# Flippa.com Listings Scraper (`epicscrapers/flippa-scraper`) Actor Scrapes listing data from Flippa.com search pages. Supports filters by status, property type, and sale method. - **URL**: https://apify.com/epicscrapers/flippa-scraper.md - **Developed by:** [Epic Scrapers](https://apify.com/epicscrapers) (community) - **Categories:** Lead generation, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results 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 ## Flippa.com Listings Scraper **Extract detailed listing data** from [Flippa.com](https://flippa.com/) — the world's largest marketplace for buying and selling online businesses, websites, SaaS products, and digital assets. Try it with a single click on the Apify platform — no coding required. Use the API to integrate Flippa data into your own tools, schedule recurring crawls, or export to CSV/Excel. ### Why scrape Flippa.com listings? Whether you're a **digital asset investor**, **M&A broker**, or **market researcher**, Flippa holds a wealth of data on thousands of online businesses for sale. This scraper helps you: - **Identify acquisition opportunities** — monitor new listings across SaaS, content sites, e-commerce stores, and mobile apps - **Perform market analysis** — collect pricing trends, revenue multiples, and sale method patterns by property type - **Build deal-flow pipelines** — feed structured Flippa data into your CRM, spreadsheet, or analytical model - **Track sold listings** — review historical sales data (won/sold status) to benchmark valuations Because the scraper uses **pure HTTP requests** (no headless browser), it's resource-efficient and cost-effective even at scale. ### How to scrape Flippa.com data 1. **Open the Actor** on Apify Console 2. **Configure your search** — paste a Flippa search URL or use the filter fields for status, property type, and sale method 3. **Set limits** — optionally cap results with `maxItems` (0 = scrape all available) 4. **Run the Actor** — click "Start" and watch listings stream into the dataset 5. **Export your data** — download results as JSON, CSV, Excel, or HTML from the Output tab That's it. No browser, no heavy infrastructure, no complex setup. ### Input Configure the scraper through the Apify Console Input tab or via the API. All fields are optional — sensible defaults are provided. | Field | Type | Default | Description | |-------|------|---------|-------------| | `url` | string | Flippa open SaaS listings | Base search URL to scrape. Supports any Flippa search page. | | `status` | string | — | Filter by listing status: `open`, `won`, `sold` | | `propertyType` | string | — | Filter by property type: `website`, `saas`, `ios_app`, `android_app`, `amazon_dca` | | `saleMethod` | string | — | Filter by sale method: `auction`, `classified` | | `maxItems` | integer | `0` (all) | Maximum listings to scrape. Set to `0` for unlimited. | | `delay` | number | `1.0` | Seconds between page requests. Increase if you hit rate limits. | | `useProxy` | boolean | `false` | Enable Apify proxy rotation to bypass IP-based blocking. | #### Filter presets You have two ways to filter results: - **Use the dedicated fields** — `status`, `propertyType`, and `saleMethod` are appended as query parameters to the base URL - **Use a fully custom URL** — paste any Flippa search URL with your desired filters pre-applied. This is recommended for complex filter combinations. > **Tip:** First visit Flippa in your browser, apply all the filters you want, then copy the URL and paste it into the `url` field. When filter fields are provided, they override any existing `filter[...]