# Developer Candidates Scraper — GitHub + Stack Overflow (`cryptosignals/developer-candidates-scraper`) Actor Find GitHub developers for recruitment by language, location, and activity. Returns: name, GitHub profile, skills, recent projects, followers, and contact info. Priced per candidate found — only pay for results. - **URL**: https://apify.com/cryptosignals/developer-candidates-scraper.md - **Developed by:** [Web Data Labs](https://apify.com/cryptosignals) (community) - **Categories:** Jobs - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Developer Candidates Scraper — GitHub + Stack Overflow Find developers who are actively open to new opportunities. Searches GitHub bios for open-to-work signals and enriches each candidate with Stack Overflow data. ### What It Does 1. Searches GitHub for developers with open-to-work bio signals 2. Filters by availability — only returns candidates actively signaling they are open 3. Enriches with Stack Overflow reputation and top tags (~40% match rate) ### Why Multi-Source? GitHub shows what someone builds. Stack Overflow shows what they know deeply. A candidate with high Stack Overflow reputation in your target technology is a stronger signal than a bio claim alone. ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `keywords` | String | Technology to search for (python, react, golang, etc.) | python | | `location` | String | City, country, or region filter | | | `language` | String | Programming language filter | | | `maxResults` | Number | Maximum candidates to return | 25 | ### Output Format Each result includes: username, name, bio, location, hireable flag, followers, public repos, GitHub URL, and Stack Overflow data (reputation + top tags when available). ### Use Cases - **Recruiting** — Find engineers actively looking, filtered by tech and location - **Talent analytics** — Track developer availability in specific technology markets - **VC research** — Find technical founders with domain expertise between projects - **Bootcamp operators** — Identify developers open to upskilling ### Notes Only developers with open-to-work signals are returned (hireable flag OR bio keywords). Stack Overflow enrichment has ~40% match rate. --- Part of the [Web Data Labs](https://apify.com/cryptosignals) collection. # Actor input Schema ## `keywords` (type: `string`): Keywords to search in GitHub bios. Default finds open to work signals. Alias: query ## `location` (type: `string`): Filter by city or country. ## `language` (type: `string`): Filter by primary programming language. ## `maxCandidates` (type: `integer`): Maximum number of candidate profiles to return (1-500). Alias: maxResults ## `githubToken` (type: `string`): GitHub PAT for higher rate limits. ## `enrichStackOverflow` (type: `boolean`): Cross-reference candidates with Stack Overflow. ## `query` (type: `string`): Alias for keywords. ## `maxResults` (type: `integer`): Alias for maxCandidates. ## Actor input object example ```json { "keywords": "open to work", "location": "", "language": "", "maxCandidates": 25, "enrichStackOverflow": true } ```` # Actor output Schema ## `username` (type: `string`): GitHub username ## `login` (type: `string`): GitHub login handle ## `name` (type: `string`): Full name ## `bio` (type: `string`): Profile bio ## `location` (type: `string`): City or country ## `email` (type: `string`): Public email ## `githubUrl` (type: `string`): GitHub profile link ## `topLanguages` (type: `string`): Programming languages from repos ## `followers` (type: `string`): Follower count ## `hireable` (type: `string`): Hireable flag ## `topRepos` (type: `string`): Top 3 repos by stars ## `stackOverflow` (type: `string`): SO enrichment data # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("cryptosignals/developer-candidates-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 = {} # Run the Actor and wait for it to finish run = client.actor("cryptosignals/developer-candidates-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 '{}' | apify call cryptosignals/developer-candidates-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cryptosignals/developer-candidates-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Developer Candidates Scraper — GitHub + Stack Overflow", "description": "Find GitHub developers for recruitment by language, location, and activity. Returns: name, GitHub profile, skills, recent projects, followers, and contact info. Priced per candidate found — only pay for results.", "version": "0.1", "x-build-id": "adBJZK2KbwO2ph9Rv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cryptosignals~developer-candidates-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cryptosignals-developer-candidates-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/cryptosignals~developer-candidates-scraper/runs": { "post": { "operationId": "runs-sync-cryptosignals-developer-candidates-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/cryptosignals~developer-candidates-scraper/run-sync": { "post": { "operationId": "run-sync-cryptosignals-developer-candidates-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": { "keywords": { "title": "Search Keywords", "type": "string", "description": "Keywords to search in GitHub bios. Default finds open to work signals. Alias: query", "default": "open to work" }, "location": { "title": "Location Filter", "type": "string", "description": "Filter by city or country.", "default": "" }, "language": { "title": "Programming Language Filter", "type": "string", "description": "Filter by primary programming language.", "default": "" }, "maxCandidates": { "title": "Max Candidates", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of candidate profiles to return (1-500). Alias: maxResults", "default": 25 }, "githubToken": { "title": "GitHub Personal Access Token (Optional)", "type": "string", "description": "GitHub PAT for higher rate limits." }, "enrichStackOverflow": { "title": "Enrich with Stack Overflow", "type": "boolean", "description": "Cross-reference candidates with Stack Overflow.", "default": true }, "query": { "title": "Search Query (alias)", "type": "string", "description": "Alias for keywords." }, "maxResults": { "title": "Max Results (alias)", "minimum": 1, "maximum": 500, "type": "integer", "description": "Alias for maxCandidates." } } }, "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 } } } } } } } } } } ```