# Wellfound Jobs Scraper — Salary, Equity & Funding Stage (`bovi/wellfound-jobs-scraper`) Actor Scrape startup job postings from Wellfound (ex-AngelList Talent). Structured salary (min/max/currency), equity flag, company size, funding stage, full description, remote flag, locations. 30-field schema, search by role + location, paginated. - **URL**: https://apify.com/bovi/wellfound-jobs-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Jobs, Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.13 / 1,000 job 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 # Actor input Schema ## `searchKeyword` (type: `array`): Job roles to search for on Wellfound. Each item is one search. Examples: "software engineer", "data scientist", "product designer". Runs one paginated search per role. ## `location` (type: `string`): City or region to search within. Examples: "San Francisco", "New York", "London", "Bangalore". Leave blank to search all locations. ## `remoteOnly` (type: `boolean`): When enabled, searches the role's remote feed and keeps only postings flagged remote. ## `jobType` (type: `string`): Post-fetch filter: keep only jobs whose type contains this text (case-insensitive). Examples: "full-time", "contract", "internship". Leave blank for all. ## `includeDescription` (type: `boolean`): Include the full job description text in each record. The description is already present in the page payload — no extra request — but adds bulk to the output. On by default. ## `maxItems` (type: `integer`): Maximum total jobs to push across all searches. Default 200 keeps trial runs cheap. Set to 0 for unlimited. ## `startUrls` (type: `array`): Exact Wellfound search URLs to scrape as-is (e.g. https://wellfound.com/role/l/data-scientist/new-york). Overrides/augments the role+location search. Each URL scrapes one page. ## `proxyConfiguration` (type: `object`): Apify proxy for any auxiliary requests. The protected target itself is reached via a built-in managed-access service, so the run owner is not charged for residential proxy on the main fetch. ## Actor input object example ```json { "searchKeyword": [ "software engineer" ], "remoteOnly": false, "includeDescription": true, "maxItems": 200, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # Actor output Schema ## `results` (type: `string`): Dataset of Wellfound job records (jobId, title, companyName, salaryMin/Max, equity, companySize, companyStage, remote, locations, postedDate, description, jobUrl). # 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 = { "searchKeyword": [ "software engineer" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/wellfound-jobs-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 = { "searchKeyword": ["software engineer"] } # Run the Actor and wait for it to finish run = client.actor("bovi/wellfound-jobs-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 '{ "searchKeyword": [ "software engineer" ] }' | apify call bovi/wellfound-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/wellfound-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wellfound Jobs Scraper — Salary, Equity & Funding Stage", "description": "Scrape startup job postings from Wellfound (ex-AngelList Talent). Structured salary (min/max/currency), equity flag, company size, funding stage, full description, remote flag, locations. 30-field schema, search by role + location, paginated.", "version": "0.1", "x-build-id": "i8sgvrpB6qI6qLYdR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~wellfound-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-wellfound-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~wellfound-jobs-scraper/runs": { "post": { "operationId": "runs-sync-bovi-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~wellfound-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-wellfound-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchKeyword": { "title": "Search roles", "type": "array", "description": "Job roles to search for on Wellfound. Each item is one search. Examples: \"software engineer\", \"data scientist\", \"product designer\". Runs one paginated search per role.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "City or region to search within. Examples: \"San Francisco\", \"New York\", \"London\", \"Bangalore\". Leave blank to search all locations." }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "When enabled, searches the role's remote feed and keeps only postings flagged remote.", "default": false }, "jobType": { "title": "Job type filter", "type": "string", "description": "Post-fetch filter: keep only jobs whose type contains this text (case-insensitive). Examples: \"full-time\", \"contract\", \"internship\". Leave blank for all." }, "includeDescription": { "title": "Include full job descriptions", "type": "boolean", "description": "Include the full job description text in each record. The description is already present in the page payload — no extra request — but adds bulk to the output. On by default.", "default": true }, "maxItems": { "title": "Max total items", "minimum": 0, "type": "integer", "description": "Maximum total jobs to push across all searches. Default 200 keeps trial runs cheap. Set to 0 for unlimited.", "default": 200 }, "startUrls": { "title": "Start URLs (advanced)", "type": "array", "description": "Exact Wellfound search URLs to scrape as-is (e.g. https://wellfound.com/role/l/data-scientist/new-york). Overrides/augments the role+location search. Each URL scrapes one page.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy for any auxiliary requests. The protected target itself is reached via a built-in managed-access service, so the run owner is not charged for residential proxy on the main fetch.", "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 } } } } } } } } } } ```