` params in the URL. ### Output The Actor pushes each Flippa listing as a structured dataset item. You can download the dataset in **JSON, HTML, CSV, or Excel** from the Apify Console. #### Sample output ```json { "id": "12821301", "listing_url": "https://flippa.com/12821301", "title": "TaperFlow.app is a SaaS tool for taper plans, progress tracking, savings insights, and behavior-change support with subscription growth potential.", "summary": "TaperFlow.app is a SaaS tool for taper plans, progress tracking, savings insights, and behavior-change support with subscription growth potential.", "has_verified_traffic": false, "has_verified_revenue": false, "price": 250, "bid_count": 0, "sale_method": "auction", "status": "open", "category": "Health and Beauty", "monetization": "Services & Subscriptions", "profit_average": null, "end_at": "2026-05-30T04:42:27+00:00", "super_seller": false, "broker_seller": false, "sponsored": false, "editors_choice": false, "multiple": 0.0, "has_multiple?": false, "revenue_multiple": 0.0, "target_raise_amount": null, "ttm_revenue": null, "confidential": false, "primary_platform": null, "property_name": "TaperFlow", "established_at": 0, "country_name": "FL, United States", "ready_made": false, "thumbnail_url": "https://static2.flippa.com/webp_1a3b00e7-fca0-4c2e-9ce8-db29d8f6c9d9.webp", "default_image": "https://static.flippa.com/assets/search/placeholders/saas-0488f8c6251392f231d0d07ca10bf17ae3cd138d72e690cf724f0b3e74fded21.svg", "default_image_url": "https://static.flippa.com/assets/search/placeholders/saas-0488f8c6251392f231d0d07ca10bf17ae3cd138d72e690cf724f0b3e74fded21.svg", "blurred_image_url": "https://static2.flippa.com/blurred_thumbnail_f8380a6d-5860-c8e5-29db-3a6bbb3d19f6.png", "blurred_or_thumbnail_url": "https://static2.flippa.com/webp_1a3b00e7-fca0-4c2e-9ce8-db29d8f6c9d9.webp", "property_type": "SaaS", "watched": false, "scores": null, "beta_scores": null, "uniques_per_month": null, "age_label": "Site Age", "formatted_age_in_years": "<1 year", "sale_method_title": "Starting Price", "integrations": [], "integration_icons": [], "currency_label": "USD $", "protect_listing": false, "display_verification_badge": false, "all_verifications": [], "manually_vetted": false, "early_access_listing": false, "early_access_percentage": "100%", "early_access_days_remaining": 0, "early_access_overlay_title_suffix": "in 0 Days", "early_access_open_at": null, "viewer_has_early_access": null, "special_tags": false, "hover_image_url": "https://static2.flippa.com/blurred_thumbnail_f8380a6d-5860-c8e5-29db-3a6bbb3d19f6.png", "basic_info": { "name": "TaperFlow", "hover_image": "https://static2.flippa.com/thumbnail_1a3b00e7-fca0-4c2e-9ce8-db29d8f6c9d9.png", "padlocked": false }, "open_listing": true, "confidential_thumbnail_url": "", "confidential_overlay_class": "", "display_confidential_label": "", "annual_organic_traffic": null, "revenue_average": 0, "authority_score": 0, "app_rating": null, "managed_by_flippa": false, "original_price": null, "price_dropped": false, "price_dropped_percent": null, "under_offer": false, "badges": [], "listing_watchable": true, "show_multiple": false, "invest": false, "action_class": "primary", "key_data": [ { "label": "Type", "value": "SaaS" }, { "label": "Industry", "value": "Health and Beauty" }, { "label": "Monetization", "value": "Services & Subscriptions" }, { "label": "Site Age", "value": "<1 year" }, { "label": "Net Profit", "value": "USD $0 p/mo" } ], "open_to_offer": false, "partial_sale": false, "equity_sale_percentage": "100", "hide_profit": false, "domain_only?": false, "action_button_text": "View Listing", "original_price_text": null, "price_text": "USD $250", "target_raise_amount_text": null } ```` ### Data fields Every listing includes all fields provided by Flippa's search API. Below are the most commonly used fields: | Field | Description | |-------|-------------| | `title` | Listing title | | `url` | Direct URL to the Flippa listing | | `price` | Current asking price or auction price | | `propertyType` | Asset category: `website`, `saas`, `ios_app`, `amazon_dca`, etc. | | `status` | Listing lifecycle status: `open`, `won`, `sold` | | `saleMethod` | How the asset is sold: `auction` or `classified` | | `revenue` | Monthly or annual revenue disclosed by the seller | | `profit` | Monthly or annual profit disclosed by the seller | | `listingId` | Unique Flippa identifier for the listing | | `createdAt` | Date and time the listing was published | | `description` | Full listing description | | `category` | Broader category classification | | `metrics` | Additional metrics (traffic, growth rate, churn, etc.) | Additional fields (images, seller info, tags, etc.) are included when Flippa