# Flippa Scraper - Online Businesses, Websites & Domains For Sale (`scrapesage/flippa-scraper`) Actor Scrape Flippa listings: websites, SaaS, e-commerce, apps & domains for sale with full financials, traffic, multiples and seller leads. - **URL**: https://apify.com/scrapesage/flippa-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Real estate, Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 listing scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Flippa Scraper — Online Businesses, Websites, SaaS, Apps & Domains For Sale Extract **complete Flippa listing data** — the full deal sheet other scrapers leave half-empty: **real asking price, monthly & annual revenue and profit, verified-revenue/traffic flags, revenue & profit multiples, business age, category and seller** — for every website, e-commerce store, SaaS, app, newsletter and domain on the market. Optionally turn each listing into a **ready-to-contact acquisition lead** by crawling the business's own website for contact **emails, phones and socials**, and run it in **monitoring mode** to capture only listings that are new since your last run. No login, no cookies, no browser — fast JSON extraction from Flippa's own data layer with 99%+ reliability. ### Why this Flippa scraper? Most Flippa scrapers make you paste search URLs, skip the financial derivations, and never touch the seller side. This actor is **query-driven** (pick filters, no URL-building), computes the metrics acquirers actually screen on, and ships the **richest dataset in the category**: | Data | Typical scrapers | This actor | |---|---|---| | Asking price, buy-it-now, sale method | ✅ | ✅ | | Monthly **and** annualised revenue & profit | partial | ✅ | | **Revenue multiple & profit multiple** (derived) | ❌ | ✅ | | Verified-revenue / verified-traffic flags | partial | ✅ | | Page views & uniques / month (when Flippa exposes them) | ❌ | ✅ | | Business **age** (from established date) | ❌ | ✅ | | Category, industry & monetization tags (named) | ❌ | ✅ | | Business website + hostname | partial | ✅ | | Seller location, super-seller badge, seller profile | ❌ | ✅ | | **Contact emails / phones / socials** (from the business site) | ❌ | ✅ opt-in | | Lead score (0–100) per listing | ❌ | ✅ | | Query by keyword, type, industry, price, sale method | partial | ✅ | | **Monitoring mode** — only new listings since last run | ❌ | ✅ | ### Use cases - **Deal sourcing & acquisition** — screen the entire Flippa market by price, multiple, revenue, niche and verification, then jump straight to the strongest deals ranked by `profitMultiple` and `leadScore`. - **Off-market outreach & brokerage leads** — every non-confidential listing exposes the business's own website; with `includeContactLeads` on you get the owner's **email, phone and socials** to reach sellers directly (buy-side sourcing, aggregator pipelines, broker prospecting). - **Market & valuation intelligence** — track asking prices, revenue/profit multiples and sell-through across SaaS, e-commerce, content, apps and domains to benchmark what businesses actually trade for. - **Portfolio & competitor monitoring** — schedule recurring runs in monitoring mode to get an alert the moment a new business lists in your niche or price band. - **Newsletters, dashboards & datasets** — feed "businesses for sale" digests, deal-flow dashboards, or research datasets with clean, structured listing data. ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **Flippa Scraper**, choose filters (keyword, property types, industries, price range, sale method) or paste Flippa search URLs, and click **Start**. 3. Watch results stream into the dataset table. 4. **Export** as JSON, CSV, Excel, XML or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2). ### Input ```json { "searchQuery": "ai", "propertyTypes": ["saas", "ecommerce_store", "ai_apps_and_tools"], "industries": ["internet", "business"], "saleMethod": "any", "priceMin": 1000, "priceMax": 250000, "revenueGeneratingOnly": true, "verifiedOnly": false, "sort": "newest", "maxResults": 100, "includeContactLeads": true, "onlyNewListings": false } ```` - **searchQuery** — free-text keyword (e.g. `ai`, `newsletter`, `shopify`, `amazon fba`). Optional. - **propertyTypes** — asset types: SaaS, e-commerce store, content site, AI apps & tools, marketplace, Amazon FBA/KDP, domain, apps, agency, YouTube/social, and more. Empty = all. - **industries** — niche filter (internet, business, health & beauty, food & drink, …). Empty = all. - **saleMethod** — `any`, `classified` (buy-it-now) or `auction`. - **priceMin / priceMax** — asking-price band in USD. - **revenueGeneratingOnly** — only businesses currently making money. - **verifiedOnly** — only listings with Flippa-verified revenue or traffic. - **sort** — `newest`, `ending_soon`, `price_low`, `price_high`, `most_bids`, `most_relevant`. - **startUrls** — paste Flippa search or listing URLs; their filters are honored. - **listingIds** — scrape specific listings by numeric