# Wellfound Scraper (`blackfalcondata/wellfound-scraper`) Actor Scrape wellfound.com — the leading startup job board. Salary ranges with equity, startup-focused role filters, and incremental change tracking. - **URL**: https://apify.com/blackfalcondata/wellfound-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% 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. 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 ### What does Wellfound Scraper do? Wellfound Scraper extracts structured job data from [wellfound.com](https://wellfound.com) — including salary data, contact details, company metadata, full descriptions, remote-work indicators, and location data. It supports location filters and controllable result limits, so you can run the same query consistently over time. The actor also offers incremental monitoring that only returns new or changed results on recurring runs and a compact output mode for AI-agent and MCP workflows. ### What data can you extract from wellfound.com? Each result includes Core listing fields (`id`, `title`, `slug`, `portalUrl`, `compensation`, `salaryMin`, `salaryMax`, and `salaryEquityMin`, and more), detail fields when enrichment is enabled (`detailUrl`, `description`, `primaryRoleTitle`, and `jobBenefits`), contact and apply information (`directApply`), and company metadata (`companyId`, `companySlug`, `companyName`, and `companyLogo`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. ### Input The main inputs are an optional location filter and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`roles`** — Job role slugs to scrape. Defaults to all 12 supported roles. - **`location`** — Filter by location slug, e.g. new-york, san-francisco, los-angeles. - **`remote`** — When true, scrapes the remote-filtered URL (/role/r/{role}). (default: `false`) - **`maxResults`** — Maximum total job listings to return across all roles (0 = unlimited). (default: `100`) - **`maxPages`** — Maximum SERP pages to scrape per role (each page has ~42 jobs). (default: `10`) - **`enrichDetail`** — Fetch each job detail page for structured salary (min/max/currency/period), company website, industry, benefits, and geolocation. (default: `false`) - **`descriptionMaxLength`** — Truncate job description to this many characters. 0 = no truncation. (default: `0`) - **`compact`** — Output only core fields (id, title, companyName, portalUrl, locationNames, remote, compensation, postedAt). For AI-agent/MCP workflows. (default: `false`) - **`incrementalMode`** — Compare against previous run state. Only emits NEW and UPDATED jobs. Requires stateKey. (default: `false`) - **`stateKey`** — Stable identifier for the tracked search universe (e.g. 'us-software-remote'). Required when incrementalMode is true. - **`emitUnchanged`** — When incremental, also emit records that have not changed since last run. (default: `false`) - **`emitExpired`** — When incremental, also emit records no longer found (job removed or expired). (default: `false`) #### Input example ```json { "remote": false, "maxResults": 25, "maxPages": 10, "enrichDetail": false, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": false } ```` ### Output Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. #### Example job record ```json { "id": "3817329", "title": "Data Analyst", "slug": "data-analyst", "portalUrl": "https://wellfound.com/jobs/3817329-data-analyst", "detailUrl": "https://wellfound.com/jobs/3817329-data-analyst", "compensation": "$110k – $134k", "salaryMin": 110000, "salaryMax": 134000, "salaryEquityMin": null, "salaryEquityMax": null, "description": " \n\n#### **About You and The Role** \n\nZipline is on a mission to transform how goods move by making autonomous drone delivery the fastest, most reliable, and most delightful logistics system in the worl...", "jobType": "full-time", "postedAt": "2026-03-23T21:17:38.000Z", "locationNames": [ "South San Francisco" ], "remote": false, "remoteKind": null, "wfhFlexible": false, "acceptedRemoteLocations": [], "yearsExperienceMin": null, "yearsExperienceMax": null, "atsSource": "AtsIntegration::Greenhouse::Listing", "autoPosted": false, "primaryRoleTitle": "Data Analyst", "companyId": "3100353", "companySlug": "zipline-international-1", "companyName": "Zipline", "companyLogo": "https://photos.wellfound.com/startups/i/3100353-b9dc0f9a070af26296fbaf58f37d624f-medium_jpg.jpg?buster=1680554415", "companyTagline": "Our mission is to create the global logistics system that serves all humans equally", "companySize": "SIZE_501_1000", "salaryCurrency": null, "salaryPeriod": null, "companyWebsite": null, "industry": null, "directApply": null, "datePosted": null, "jobBenefits": null, "jobAddressLocality": null, "jobAddressRegion": null, "jobAddressCountry": null, "latitude": null, "longitude": null, "changeType": null, "trackedHash": null, "firstSeenAt": null, "lastSeenAt": null, "previousSeenAt": null, "expiredAt": null, "stateKey": null, "source": "wellfound", "scrapedAt": "2026-04-03T09:42:02.193Z" } ``` ### How to scrape wellfound.com 1. Go to [Wellfound Scraper](https://apify.com/blackfalcondata/wellfound-scraper) in Apify Console. 2. Configure the input and optional location filter. 3. Set `maxResults` to control how many results you need. 4. Click **Start** and wait for the run to finish. 5. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract job data from wellfound.com for market research and competitive analysis. - Track salary trends across regions and categories over time. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Build outreach lists using contact details and apply URLs from listings. - Research company hiring patterns, employer profiles, and industry distribution. - Use structured location data for regional analysis, mapping, and geo-targeting. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. ### How much does it cost to scrape wellfound.com? Wellfound Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.005 per run - **Per result:** $0.001 per job record Example costs: - 10 results: **$0.01** - 100 results: **$0.11** - 500 results: **$0.51** Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient. ### FAQ #### How many results can I get from wellfound.com? The number of results depends on the search query and available listings on wellfound.com. Use the `maxResults` parameter to control how many results are returned per run. #### Does Wellfound Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate Wellfound Scraper with other apps? Yes. Wellfound Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use Wellfound Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use Wellfound Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows. #### Is it legal to scrape wellfound.com? This actor extracts publicly available data from wellfound.