side changes can affect field availability, labels, or naming. - Regional, account, visibility, or availability differences may change visible results. - The actor provides structured public data, not business advice, legal advice, valuation advice, or guaranteed market completeness. ### Troubleshooting - **No results returned:** check filters, location or category spelling, direct URLs, and whether the target has matching public records. - **Fewer results than expected:** broaden filters, raise `limit`, or verify that the target contains enough matching public listings. - **Some fields are empty:** optional fields depend on what each public record provides. - **Duplicate-looking records:** compare `record_id`, `source_context.source_url`, and `listing.listing_id` to decide whether records represent variants, locations, dates, or updates. - **Run takes longer than expected:** reduce scope, lower `limit` for validation, or split broad collection into smaller segments. - **Output changed:** compare the current output with the field reference and report a small sample if support is needed. - **Downstream import failed:** check JSON validity, nullable fields, nested objects, and whether your destination expects flattened columns. ### FAQ #### What data does this actor collect? It collects public business-for-sale and franchise listing records from BusinessesForSale.com, including listing identity, source context, location, pricing, financial display fields, business category, tags, listing labels, deal attributes, contact links, franchise flags, media, and raw financial display values when available. #### Can I filter by location, category, date, price, status, keyword, or other criteria? You can use direct URLs, `keyword`, `location`, `category`, `premises_type`, `business_type`, `management_type`, `publication_date`, asking-price filters, cash-flow filters, revenue filters, and disclosed-price or disclosed-cash-flow requirements. The schema does not expose a separate status filter. #### Why did I receive fewer results than my limit? The selected URL, keyword, location, category, filters, or date window may have fewer matching public records than the requested limit. Optional source availability can also affect how many records are returned for a particular scope. #### How should I choose a limit for my first run? Start with a small `limit`, such as 25 or 50, inspect the dataset shape, and then increase the limit once the fields and filters match your workflow. #### Can I schedule recurring runs? Yes. Use Apify schedules with a validated input configuration to refresh known URLs, discovery searches, sectors, or geographic segments over time. #### How do I avoid duplicates across runs? Use `record_id` as the primary upsert key when it is present. For additional checks, compare `source_context.source_url` and `listing.listing_id`. #### What is the best field to use as a unique key? `record_id` is the recommended idempotency key. It is designed to be more convenient for merging and deduplicating records than display text or position fields. #### Can I use the output with AI agents or automated workflows? Yes. The grouped JSON structure is suitable for agent review, summarization, enrichment routing, alerts, retrieval systems, and downstream APIs. Agents should treat optional fields as nullable. #### Can I export the data to CSV, Excel, or JSON? Yes. Apify datasets support common export formats including JSON, CSV, Excel, and API access. JSON preserves the full nested structure most accurately. #### Does this actor collect private data? The actor is intended for publicly available BusinessesForSale.com listing information. Users are responsible for using the results lawfully and respecting privacy, site terms, and applicable data protection rules. #### What should I include when reporting an issue? Include the input used, the run ID, expected versus actual behavior, a small output sample if helpful, and the downstream destination or export format if the issue is pipeline-related. ### Compliance & Ethics #### Responsible Data Collection This actor collects publicly available business-for-sale and franchise listing information from https://www.businessesforsale.com for legitimate business purposes, including: - Business acquisition research and market analysis. - Sourcing, enrichment, and operational reporting. - Monitoring public listing changes for internal review workflows. This section is informational and not legal advice. Users are responsible for confirming that their collection, storage, and use of the data complies with applicable laws, regulations, contracts, and policies. #### Best Practices - Use collected data in accordance with applicable laws, regulations, and the target site's terms. - Respect individual privacy and personal information. - Use data responsibly and avoid disruptive or excessive collection. - Do not use this actor for spamming, harassment, discrimination, or other harmful purposes. - Follow relevant data protection requirements where applicable, such as GDPR, CCPA, or sector-specific rules. - Review your own retention, access control, and data-sharing policies before operationalizing the dataset. ### Support For help, use the actor page or the Issues section. Include the input used with sensitive values redacted, the run ID, expected versus actual behavior, a small output sample when useful, and the downstream destination or export format if the issue is related to a pipeline or export. # Actor input Schema ## `startUrls` (type: `array`): Enter one BusinessesForSale URL per line. Use direct search, category, location, franchise, or individual listing URLs when you want the run to follow a known marketplace scope instead of discovering listings from a new keyword search. ## `keyword` (type: `string`): Enter a business type, industry, franchise