ID. - **maxResults** *(default 100)* — cap the number of listings; `0` = no limit. - **includeContactLeads** *(default false)* — visit each business's own website (home + contact/about) and extract emails, phones and social links. - **maxLeadPagesPerSite** *(default 3)* — pages per business site to crawl for contacts. - **onlyNewListings** *(default false)* — monitoring mode: output only listings not seen in previous runs. ### Output One record per listing: ```json { "type": "listing", "listingId": "13394841", "title": "Profitable AI newsletter, 22k subs, $4.1k MRR", "propertyName": "SignalStack", "summary": "Daily AI newsletter with 22,000 subscribers and sponsor revenue…", "listingUrl": "https://flippa.com/13394841-profitable-ai-newsletter", "websiteUrl": "https://signalstack.io/", "hostname": "signalstack.io", "propertyType": "content_and_media_project", "propertyTypeLabel": "Content & media", "industry": "internet", "categories": ["Internet"], "monetizationTags": ["Advertising", "Subscriptions"], "saleMethod": "classified", "status": "open", "confidential": false, "currency": "USD", "askingPrice": 149000, "buyItNowPrice": 149000, "hasVerifiedRevenue": true, "revenuePerMonth": 4100, "annualRevenue": 49200, "profitPerMonth": 3600, "annualProfit": 43200, "revenueMultiple": 3.03, "profitMultiple": 3.45, "hasVerifiedTraffic": true, "pageViewsPerMonth": 88000, "uniquesPerMonth": 41000, "bidCount": null, "endsAt": "2026-08-31T03:14:53+10:00", "establishedAt": "2022-05-01T00:00:00+10:00", "ageYears": 4.2, "sellerId": "4901920", "sellerLocation": "United States", "superSeller": true, "sellerUrl": "https://flippa.com/users/4901920", "thumbnailUrl": "https://static2.flippa.com/thumbnail2x_84805fc0.png", "contactEmails": ["hello@signalstack.io"], "contactPhones": ["+1 415 555 0134"], "socialLinks": { "twitter": "https://twitter.com/signalstack", "linkedin": "https://linkedin.com/company/signalstack" }, "leadScore": 92, "source": "flippa.com", "scrapedAt": "2026-07-01T12:00:00.000Z" } ``` ### Automate & schedule Run this actor on autopilot and pull results into your own stack: - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets and manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run it hourly/daily to watch a niche or price band; combine with `onlyNewListings` for a clean new-deal feed. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/flippa-scraper').call({ propertyTypes: ['saas', 'ecommerce_store'], priceMin: 5000, revenueGeneratingOnly: true, onlyNewListings: true, maxResults: 200, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} new Flippa listings`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new deals or seller leads straight into your CRM. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get pinged when a monitored search finds a new listing. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. You can call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find profitable SaaS businesses under $50k with verified revenue and list the seller contacts" and let it run this scraper for you. ### Agent-ready: autonomous payments (x402 & Skyfire) This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards: - **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key. - **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows. Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes. ### More scrapers from scrapesage Build a complete **deal-sourcing & business-intelligence stack**: - **[BizBuySell Scraper](https://apify.com/scrapesage/bizbuysell-scraper)** — brick-and-mortar & Main Street businesses for sale, with broker leads. - **[Shopify Store Scraper](https://apify.com/scrapesage/shopify-store-scraper)** — products, variants, prices and leads from live Shopify stores. - **[Website Tech Stack Scraper](https://apify.com/scrapesage/website-tech-stack-scraper)** — detect a site's tech stack and turn it into lead intelligence. - **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — emails, phones and socials from any list of websites. - **[Amazon Scraper](https://apify.com/scrapesage/amazon-scraper)** — products, prices, reviews and sellers. - **[Apple App Store Scraper](https://apify.com/scrapesage/app-store-scraper)** — apps, charts and reviews. - **[LinkedIn Company Scraper](https://apify.com/scrapesage/linkedin-company-scraper)** — firmographics and B2B company leads. - **[Google Ads Transparency Scraper](https://apify.com/scrapesage/google-ads-transparency-scraper)** — who's advertising what, for competitive intelligence. ### Tips - **Screen for quality deals**: set `revenueGeneratingOnly: true` and `verifiedOnly: true`, then sort your export by `profitMultiple` ascending to surface the cheapest cash-flow. - **Best leads**: turn on `includeContactLeads` and filter the dataset to rows where `contactEmails` is non-empty and `leadScore ≥ 70`. - **Recurring deal alerts**: combine [Schedules](https://docs.apify.com/platform/schedules) with `onlyNewListings: true` — each run emits only businesses listed since the previous run. - **Cost control**: contact-lead enrichment only visits sites for non-confidential listings that expose a website; keep `maxLeadPagesPerSite` low (2–3) for speed. ### FAQ **Can I scrape Flippa without paste-in URLs?