provides them in the search response. ### Tips for best results 1. **Start small** — run with `maxItems: 25` to verify the output structure matches your expectations 2. **Narrow your search** — use Flippa's built-in filters first, then paste the URL. This gives you precise control over property type, price range, and other listing criteria 3. **Enable proxy for stubborn blocks** — if you see Cloudflare challenges or empty results, toggle `useProxy` to `true` 4. **Mind the rate limits** — the default 1-second delay is polite enough for most use cases. Increase it for large-scale scraping 5. **Use the API** — schedule recurring runs via Apify API to track new listings daily or weekly ### FAQ #### Is this scraper officially affiliated with Flippa? No. This is an independent tool built for legitimate data collection. Always review Flippa's Terms of Service before scraping. #### Do I need a browser or a headless browser like Playwright? No. The scraper uses **pure HTTP requests** via `httpx`. It parses the embedded JSON state from Flippa's server-rendered HTML. This makes it significantly faster and cheaper than browser-based alternatives. #### Can I scrape all Flippa listings? Yes — set `maxItems: 0` to scrape all available results from your search URL. Be mindful of rate limits and use an appropriate delay. #### What happens if I get blocked? Flippa may rate-limit or challenge requests with Cloudflare. If this happens, enable the `useProxy` option to route requests through Apify's residential proxy network. If problems persist, increase the `delay` value. #### Can I scrape sold listings? Yes. Set `status` to `won` or `sold`, or use a Flippa search URL that filters by closed/won listings. The scraper processes whatever search results Flippa returns. Please use a custom URL for better results. #### What data formats are available for export? Apify lets you download the dataset as **JSON, CSV, Excel (XLSX), HTML, XML, RSS, and ODS**. All exports are available from the Output tab in Apify Console or via the Dataset API. #### Can I schedule recurring scrapes? Absolutely. Apify provides built-in scheduling — set up daily, weekly, or custom intervals to monitor new Flippa listings automatically. #### What property types are supported? Flippa lists a wide variety of digital assets. The most common types include `website` (content/affiliate sites), `saas` (software-as-a-service), `ios_app`, `android_app`, `amazon_dca` (FBA businesses), and more. Use the Flippa search filters to see the full list. ### Disclaimers - This scraper is **not affiliated with or endorsed by Flippa** - Users are responsible for complying with Flippa's Terms of Service and applicable laws - The data extracted should not be used for spam, harassment, or any unlawful purpose - For questions, feature requests, or bug reports, please use the issues tab *** ### Notes for AI Agents **What it does:** Scrapes Flippa.com search result pages — listings of online businesses, websites, SaaS, and apps for sale. **Key facts for users:** - **Input:** A Flippa search URL + optional filters (status, propertyType, saleMethod, maxItems, delay, useProxy). All fields optional. - **Output:** Structured JSON per listing — title, price, revenue, profit, status, saleMethod, propertyType, description, metrics, etc. - **Filters:** Set via dedicated fields OR by pasting a pre-filtered Flippa URL. Dedicated fields override URL params. - **Pagination:** Automatic — scrapes all pages until maxItems or no more results. - **Blocking:** If Cloudflare blocks occur, enable `useProxy` (Apify proxy). Increase `delay` if rate-limited. - **Export:** JSON, CSV, Excel, HTML, XML, RSS, ODS from Apify Console or Dataset API. - **Scheduling:** Apify supports recurring runs (daily, weekly, custom). - **Sold listings:** Supported — set status to `won` or `sold`. - **Scope:** Only scrapes data available in Flippa's search HTML. Does not open individual listing pages for extra detail. It's also not necessary. **Limitations to communicate:** - Not affiliated with Flippa. Users must comply with Flippa's ToS. - Only extracts what Flippa includes in the search page - May hit rate limits