brand, buyer theme, or acquisition thesis, such as "coffee shop", "dry cleaner", "SaaS", or "franchise resale". Leave empty when direct URLs, categories, or other scope controls are enough for the run. ## `location` (type: `string`): Enter a country, region, state, county, or city supported by BusinessesForSale, such as "United States", "Florida", "Harris County", or "London". Leave empty to avoid adding a geographic restriction to discovery searches. ## `category` (type: `array`): Choose one or more BusinessesForSale sectors when the run should focus on specific industries, franchises, services, retail categories, online businesses, or other marketplace verticals. Leave empty to keep category scope broad. ## `premises_type` (type: `array`): Limit discovery to listings that match selected premises contexts, such as real property, lease, or relocatable businesses. Leave empty when premises type should not narrow the dataset. ## `business_type` (type: `array`): Select marketplace attributes such as franchise, work from home, price reduced, owner financed, hidden gem, quick sale, low cost, or distressed. Use these filters to narrow sourcing lists by deal style or buyer strategy. ## `management_type` (type: `array`): Choose management models such as owner managed, employee owned, or absentee ownership when operational involvement is part of the sourcing criteria. Leave empty to include all management models. ## `publication_date` (type: `string`): Restrict discovery to recently published listings when you want a fresh pipeline, alert-style monitoring, or newly listed opportunities. Leave empty to include listings regardless of publication date. ## `min_price` (type: `integer`): Set the lowest asking price to include. Leave empty when smaller opportunities should remain in scope. ## `max_price` (type: `integer`): Set the highest asking price to include. Leave empty when larger opportunities should remain in scope. ## `only_disclosed_price` (type: `boolean`): Enable this when pricing transparency is required for screening, valuation models, or ETL handoff. Price range filters also require disclosed prices automatically. ## `min_cashflow` (type: `integer`): Set the lowest displayed cash flow to include. Leave empty when lower-cash-flow listings should remain eligible. ## `max_cashflow` (type: `integer`): Set the highest displayed cash flow to include. Leave empty when higher-cash-flow listings should remain eligible. ## `only_disclosed_cashflow` (type: `boolean`): Enable this when cash-flow visibility is required for screening, valuation, or downstream modeling. Cash-flow range filters also require disclosed cash flow automatically. ## `min_revenue` (type: `integer`): Set the lowest displayed revenue to include. Leave empty when lower-revenue listings should remain eligible. ## `max_revenue` (type: `integer`): Set the highest displayed revenue to include. Leave empty when higher-revenue listings should remain eligible. ## `enrich_data` (type: `boolean`): Keep enabled when you want fuller descriptions, broker details, seller references, business operations, property information, support notes, financing notes, and other detail-page fields when available. Turn it off for faster exploratory runs when lightweight search-result records are enough. ## `limit` (type: `integer`): Choose the maximum number of business listing records to save for each source URL or discovery search. Use a smaller value for validation runs and a larger value for recurring exports, enrichment backfills, or ETL handoff. ## Actor input object example ```json { "startUrls": [ "https://www.businessesforsale.com/search/businesses-for-sale" ], "only_disclosed_price": false, "only_disclosed_cashflow": false, "enrich_data": true, "limit": 100 } ``` # Actor output Schema ## `results` (type: `string`): Structured BusinessesForSale business and franchise listing records saved by this run. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ "https://www.businessesforsale.com/search/businesses-for-sale" ], "limit": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("fatihtahta/businessesforsale-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": ["https://www.businessesforsale.com/search/businesses-for-sale"], "limit": 100, } # Run the Actor and wait for it to finish run = client.actor("fatihtahta/businessesforsale-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "https://www.businessesforsale.com/search/businesses-for-sale" ], "limit": 100 }' | apify call fatihtahta/businessesforsale-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fatihtahta/businessesforsale-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BusinessesForSale Scraper with Financials & Description", "description": "Collect structured business-for-sale and franchise listing records from BusinessesForSale.com using direct URLs, search terms, locations, categories, price bounds, and enrichment settings. Results are saved as business-acquisition records for review, export, BI, ETL, and agent workflows.", "version": "0.1", "x-build-id": "J0N6uMroMbpon8Blu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fatihtahta~businessesforsale-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fatihtahta-businessesforsale-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fatihtahta~businessesforsale-scraper/runs": { "post": { "operationId": "runs-sync-fatihtahta-businessesforsale-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fatihtahta~businessesforsale-scraper/run-sync": { "post": { "operationId": "run-sync-fatihtahta-businessesforsale-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Add BusinessesForSale Source URLs", "type": "array", "description": "Enter one BusinessesForSale URL per line. Use direct search, category, location, franchise, or individual listing URLs when you want the run to follow a known marketplace