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/wellfound-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper) — Scrape adzuna.com — the global job board with 20+ country markets. Structured salary. - [Arbeitsagentur Scraper](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de — Germany's official employment portal with 1M+ listings. Contact data,. - [Bayt.com Scraper — Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper) — Scrape bayt.com — the leading Middle East job board. Salary data, experience requirements. - [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper) — Scrape cadremploi.fr — French management and executive jobs. Salary ranges, apply links. - [Dice.com Job Scraper](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape dice.com — the leading U.S. tech job board. Structured salary (min/max/currency),. - [Drushim Scraper - Israel Job Listings from drushim.co.il](https://apify.com/blackfalcondata/drushim-scraper) — Scrape drushim.co.il — Israel's leading job board. Salary data, geo-coordinates, and multi-filter. - [Duunitori Scraper](https://apify.com/blackfalcondata/duunitori-scraper) — Scrape duunitori.fi — Finland's largest job board with 22,000+ listings. Salary ranges, employment. - [France Travail Jobs Scraper](https://apify.com/blackfalcondata/francetravail-scraper) — Scrape francetravail.fr — France's official national job board. Salary ranges, skills, and contact. # Actor input Schema ## `roles` (type: `array`): Job role slugs to scrape. Defaults to all 12 supported roles. ## `location` (type: `string`): Filter by location slug, e.g. new-york, san-francisco, los-angeles. ## `remote` (type: `boolean`): When true, scrapes the remote-filtered URL (/role/r/{role}). ## `maxResults` (type: `integer`): Maximum total job listings to return across all roles (0 = unlimited). ## `maxPages` (type: `integer`): Maximum SERP pages to scrape per role (each page has ~42 jobs). ## `enrichDetail` (type: `boolean`): Fetch each job detail page for structured salary (min/max/currency/period), company website, industry, benefits, and geolocation. ## `descriptionMaxLength` (type: `integer`): Truncate job description to this many characters. 0 = no truncation. ## `compact` (type: `boolean`): Output only core fields (id, title, companyName, portalUrl, locationNames, remote, compensation, postedAt). For AI-agent/MCP workflows. ## `incrementalMode` (type: `boolean`): Compare against previous run state. Only emits NEW and UPDATED jobs. Requires stateKey. ## `stateKey` (type: `string`): Stable identifier for the tracked search universe (e.g. 'us-software-remote'). Required when incrementalMode is true. ## `emitUnchanged` (type: `boolean`): When incremental, also emit records that have not changed since last run. ## `emitExpired` (type: `boolean`): When incremental, also emit records no longer found (job removed or expired). ## Actor input object example ```json { "remote": false, "maxResults": 25, "maxPages": 10, "enrichDetail": false, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": 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 = { "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/wellfound-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 = { "maxResults": 25 } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/wellfound-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 '{ "maxResults": 25 }' | apify call blackfalcondata/wellfound-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/wellfound-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wellfound Scraper", "description": "Scrape wellfound.com — the leading startup job board. Salary ranges with equity, startup-focused role filters, and incremental change tracking.", "version": "0.1", "x-build-id": "4COyaYube4PPKKCig" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~wellfound-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-wellfound-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~wellfound-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-wellfound-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~wellfound-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-wellfound-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "roles": { "title": "Roles", "type": "array", "description": "Job role slugs to scrape. Defaults to all 12 supported roles.", "items": { "type": "string", "enum": [ "account-manager", "data-analyst", "financial-analyst", "graphic-designer", "growth-marketer", "hr-manager", "operations-manager", "product-designer", "product-manager", "sales-manager", "software-engineer", "ui-ux-designer" ] } }, "location": { "title": "Location Slug", "type": "string", "description": "Filter by location slug, e.g. new-york, san-francisco, los-angeles." }, "remote": { "title": "Remote Only", "type": "boolean", "description": "When true, scrapes the remote-filtered URL (/role/r/{role}).", "default": false }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Maximum total job listings to return across all roles (0 = unlimited).", "default": 100 }, "maxPages": { "title": "Max Pages per Role", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum SERP pages to scrape per role (each page has ~42 jobs).", "default": 10 }, "enrichDetail": { "title": "Enrich from Detail Pages", "type": "boolean", "description": "Fetch each job detail page for structured salary (min/max/currency/period), company website, industry, benefits, and geolocation.", "default": false }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate job description to this many characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Output only core fields (id, title, companyName, portalUrl, locationNames, remote, compensation, postedAt). For AI-agent/MCP workflows.", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Compare against previous run state. Only emits NEW and UPDATED jobs. Requires stateKey.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Stable identifier for the tracked search universe (e.g. 'us-software-remote'). Required when incrementalMode is true." }, "emitUnchanged": { "title": "Emit Unchanged Records", "type": "boolean", "description": "When incremental, also emit records that have not changed since last run.", "default": false }, "emitExpired": { "title": "Emit Expired Records", "type": "boolean", "description": "When incremental, also emit records no longer found (job removed or expired).", "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 } } } } } } } } } } ```