** Yes — just pick filters (keyword, property type, industry, price, sale method). The actor builds the queries for you. You *can* also paste Flippa search or listing URLs into `startUrls`. **Where do the contact emails come from?** Never from Flippa. With `includeContactLeads` on, the actor visits the **business's own public website** (the one being sold) and extracts publicly listed contact details — the same thing a human buyer would do during diligence. **Why are traffic (page views/uniques) sometimes null?** Flippa only exposes traffic figures for listings with connected/verified analytics (~a quarter of listings). Those fields are `null` only when Flippa itself doesn't publish them — not because the scraper skipped them. **Why is there no multiple on some listings?** Revenue/profit multiples are only defined for businesses that actually make money. Pre-revenue starter sites, loss-making projects and domains have no multiple, so the field is an honest `null`. **How do I monitor new listings automatically?** Turn on `onlyNewListings`, then create a [Schedule](https://docs.apify.com/platform/schedules) (e.g. hourly). Each run outputs only listings that are new since the last run. Add a [webhook](https://docs.apify.com/platform/integrations/webhooks) or [Zapier zap](https://docs.apify.com/platform/integrations/zapier) to push them into your CRM or Slack. **Is scraping Flippa legal?** This actor collects publicly available listing data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and Flippa's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `searchQuery` (type: `string`): Free-text keyword to search Flippa listings (e.g. "ai", "newsletter", "shopify", "amazon fba"). Leave empty to browse by filters only. ## `propertyTypes` (type: `array`): Restrict to specific asset types (matched on each listing's real Flippa type). Leave empty for all types. ## `industries` (type: `array`): Restrict to specific industries. Leave empty for all industries. ## `saleMethod` (type: `string`): Auction, fixed-price (classified), or any. ## `priceMin` (type: `integer`): Only listings priced at or above this amount. ## `priceMax` (type: `integer`): Only listings priced at or below this amount. ## `revenueGeneratingOnly` (type: `boolean`): Only include businesses that currently generate revenue. ## `verifiedOnly` (type: `boolean`): Only include listings whose revenue or traffic is Flippa-verified. ## `sort` (type: `string`): Order of returned listings. ## `startUrls` (type: `array`): Paste Flippa search-result URLs or individual listing URLs. Their filters are honored. Overrides the filters above when provided. ## `listingIds` (type: `array`): Scrape specific Flippa listings by their numeric ID (e.g. "13394841"). ## `maxResults` (type: `integer`): Maximum number of listings to return. Use 0 for no limit (scrapes everything matching the filters — can be tens of thousands). ## `includeContactLeads` (type: `boolean`): For each non-confidential listing that exposes the business website, visit that site (home + contact/about) and extract contact emails, phone numbers and social links — turning each listing into a ready-to-contact acquisition lead. Adds a little time per listing. ## `maxLeadPagesPerSite` (type: `integer`): How many pages of each business website to crawl for contact details. ## `onlyNewListings` (type: `boolean`): Remember listings already seen in previous runs (in this Actor's key-value store) and output ONLY listings that are new since the last run. Perfect for scheduled deal-flow alerts. Works alongside Apify Schedules. ## `proxyConfiguration` (type: `object`): Flippa is reached through a proxy for reliability. Residential proxies are recommended. ## Actor input object example ```json { "searchQuery": "ai", "propertyTypes": [ "saas", "ecommerce", "ai_tools" ], "saleMethod": "any", "revenueGeneratingOnly": false, "verifiedOnly": false, "sort": "newest", "maxResults": 100, "includeContactLeads": false, "maxLeadPagesPerSite": 3, "onlyNewListings": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "propertyTypes": [ "saas", "ecommerce", "ai_tools" ], "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/flippa-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 = { "propertyTypes": [ "saas", "ecommerce", "ai_tools", ], "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("scrapesage/flippa-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 '{ "propertyTypes": [ "saas", "ecommerce", "ai_tools" ], "maxResults": 100 }' | apify call scrapesage/flippa-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/flippa-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flippa Scraper - Online Businesses, Websites & Domains For Sale", "description": "Scrape Flippa listings: websites, SaaS, e-commerce, apps & domains for sale with full financials, traffic, multiples and seller leads.", "version": "0.1", "x-build-id": "H0XsBryQEQinwIqhb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~flippa-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-flippa-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~flippa-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-flippa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~flippa-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-flippa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "🔎 Search keyword", "type": "string", "description": "Free-text keyword to search Flippa listings (e.g. \"ai\", \"newsletter\", \"shopify\", \"amazon fba\"). Leave empty to browse by filters only." }, "propertyTypes": { "title": "🏷️ Property types", "type": "array", "description": "Restrict to specific asset types (matched on each listing's real Flippa type). Leave empty for all types.", "items": { "type": "string", "enum": [ "ecommerce", "saas", "content", "ai_tools", "apps", "domains", "marketplace", "amazon_fba", "amazon_kdp", "agency_service", "youtube_social", "newsletter" ], "enumTitles": [ "E-commerce store", "SaaS & software", "Content / blog site", "AI apps & tools", "Apps (iOS/Android/mobile)", "Domains", "Marketplace", "Amazon FBA", "Amazon KDP", "Agency / service", "YouTube / social", "Newsletter" ] } }, "industries": { "title": "🏭 Industries / niches", "type": "array", "description": "Restrict to specific industries. Leave empty for all industries.", "items": { "type": "string", "enum": [ "internet", "business", "health-and-beauty", "lifestyle", "food-and-drink", "home-and-garden", "entertainment", "hobbies-and-games", "general-knowledge", "sports-and-outdoor", "electronics", "design-and-style", "travel", "education" ], "enumTitles": [ "Internet", "Business", "Health & beauty", "Lifestyle", "Food & drink", "Home & garden", "Entertainment", "Hobbies & games", "General knowledge", "Sports & outdoor", "Electronics", "Design & style", "Travel", "Education" ] } }, "saleMethod": { "title": "💼 Sale method", "enum": [ "any", "classified", "auction" ], "type": "string", "description": "Auction, fixed-price (classified), or any.", "default": "any" }, "priceMin": { "title": "💲 Min asking price (USD)", "minimum": 0, "type": "integer", "description": "Only listings priced at or above this amount." }, "priceMax": { "title": "💲 Max asking price (USD)", "minimum": 0, "type": "integer", "description": "Only listings priced at or below this amount." }, "revenueGeneratingOnly": { "title": "📈 Revenue-generating only", "type": "boolean", "description": "Only include businesses that currently generate revenue.", "default": false }, "verifiedOnly": { "title": "✅ Verified revenue/traffic only", "type": "boolean", "description": "Only include listings whose revenue or traffic is Flippa-verified.", "default": false }, "sort": { "title": "↕️ Sort by", "enum": [ "newest", "ending_soon", "price_low", "price_high", "most_bids", "most_relevant" ], "type": "string", "description": "Order of returned listings.", "default": "newest" }, "startUrls": { "title": "🔗 Start URLs (optional)", "type": "array", "description": "Paste Flippa search-result URLs or individual listing URLs. Their filters are honored. Overrides the filters above when provided.", "items": { "type": "string" } }, "listingIds": { "title": "🆔 Listing IDs (optional)", "type": "array", "description": "Scrape specific Flippa listings by their numeric ID (e.g. \"13394841\").", "items": { "type": "string" } }, "maxResults": { "title": "🔢 Max listings", "minimum": 0, "type": "integer", "description": "Maximum number of listings to return. Use 0 for no limit (scrapes everything matching the filters — can be tens of thousands).", "default": 100 }, "includeContactLeads": { "title": "📧 Enrich seller/business contact leads", "type": "boolean", "description": "For each non-confidential listing that exposes the business website, visit that site (home + contact/about) and extract contact emails, phone numbers and social links — turning each listing into a ready-to-contact acquisition lead. Adds a little time per listing.", "default": false }, "maxLeadPagesPerSite": { "title": "📄 Max pages per site (lead enrichment)", "minimum": 1, "maximum": 6, "type": "integer", "description": "How many pages of each business website to crawl for contact details.", "default": 3 }, "onlyNewListings": { "title": "🆕 Monitoring mode — only new listings", "type": "boolean", "description": "Remember listings already seen in previous runs (in this Actor's key-value store) and output ONLY listings that are new since the last run. Perfect for scheduled deal-flow alerts. Works alongside Apify Schedules.", "default": false }, "proxyConfiguration": { "title": "🌐 Proxy configuration", "type": "object", "description": "Flippa is reached through a proxy for reliability. Residential proxies are recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```