scope instead of discovering listings from a new keyword search.", "items": { "type": "string" } }, "keyword": { "title": "Enter a Business Search Keyword", "type": "string", "description": "Enter a business type, industry, franchise brand, buyer theme, or acquisition thesis, such as \"coffee shop\", \"dry cleaner\", \"SaaS\", or \"franchise resale\". Leave empty when direct URLs, categories, or other scope controls are enough for the run." }, "location": { "title": "Set Target Location", "type": "string", "description": "Enter a country, region, state, county, or city supported by BusinessesForSale, such as \"United States\", \"Florida\", \"Harris County\", or \"London\". Leave empty to avoid adding a geographic restriction to discovery searches." }, "category": { "title": "Select Business Categories", "uniqueItems": true, "type": "array", "description": "Choose one or more BusinessesForSale sectors when the run should focus on specific industries, franchises, services, retail categories, online businesses, or other marketplace verticals. 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(1299502)", "Retail > General > Adult", "Tech & Media > Advertising & Marketing > Advertising (1374301)", "Services > Advertising & Marketing > Advertising (1374302)", "Tech & Media > Advertising & Marketing (1294501)", "Services > Advertising & Marketing (1294502)", "Agriculture > Agricultural Supplies", "Agriculture", "Services > Maintenance > Air Conditioning Services", "Services > Transportation > Air Transport", "All Sectors", "Services > Health Care > Alternative Health", "Online > Internet > Amazon FBA Stores", "Online > Internet > Amazon FBM Stores", "Online > Internet > Amazon KDP", "Online > Internet > Amazon Stores", "Food > Restaurants > American Restaurants (1383001)", "Real Estate > Restaurants > American Restaurants (1383002)", "Leisure > Entertainment & Fun > Amusement Parks & Arcades", "Online > Apps > Android Apps", "Retail > General > Antique & Art Shops", "Online > Apps", "Leisure > Recreation > Aquatic & Marine Related", "Services > Professional > Architects", "Leisure > Entertainment & Fun > Art Galleries & Museums", "Food > Restaurants > Asian Restaurants (1375001)", "Real Estate > Restaurants > Asian Restaurants (1375002)", "Retail > Vehicles > Auto Repair, Service & Parts (1356601)", "Services > Transportation > Auto Repair, Service & Parts (1356602)", "Food > Cafes > Bagel Shops (1375303)", "Food > Restaurants > Bagel Shops (1375305)", "Food > Retailers > Bagel Shops (1375302)", "Retail > Food & Drink > Bagel Shops (1375301)", "Real Estate > Cafes > Bagel Shops (1375304)", "Real Estate > Restaurants > Bagel Shops (1375306)", "Food > Retailers > Bakers & Confectioners (1301202)", "Retail > Food & Drink > Bakers & Confectioners (1301201)", "Retail > Health & Beauty > Barber Shops (1388001)", "Services > Health & Beauty > Barber Shops (1388002)", "Retail > General > Bargain Stores", "Leisure > Pubs, Bars & Nightclubs > Bars (1301701)", "Real Estate > Pubs, Bars & Nightclubs > Bars (1301702)", "Retail > Home & Garden > Bathroom Related (1301901)", "Services > House & Garden > Bathroom Related (1301902)", "Leisure > Pubs, Bars & Nightclubs > Beach Bars (1390601)", "Real Estate > Pubs, Bars & Nightclubs > Beach Bars (1390602)", "Retail > Health & Beauty > Beauty Salons (1388901)", "Services > Health & Beauty > Beauty Salons (1388902)", "Services > House & Garden > Bedroom Related", "Retail > General > Bicycle Shops", "Online > Internet > BigCommerce Stores", "Food > Restaurants > Bistros (1340001)", "Real Estate > Restaurants > Bistros (1340002)", "Services > Pets > Boarding Kennels", "Manufacturing > Transportation Related > Boat Builders and Repair (1392601)", "Services > Transportation > Boat Builders and Repair (1303301)", "Leisure > Recreation > Boat Hire (1382703)", "Services > Transportation > Boat Hire (1382701)", "Services > Hire > Boat Hire (1382702)", "Retail > Vehicles > Boats", "Services > Financial > Book Keeping Services", "Retail > General > Book Shops", "Leisure > Entertainment & Fun > Bookmakers and Gambling", "Leisure > Recreation > Bowling Clubs", "Manufacturing > Breweries (1387602)", "Food > Breweries (1387601)", "Services > Maintenance > Building Maintenance (1379001)", "Services > Construction > Building Maintenance (1379002)", "Services > Construction > Building Services", "Food > Mobile Catering > Burger Trucks", "Services > Professional > Business Brokers", "Food > Retailers > Butchers (1305502)", "Retail > Food & Drink > Butchers (1305501)", "Food > Cafes > Café Bars (1375203)", "Leisure > Pubs, Bars & Nightclubs > Café Bars (1375201)", "Real Estate > Cafes > Café Bars (1375204)", "Real Estate > Pubs, Bars & Nightclubs > Café Bars (1375202)", "Food > Cafes (1385901)", "Real Estate > Cafes (1385902)", "Food > Cafes > Cafes & Diners (1305701)", "Real Estate > Cafes > Cafes & Diners (1305702)", "Leisure > Hotels & Motels > Camping & Recreational Vehicle Parks (1307101)", "Real Estate > Hotels & Motels > Camping & Recreational Vehicle Parks (1307102)", "Retail > General > Cannabis Stores", "Services > Transportation > Car Hire Services (1306601)", "Services > Hire > Car Hire Services (1306602)", "Retail > Vehicles > Car Sales - New & Used", "Retail > Vehicles > Car Wash & Valet (1306901)", "Services > Transportation > Car Wash & Valet (1306902)", "Retail > General > Card & Gift Shops", "Services > Health Care > Care Homes", "Services > Construction > Carpenters & Joiners", "Retail > Home & Garden > Carpet & Flooring", "Services > Hire > Carpet Cleaning Equipment", "Leisure > Entertainment & Fun > Casinos", "Food > Catering Services", "Services > Pets > Catteries", "Services > Transportation > Chauffeur Hire Services", "Manufacturing > Other > Chemical", "Services > Education > Child Care & Nurseries", "Leisure > Entertainment & Fun > Children's Play (1383301)", "Services > Education > Children's Play (1383302)", "Retail > Clothing > Childrens Wear", "Food > Restaurants > Chinese Restaurants (1344701)", "Real Estate > Restaurants > Chinese Restaurants (1344702)", "Services > Health Care > Chiropractors", "Leisure > Entertainment & Fun > Cinemas", "Services > Construction > Civil Engineers", "Retail > Clothing", "Manufacturing > Clothing & Footwear Manufacturers", "Food > Cafes > Coffee Shops (1310101)", "Real Estate > Cafes > Coffee Shops (1310102)", "Services > Maintenance > Commercial Cleaning", "Retail > Vehicles > Commercial Vehicle Dealers", "Services > Transportation > Commercial Vehicle Hire Services (1305001)", "Services > Hire > Commercial Vehicle Hire Services (1305002)", "Tech & Media > Information Technology > Computer (1371902)", "Retail > General > Computer (1371901)", "Tech & Media > Information Technology > Computer Training (1310902)", "Services > Education > Computer Training (1310901)", "Services > General > Conference Facilities", "Services > Construction", "Retail > General > Construction Suppliers (1304601)", "Services > Construction > Construction Suppliers (1304602)", "Services > Professional > Consultancy", "Engineering > Consultants", "Online > Content Websites", "Food > Retailers > Convenience Stores (1311902)", "Retail > Food & Drink > Convenience Stores (1311901)", "Services > Professional > Corporate Training (1373501)", "Services > Education > Corporate Training (1373502)", "Retail > Health & Beauty > Cosmetic Stores (1367401)", "Services > Health & Beauty > Cosmetic Stores (1367402)", "Services > Postal & Communication > Couriers/Despatch Riders", "Retail > General > Crafts & Hobbies", "Services > Financial > Credit & Finance Companies", "Retail > Home & Garden > Curtains and Blinds", "Services > General > Dating Agencies", "Services > House & Garden > Decorators", "Food > Retailers > Delicatessens (1313702)", "Retail > Food & Drink > Delicatessens (1313701)", "Services > Health Care > Dental", "Tech & Media > Advertising & Marketing > Design (1383401)", "Services > Advertising & Marketing > Design (1383402)", "Wholesale & Distribution > Distribution", "Retail > Home & Garden > DIY Related", "Retail > General > Dollar Stores", "Online > Domain Names", "Services > House & Garden > Domestic Cleaning Services", "Retail > Clothing > Dress Hire (1363201)", "Services > Hire > Dress Hire (1363202)", "Services > Transportation > Driving Schools", "Online > Dropshipping", "Retail > Health & Beauty > Drug Stores/Pharmacies (1329401)", "Services > Health & Beauty > Drug Stores/Pharmacies (1329402)", "Services > General > Dry Cleaners", "Services > Maintenance > Dumpster Rental Service", "Retail > General > E-Commerce (1372401)", "Online > Internet > E-Commerce (1372402)", "Services > Education", "Services > Education > Educational and School Related", "Manufacturing > Other > Electrical Appliance Manufacturers", "Retail > Home & Garden > Electrical Appliance Retailers (1316201)", "Services > House & Garden > Electrical Appliance Retailers (1316202)", "Engineering > Electrical Services", "Services > Maintenance > Electricians/Electrical Repair (1355201)", "Services > Construction > Electricians/Electrical Repair (1355202)", "Energy", "Manufacturing > Energy Related (1385801)", "Energy > Energy Related (1385802)", "Engineering", "Services > General > Engraving", "Services > Hire > Entertainment", "Leisure > Entertainment & Fun", "Services > General > Entertainment Agencies", "Services > Maintenance > Environmental Related", "Services > Professional > Estate Agents/Letting Agents", "Food > Restaurants > European Restaurants (1374901)", "Real Estate > Restaurants > European Restaurants (1374902)", "Services > Professional > Events (1373801)", "Services > Hire > Events (1373802)", "Food > Catering Services > Events Catering", "Manufacturing > Machinery & Metal > Fabrication", "Services > Construction > Facilities Managers", "Agriculture > Farms (1317601)", "Real Estate > Farms (1317602)", "Retail > Clothing > Fashion Accessory", "Food > Cafes > Fast Food - Non Franchises (1343701)", "Food > Restaurants > Fast Food - Non Franchises (1343703)", "Real Estate > Cafes > Fast Food - Non Franchises (1343702)", "Real Estate > Restaurants > Fast Food - Non Franchises (1343704)", "Food > Cafes > Fast Food Franchises (1343601)", "Food > Restaurants > Fast Food Franchises (1343603)", "Real Estate > Cafes > Fast Food Franchises (1343602)", "Real Estate > Restaurants > Fast Food Franchises (1343604)", "Tech & Media > Media > Film", "Services > Financial", "Retail > Home & Garden > Fireplace / Stove Businesses (1386101)", "Services > House & Garden > Fireplace / Stove Businesses (1386102)", "Food > Restaurants > Fish & Chip Shops (1318401)", "Real Estate > Restaurants > Fish & Chip Shops (1318402)", "Leisure > Recreation > Fishing & Related", "Food > Retailers > Fishmongers (1370202)", "Retail > Food & Drink > Fishmongers (1370201)", "Services > Construction > Fitout", "Services > House & Garden > Flooring Services", "Retail > General > Florists", "Food", "Retail > Food & Drink", "Food > Food & Drink Distributors (1366001)", "Wholesale & Distribution > Distribution > Food & Drink Distributors (1366002)", "Manufacturing > Food & Drink Manufacturers (1297502)", "Food > Food & Drink Manufacturers (1297501)", "Food > Food & Drink Wholesalers (1365601)", "Wholesale & Distribution > Wholesale > Food & Drink Wholesalers (1365602)", "Food > Mobile Catering > Food Cart", "Food > Catering Services > Food Catering", "Franchise Resales > Food Franchise Resales", "Food > Cafes > Food Trucks (1388604)", "Food > Restaurants > Food Trucks (1388601)", "Food > Catering Services > Food Trucks (1388606)", "Food > Mobile Catering > Food Trucks (1388607)", "Real Estate > Cafes > Food Trucks (1388605)", "Real Estate > Restaurants > Food Trucks (1388602)", "Services > Education > Foreign Language Schools", "Services > General > Framing (1329801)", "Services > House & Garden > Framing (1329802)", "Franchise Resales", "Services > General > Funeral Services", "Retail > Home & Garden > Furniture", "Manufacturing > Furniture & Wood", "Manufacturing > Furniture & Wood > Furniture Manufacturers", "Retail > Home & Garden > Garden Centres", "Services > House & Garden > Gardening Services", "Retail > Vehicles > Gas/Petrol Service Stations (1341401)", "Real Estate > Gas/Petrol Service Stations (1341402)", "Retail > General (1295301)", "Services > General (1296201)", "Manufacturing > Other > Glass Products Manufacturers", "Retail > Home & Garden > Glaziers (1350501)", "Services > House & Garden > Glaziers (1350502)", "Services > Construction > Glaziers (1350503)", "Leisure > Recreation > Golf Courses", "Leisure > Recreation > Golf Related", "Food > Restaurants > Greek Restaurants (1374701)", "Real Estate > Restaurants > Greek Restaurants (1374702)", "Food > Retailers > Grocers/Fruit and Veg Markets (1320802)", "Retail > Food & Drink > Grocers/Fruit and Veg Markets (1320801)", "Leisure > Hotels & Motels > Guest Houses/Bed & Breakfast (1321101)", "Real Estate > Hotels & Motels > Guest Houses/Bed & Breakfast (1321102)", "Leisure > Recreation > Guns and Ammunition (1388401)", "Retail > General > Guns and Ammunition (1388402)", "Retail > Clothing > Haberdashery", "Retail > Health & Beauty > Hair Salons (1345701)", "Services > Health & Beauty > Hair Salons (1345702)", "Retail > Home & Garden > Hardware Stores", "Retail > Health & Beauty (1294901)", "Services > Health & Beauty (1294902)", "Retail > Health & Beauty > Health & Beauty Supplies (1349701)", "Services > Health & Beauty > Health & Beauty Supplies (1349702)", "Wholesale & Distribution > Wholesale > Health & Beauty Supplies (1365701)", "Leisure > Recreation > Health & Fitness Clubs (1321501)", "Retail > Health & Beauty > Health & Fitness Clubs (1321502)", "Services > Health & Beauty > Health & Fitness Clubs (1321503)", "Services > General > Health and Safety (1382901)", "Services > Professional > Health and Safety (1382902)", "Services > Health Care", "Leisure > Recreation > Health Farms", "Food > Retailers > Health Food Shops (1321803)", "Retail > Health & Beauty > Health Food Shops (1321801)", "Retail > Food & Drink > Health Food Shops (1321802)", "Services > Health & Beauty > Health Food Shops (1321804)", "Services > Maintenance > Heating Services", "Manufacturing > Machinery & Metal > Heavy Machinery", "Services > Hire", "Leisure > Hotels & Motels > Holiday Rental (1387801)", "Real Estate > Hotels & Motels > Holiday Rental (1387802)", "Retail > Home & Garden", "Retail > Home & Garden > Home Accessories", "Services > Professional > Home Inspection", "Leisure > Recreation > Horse Riding", "Services > Health Care > Hospitals", "Leisure > Entertainment & Fun > Hot Air Balloons", "Retail > Home & Garden > Hot Tubs (1387101)", "Services > House & Garden > Hot Tubs (1387102)", "Leisure > Hotels & Motels > Hotels (1322301)", "Real Estate > Hotels & Motels > Hotels (1322302)", "Leisure > Hotels & Motels (1294301)", "Real Estate > Hotels & Motels (1294302)", "Services > House & Garden", "Manufacturing > Other > House & Garden Products Manufacturers", "Services > Construction > Housebuilders", "Food > Cafes > Ice Cream Parlours (1322701)", "Real Estate > Cafes > Ice Cream Parlours (1322702)", "Food > Mobile Catering > Ice Cream Trucks", "Services > General > Import & Export", "Food > Restaurants > Indian Restaurants (1344101)", "Real Estate > Restaurants > Indian Restaurants (1344102)", "Manufacturing > Other > Industrial", "Services > Maintenance > Industrial Cleaning", "Real Estate > Industrial Warehouse / Distribution", "Tech & Media > Information Technology", "Services > Professional > Insurance Related", "Services > House & Garden > Interior Designers", "Online > Internet", "Real Estate > Investment", "Online > Apps > iOS Apps", "Online > Internet > ISPs", "Tech & Media > Information Technology > IT Consultancies", "Tech & Media > Information Technology > IT Maintenance", "Tech & Media > Information Technology > IT Manufacturing", "Food > Restaurants > Italian Restaurants (1344001)", "Real Estate > Restaurants > Italian Restaurants (1344002)", "Retail > General > Jewellers", "Food > Cafes > Juice Bars (1391101)", "Real Estate > Cafes > Juice Bars (1391102)", "Manufacturing > Furniture & Wood > Kitchen & Bedroom Manufacturers", "Retail > Home & Garden > Kitchen Related (1350101)", "Services > House & Garden > Kitchen Related (1350102)", "Retail > Clothing > Ladies Wear", "Real Estate > Land", "Services > House & Garden > Landscaping (1348801)", "Services > Construction > Landscaping (1348802)", "Services > General > Laundry", "Services > Professional > Lawyers/Legal", "Leisure", "Franchise Resales > Leisure Franchise Resales", "Real Estate > Light Industrial", "Food > Retailers > Liquor Stores/Off Licences/Wine Merchants (1327702)", "Retail > Food & Drink > Liquor Stores/Off Licences/Wine Merchants (1327701)", "Services > General > Locksmiths", "Manufacturing > Machinery & Metal > Machine Shop", "Manufacturing > Machinery & Metal", "Services > Maintenance > Machinery Repair & Maintenance", "Services > Postal & Communication > Mail Box Services", "Retail > General > Mail Order", "Services > Construction > Main Contractors", "Services > Maintenance", "Services > Professional > Management Consultancy", "Real Estate > Management Rights", "Manufacturing (1293501)", "Engineering > Manufacturing (1380001)", "Tech & Media > Advertising & Marketing > Marketing (1374401)", "Services > Advertising & Marketing > Marketing (1374402)", "Online > Internet > Marketplace", "Services > Hire > Marquees", "Engineering > Mechanical Services", "Tech & Media > Media", "Services > Health Care > Medical Practices", "Manufacturing > Other > Medical Products Manufacturers", "Services > Health Care > Medical Supply", "Retail > Clothing > Mens Wear", "Online > Internet > Merch by Amazon", "Manufacturing > Machinery & Metal > Metal Products Manufacturers", "Food > Restaurants > Mexican Restaurants (1375101)", "Real Estate > Restaurants > Mexican Restaurants (1375102)", "Food > Restaurants > Middle Eastern Restaurants (1374801)", "Real Estate > Restaurants > Middle Eastern Restaurants (1374802)", "Retail > General > Military", "Manufacturing > Mining", "Leisure > Recreation > Misc Sports", "Agriculture > Misc. Agriculture", "Retail > Clothing > Misc. Clothing", "Services > Construction > Misc. Construction", "Wholesale & Distribution > Distribution > Misc. Distribution", "Leisure > Entertainment & Fun > Misc. Entertainment & Fun", "Services > Financial > Misc. Financial Related", "Food > Retailers > Misc. Food Retailers (1358302)", "Retail > Food & Drink > Misc. Food Retailers (1358301)", "Franchise Resales > Misc. Franchise Resales", "Retail > Health & Beauty > Misc. Health & Beauty (1362001)", "Services > Health & Beauty > Misc. Health & Beauty (1362002)", "Services > Health Care > Misc. Health Care", "Services > Hire > Misc. Hire Services", "Leisure > Hotels & Motels > Misc. Holiday (1322001)", "Real Estate > Hotels & Motels > Misc. Holiday (1322002)", "Retail > Home & Garden > Misc. Home & Garden (1362301)", "Services > House & Garden > Misc. Home & Garden (1362302)", "Online > Internet > Misc. Internet", "Tech & Media > Information Technology > Misc. IT", "Services > Maintenance > Misc. Maintenance Services", "Manufacturing > Other > Misc. Manufacturing", "Tech & Media > Media > Misc. Media", "Services > Pets > Misc. Pet Services", "Services > Postal & Communication > Misc. Postal", "Services > Professional > Misc. Professional", "Real Estate > Misc. Property", "Leisure > Recreation > Misc. Recreation", "Food > Restaurants > Misc. Restaurants (1332001)", "Real Estate > Restaurants > Misc. Restaurants (1332002)", "Retail > General > Misc. Retail", "Services > General > Misc. Services", "Services > Transportation > Misc. Transport Services", "Retail > TV, Audio, Video & Photographic > Misc. TV, Audio, Video & Photographic", "Retail > Vehicles > Misc. Vehicle Related", "Wholesale & Distribution > Wholesale > Misc. Wholesale", "Manufacturing > Machinery & Metal > Miscellaneous Machinery & Metal", "Food > Mobile Catering", "Leisure > Hotels & Motels > Motels (1326501)", "Real Estate > Hotels & Motels > Motels (1326502)", "Retail > Vehicles > Motor Cycle Related", "Retail > TV, Audio, Video & Photographic > Music Shops", "Retail > Health & Beauty > Nail Bars (1387901)", "Services > Health & Beauty > Nail Bars (1387902)", "Tech & Media > Information Technology > Networks", "Retail > General > Newsagents", "Leisure > Pubs, Bars & Nightclubs > Nightclubs (1327301)", "Real Estate > Pubs, Bars & Nightclubs > Nightclubs (1327302)", "Retail > General > Office Furniture", "Real Estate > Offices & Business Centers", "Manufacturing > Other > Oil & Petrochemical Related (1359901)", "Energy > Oil & Petrochemical Related (1359902)", "Online", "Services > Health Care > Opticians", "Services > Health Care > Optometrists", "Manufacturing > Other", "Engineering > Other Technical Services", "Leisure > Recreation > Outdoor Adventure", "Services > General > Packaging (1388802)", "Wholesale & Distribution > Distribution > Packaging (1388801)", "Services > Transportation > Parking Lots (1391001)", "Real Estate > Parking Lots (1391002)", "Retail > General > Party", "Retail > General > Pawn Shops", "Services > General > Personal Services", "Retail > General > Pet Grooming (1386301)", "Services > Pets > Pet Grooming (1386302)", "Retail > General > Pet Shops", "Services > Pets", "Retail > General > Phone Shops", "Services > General > Photocopying Businesses", "Retail > TV, Audio, Video & Photographic > Photographic Services", "Food > Cafes > Pizza Delivery (1330001)", "Food > Restaurants > Pizza Delivery (1330003)", "Real Estate > Cafes > Pizza Delivery (1330002)", "Real Estate > Restaurants > Pizza Delivery (1330004)", "Food > Restaurants > Pizza Restaurants (1344801)", "Real Estate > Restaurants > Pizza Restaurants (1344802)", "Food > Mobile Catering > Pizza Trucks", "Services > Hire > Plant & Machinery Hire", "Manufacturing > Other > Plastic Fabrication", "Services > Maintenance > Plumbers (1362701)", "Services > Construction > Plumbers (1362702)", "Retail > General > Post Offices", "Services > Postal & Communication", "Leisure > Pubs, Bars & Nightclubs > Premium Free Leaseholds (1382601)", "Real Estate > Pubs, Bars & Nightclubs > Premium Free Leaseholds (1382602)", "Online > Internet > Print on Demand", "Tech & Media > Media > Printing & Typesetting Services (1342803)", "Services > General > Printing & Typesetting Services (1342802)", "Services > Printing & Typesetting Services (1342801)", "Services > Professional > Procurement", "Services > Professional", "Services > Education > Professional Training", "Services > Construction > Professionals", "Services > Professional > Property Agents", "Services > Professional > Property Services", "Services > Professional > Public Shell Companies", "Tech & Media > Media > Publishing", "Leisure > Pubs, Bars & Nightclubs > Pubs (1331001)", "Real Estate > Pubs, Bars & Nightclubs > Pubs (1331002)", "Leisure > Pubs, Bars & Nightclubs (1294201)", "Real Estate > Pubs, Bars & Nightclubs (1294202)", "Agriculture > Ranches", "Services > Professional > Ready Made Shelf Companies", "Real Estate", "Real Estate > Real Estate Development", "Leisure > Recreation", "Services > Professional > Recruitment", "Services > Maintenance > Recycling", "Services > General > Refrigeration & Cold Storage (1392302)", "Wholesale & Distribution > Refrigeration & Cold Storage (1392301)", "Services > Transportation > Removal Services (1347001)", "Services > House & Garden > Removal Services (1347002)", "Energy > Renewable Energy ", "Real Estate > Residential", "Leisure > Hotels & Motels > Resorts (1349601)", "Real Estate > Hotels & Motels > Resorts (1349602)", "Food > Restaurants (1386001)", "Real Estate > Restaurants (1386002)", "Tech & Media > Information Technology > Retail (1364201)", "Retail (1293801)", "Franchise Resales > Retail Franchise Resales", "Real Estate > Retail Shops To Lease", "Real Estate > Retail Warehouse", "Food > Retailers", "Services > Transportation > Road Haulage & Freight Services", "Services > House & Garden > Roofing Services (1373201)", "Services > Construction > Roofing Services (1373202)", "Leisure > Hotels & Motels > RV Park (1383701)", "Real Estate > Hotels & Motels > RV Park (1383702)", "Online > Internet > SaaS", "Tech & Media > Advertising & Marketing > Sales (1373701)", "Services > Professional > Sales (1373703)", "Services > Advertising & Marketing > Sales (1373702)", "Food > Cafes > Sandwich Shops & Delivery (1332703)", "Food > Retailers > Sandwich Shops & Delivery (1332702)", "Retail > Food & Drink > Sandwich Shops & Delivery (1332701)", "Real Estate > Cafes > Sandwich Shops & Delivery (1332704)", "Manufacturing > Furniture & Wood > Sawmills", "Retail > Clothing > School Uniform", "Leisure > Recreation > Scuba Diving", "Services > General > Security Related", "Real Estate > Self Storage", "Franchise Resales > Service Franchise Resales", "Services", "Services > Postal & Communication > Shipping Services", "Retail > Clothing > Shoe Repair Services (1347101)", "Services > General > Shoe Repair Services (1347102)", "Retail > Clothing > Shoe Shops", "Online > Internet > Shopify Stores", "Real Estate > Shopping Center Units", "Tech & Media > Advertising & Marketing > Sign Makers (1367201)", "Manufacturing > Other > Sign Makers (1367203)", "Services > Advertising & Marketing > Sign Makers (1367202)", "Leisure > Recreation > Ski & Related", "Food > Cafes > Smoothie and Yogurt Bars (1378601)", "Real Estate > Cafes > Smoothie and Yogurt Bars (1378602)", "Food > Cafes > Snack Bars (1374501)", "Real Estate > Cafes > Snack Bars (1374502)", "Leisure > Recreation > Snooker & Pool Centres", "Leisure > Entertainment & Fun > Social Clubs", "Retail > Home & Garden > Soft Furnishing (1372801)", "Services > House & Garden > Soft Furnishing (1372802)", "Tech & Media > Information Technology > Software", "Energy > Renewable Energy > Solar Energy", "Leisure > Recreation > Spa (1372501)", "Retail > Health & Beauty > Spa (1372502)", "Services > Health & Beauty > Spa (1372503)", "Food > Retailers > Specialist Food (1375402)", "Retail > Food & Drink > Specialist Food (1375401)", "Services > Construction > Specialist Subcontractors", "Manufacturing > Other > Sport Equipment Manufacturers", "Leisure > Recreation > Sports Centres", "Retail > General > Sports Shops (1335401)", "Retail > Clothing > Sports Shops (1335402)", "Leisure > Recreation > Sports Teams", "Retail > General > Stationery & Office Supplies", "Services > General > Storage / Warehouse", "Leisure > Pubs, Bars & Nightclubs > Strip Clubs (1385701)", "Real Estate > Pubs, Bars & Nightclubs > Strip Clubs (1385702)", "Food > Retailers > Supermarkets (1336202)", "Retail > Food & Drink > Supermarkets (1336201)", "Leisure > Recreation > Surfing", "Services > Professional > Surveyors", "Food > Restaurants > Sushi / Seafood Restaurants (1374601)", "Real Estate > Restaurants > Sushi / Seafood Restaurants (1374602)", "Leisure > Recreation > Swimming Pool (1342701)", "Retail > Home & Garden > Swimming Pool (1342702)", "Services > House & Garden > Swimming Pool (1342703)", "Retail > Clothing > Tailors (1363001)", "Services > General > Tailors (1363002)", "Food > Restaurants > Take Aways (1336701)", "Real Estate > Restaurants > Take Aways (1336702)", "Retail > Health & Beauty > Tanning Salons (1358201)", "Services > Health & Beauty > Tanning Salons (1358202)", "Retail > Health & Beauty > Tattoo Parlors (1391701)", "Services > Health & Beauty > Tattoo Parlors (1391702)", "Services > Transportation > Taxi Services", "Food > Cafes > Tea Rooms (1336901)", "Real Estate > Cafes > Tea Rooms (1336902)", "Tech & Media", "Tech & Media > Information Technology > Telecommunication", "Services > Postal & Communication > Telephone Services", "Leisure > Recreation > Tennis Clubs", "Manufacturing > Other > Textile Manufacturers", "Leisure > Entertainment & Fun > Theatre", "Leisure > Entertainment & Fun > Theme Parks", "Retail > General > Tile Suppliers (1390702)", "Retail > Home & Garden > Tile Suppliers (1390701)", "Services > House & Garden > Tiling Installation (1390802)", "Services > Construction > Tiling Installation (1390801)", "Retail > Vehicles > Tires", "Retail > General > Tobacconists", "Services > Hire > Tool & Equipment Hire", "Manufacturing > Machinery & Metal > Toolmakers & Precision", "Leisure > Recreation > Tour Operators", "Leisure > Recreation > Tourism (1386201)", "Services > Professional > Tourism (1386202)", "Retail > General > Toy Shops", "Services > General > Translation Services", "Services > Transportation", "Manufacturing > Transportation Related", "Retail > General > Travel Agents (1337901)", "Services > General > Travel Agents (1337902)", "Tech & Media > Media > TV & Radio", "Retail > TV, Audio, Video & Photographic", "Retail > TV, Audio, Video & Photographic > TV, Video & Hi Fi Shops", "Retail > General > Vape Shops", "Retail > Vehicles > Vehicle Accessory Shops", "Services > Transportation > Vehicle Leasing Services", "Retail > Vehicles", "Food > Retailers > Vending Related (1345502)", "Retail > Food & Drink > Vending Related (1345501)", "Services > Pets > Vets", "Retail > TV, Audio, Video & Photographic > Video Games Stores", "Retail > TV, Audio, Video & Photographic > Video/DVD Rental", "Manufacturing > Vineyards & Wineries (1387703)", "Food > Vineyards & Wineries (1387702)", "Agriculture > Vineyards & Wineries (1387701)", "Services > Maintenance > Waste Management", "Tech & Media > Advertising & Marketing > Web Design/Development (1365203)", "Services > Advertising & Marketing > Web Design/Development (1365202)", "Online > Internet > Web Design/Development (1365201)", "Online > Internet > Websites", "Services > Wedding", "Food > Catering Services > Wedding Catering (1386601)", "Services > Wedding > Wedding Catering (1386602)", "Retail > Clothing > Wedding Clothing (1304401)", "Services > Wedding > Wedding Clothing (1304402)", "Services > Wedding > Wedding Services", "Leisure > Recreation > Wedding Venues (1386801)", "Services > Wedding > Wedding Venues (1386802)", "Wholesale & Distribution > Wholesale", "Wholesale & Distribution", "Energy > Renewable Energy > Wind Energy", "Services > Maintenance > Window Cleaning & Washing", "Manufacturing > Furniture & Wood > Wood Products Manufacturers", "Leisure > Recreation > Yoga Studio" ] } }, "premises_type": { "title": "Filter by Premises Type", "uniqueItems": true, "type": "array", "description": "Limit discovery to listings that match selected premises contexts, such as real property, lease, or relocatable businesses. Leave empty when premises type should not narrow the dataset.", "items": { "type": "string", "enum": [ "real_property", "lease", "relocatable" ], "enumTitles": [ "Real Property", "Lease", "Relocatable" ] } }, "business_type": { "title": "Filter by Listing Attributes", "uniqueItems": true, "type": "array", "description": "Select marketplace attributes such as franchise, work from home, price reduced, owner financed, hidden gem, quick sale, low cost, or distressed. Use these filters to narrow sourcing lists by deal style or buyer strategy.", "items": { "type": "string", "enum": [ "work_from_home", "accommodation_included", "franchise", "business_opportunity", "price_reduced", "mid_market", "distressed", "low_cost", "owner_financed", "hidden_gem", "quick_sale" ], "enumTitles": [ "Work From Home", "Accommodation Included", "Franchise", "Business Opportunity", "Price Reduced", "Mid Market", "Distressed", "Low Cost", "Owner Financed", "Hidden Gem", "Quick Sale" ] } }, "management_type": { "title": "Filter by Management Model", "uniqueItems": true, "type": "array", "description": "Choose management models such as owner managed, employee owned, or absentee ownership when operational involvement is part of the sourcing criteria. Leave empty to include all management models.", "items": { "type": "string", "enum": [ "owner_managed", "employee_owned", "absentee_ownership" ], "enumTitles": [ "Owner Managed", "Employee Owned (ESOP)", "Absentee Ownership" ] } }, "publication_date": { "title": "Filter by Listing Freshness", "enum": [ "last_3_days", "last_14_days", "last_month", "last_3_months" ], "type": "string", "description": "Restrict discovery to recently published listings when you want a fresh pipeline, alert-style monitoring, or newly listed opportunities. Leave empty to include listings regardless of publication date." }, "min_price": { "title": "Set Minimum Asking Price", "minimum": 0, "type": "integer", "description": "Set the lowest asking price to include. Leave empty when smaller opportunities should remain in scope." }, "max_price": { "title": "Set Maximum Asking Price", "minimum": 0, "type": "integer", "description": "Set the highest asking price to include. Leave empty when larger opportunities should remain in scope." }, "only_disclosed_price": { "title": "Require Disclosed Asking Price", "type": "boolean", "description": "Enable this when pricing transparency is required for screening, valuation models, or ETL handoff. Price range filters also require disclosed prices automatically.", "default": false }, "min_cashflow": { "title": "Set Minimum Cash Flow", "minimum": 0, "type": "integer", "description": "Set the lowest displayed cash flow to include. Leave empty when lower-cash-flow listings should remain eligible." }, "max_cashflow": { "title": "Set Maximum Cash Flow", "minimum": 0, "type": "integer", "description": "Set the highest displayed cash flow to include. Leave empty when higher-cash-flow listings should remain eligible." }, "only_disclosed_cashflow": { "title": "Require Disclosed Cash Flow", "type": "boolean", "description": "Enable this when cash-flow visibility is required for screening, valuation, or downstream modeling. Cash-flow range filters also require disclosed cash flow automatically.", "default": false }, "min_revenue": { "title": "Set Minimum Revenue", "minimum": 0, "type": "integer", "description": "Set the lowest displayed revenue to include. Leave empty when lower-revenue listings should remain eligible." }, "max_revenue": { "title": "Set Maximum Revenue", "minimum": 0, "type": "integer", "description": "Set the highest displayed revenue to include. Leave empty when higher-revenue listings should remain eligible." }, "enrich_data": { "title": "Collect Richer Business Listing Details", "type": "boolean", "description": "Keep enabled when you want fuller descriptions, broker details, seller references, business operations, property information, support notes, financing notes, and other detail-page fields when available. Turn it off for faster exploratory runs when lightweight search-result records are enough.", "default": true }, "limit": { "title": "Set Maximum Records per Input", "minimum": 1, "type": "integer", "description": "Choose the maximum number of business listing records to save for each source URL or discovery search. Use a smaller value for validation runs and a larger value for recurring exports, enrichment backfills, or ETL handoff." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```