on large crawls without proxy. **Typical use cases:** Market research, deal sourcing, competitive analysis, portfolio monitoring. # Actor input Schema ## `url` (type: `string`): Flippa search URL to scrape. Defaults to all open listings. ## `status` (type: `string`): Filter by listing status (e.g. open, won, sold). Appended as filter\[status] to the URL. ## `propertyType` (type: `string`): Filter by property type (e.g. website, saas, ios\_app, amazon\_dca). Appended as filter\[property\_type]. ## `saleMethod` (type: `string`): Filter by sale method (auction, classified). Appended as filter\[sale\_method]. ## `maxItems` (type: `integer`): Maximum number of listings to scrape. 0 = all available. ## `delay` (type: `number`): Delay between page requests (be polite to the server). ## `useProxy` (type: `boolean`): Route requests through Apify proxy to avoid IP-based blocking. ## Actor input object example ```json { "url": "https://flippa.com/search?search_template=most_relevant&filter%5Bstatus%5D=open&page%5Bsize%5D=100&filter%5Bproperty_type%5D=saas&filter%5Bsale_method%5D=classified", "maxItems": 0, "delay": 1, "useProxy": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "url": "https://flippa.com/search?search_template=most_relevant&filter%5Bstatus%5D=open&page%5Bsize%5D=100&filter%5Bproperty_type%5D=saas&filter%5Bsale_method%5D=classified", "status": "", "propertyType": "", "saleMethod": "", "maxItems": 0, "delay": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("epicscrapers/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 = { "url": "https://flippa.com/search?search_template=most_relevant&filter%5Bstatus%5D=open&page%5Bsize%5D=100&filter%5Bproperty_type%5D=saas&filter%5Bsale_method%5D=classified", "status": "", "propertyType": "", "saleMethod": "", "maxItems": 0, "delay": 1, } # Run the Actor and wait for it to finish run = client.actor("epicscrapers/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 '{ "url": "https://flippa.com/search?search_template=most_relevant&filter%5Bstatus%5D=open&page%5Bsize%5D=100&filter%5Bproperty_type%5D=saas&filter%5Bsale_method%5D=classified", "status": "", "propertyType": "", "saleMethod": "", "maxItems": 0, "delay": 1 }' | apify call epicscrapers/flippa-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=epicscrapers/flippa-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flippa.com Listings Scraper", "description": "Scrapes listing data from Flippa.com search pages. Supports filters by status, property type, and sale method.", "version": "0.0", "x-build-id": "vVHMYkNpbDxQ4HKev" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/epicscrapers~flippa-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-epicscrapers-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/epicscrapers~flippa-scraper/runs": { "post": { "operationId": "runs-sync-epicscrapers-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/epicscrapers~flippa-scraper/run-sync": { "post": { "operationId": "run-sync-epicscrapers-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": { "url": { "title": "Search URL", "type": "string", "description": "Flippa search URL to scrape. Defaults to all open listings." }, "status": { "title": "Listing Status Filter", "type": "string", "description": "Filter by listing status (e.g. open, won, sold). Appended as filter[status] to the URL." }, "propertyType": { "title": "Property Type Filter", "type": "string", "description": "Filter by property type (e.g. website, saas, ios_app, amazon_dca). Appended as filter[property_type]." }, "saleMethod": { "title": "Sale Method Filter", "type": "string", "description": "Filter by sale method (auction, classified). Appended as filter[sale_method]." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of listings to scrape. 0 = all available.", "default": 0 }, "delay": { "title": "Delay (seconds)", "type": "number", "description": "Delay between page requests (be polite to the server).", "default": 1 }, "useProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify proxy to avoid IP-based blocking.", "default": false } } }, "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 } } } } } } } } } } ```