# GitHub Smart Recruiter - Find Potential Employees (`coolinbex/github-talent-finder`) Actor Find active, hireable developers on GitHub filtered by language, topic, and activity — built for recruiters and sourcers. - **URL**: https://apify.com/coolinbex/github-talent-finder.md - **Developed by:** [coolinbex](https://apify.com/coolinbex) (community) - **Categories:** Developer tools, AI, Social media - **Stats:** 2 total users, 0 monthly users, 71.4% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## GitHub Talent Finder Find active, skilled developers on GitHub — filtered by tech stack, project activity, and hiring availability. Built for recruiters and technical sourcers, not just developers. ### Why this is different from a plain GitHub scraper Instead of just listing repositories, this tool finds the **people behind active, popular projects** in the stack you're hiring for — and tells you whether they're open to opportunities. ### What you get, per candidate - Name, username, bio, and GitHub profile link - Public email (when available) - Company (if listed on their profile) - Location - "Available for hire" status - Follower count and public repo count (signal of reputation/experience) - The specific repository they were found through, and how many contributions they've made there ### How to use it 1. **Choose a search type**: by language, by topic, or both combined 2. **Set your filters**: minimum stars (avoids toy projects), how recently the repo was active, and how many contributors to check per repo 3. Optionally filter to only candidates with a public email, an explicit "open to work" flag, or a specific location (e.g. "Germany", "Remote") 4. Run it — results stream into the dataset as they're found ### Example use cases - "Find active Rust contributors with 500+ star projects who are open to work" - "Find React developers contributing to projects tagged 'design-system'" - "Source candidates for a blockchain role from trending Solidity repositories" ### A note on responsible use This tool only surfaces information GitHub users have made public on their own profiles. We recommend using it to identify and research candidates, rather than for automated bulk outreach — always respect platform terms and individual preferences when reaching out. ### Tip: add a GitHub token Without one, GitHub limits you to 60 requests/hour, which caps how much you can scan in one run. A free [GitHub personal access token](https://github.com/settings/tokens) raises this to 5,000/hour — recommended for any serious search. # Actor input Schema ## `searchType` (type: `string`): Choose how to find relevant repositories — by programming language, by topic/keyword, or both combined. ## `language` (type: `string`): e.g. python, javascript, rust, go, typescript ## `topic` (type: `string`): e.g. machine-learning, cli, blockchain, react ## `minStars` (type: `integer`): Only consider repositories with at least this many stars (filters out toy/abandoned projects). ## `activeSince` (type: `string`): Only include repos pushed to on or after this date — ensures candidates are currently active, not historical. ## `maxRepos` (type: `integer`): Maximum number of matching repositories to scan for contributors. Higher values find more candidates but use more GitHub API requests. ## `maxContributorsPerRepo` (type: `integer`): How many top contributors to pull per matching repository. ## `requireEmail` (type: `boolean`): Filters out candidates who haven't made an email address public on their GitHub profile. ## `requireHireable` (type: `boolean`): Filters to developers who have explicitly marked their GitHub profile as open to opportunities. ## `githubToken` (type: `string`): Optional. Without a token you're limited to 60 requests/hour from GitHub. With a free token, you get 5,000/hour — recommended for larger searches. ## `location` (type: `string`): Only include candidates whose GitHub profile location contains this text, e.g. "Germany", "Berlin", "Remote". Matching is case-insensitive and partial ("Germany" also matches "Berlin, Germany"). Leave blank to include all locations. Note: many GitHub users leave this field empty on their profile — enabling this filter will exclude those users entirely. ## Actor input object example ```json { "searchType": "language", "language": "rust", "minStars": 100, "maxRepos": 20, "maxContributorsPerRepo": 10, "requireEmail": false, "requireHireable": false } ```` # 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("coolinbex/github-talent-finder").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("coolinbex/github-talent-finder").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 coolinbex/github-talent-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=coolinbex/github-talent-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Smart Recruiter - Find Potential Employees", "description": "Find active, hireable developers on GitHub filtered by language, topic, and activity — built for recruiters and sourcers.", "version": "0.1", "x-build-id": "7JMWbEBTTj4wetEpD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/coolinbex~github-talent-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-coolinbex-github-talent-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/coolinbex~github-talent-finder/runs": { "post": { "operationId": "runs-sync-coolinbex-github-talent-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/coolinbex~github-talent-finder/run-sync": { "post": { "operationId": "run-sync-coolinbex-github-talent-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchType" ], "properties": { "searchType": { "title": "Search by", "enum": [ "language", "topic", "languageAndTopic" ], "type": "string", "description": "Choose how to find relevant repositories — by programming language, by topic/keyword, or both combined.", "default": "language" }, "language": { "title": "Programming language", "type": "string", "description": "e.g. python, javascript, rust, go, typescript", "default": "rust" }, "topic": { "title": "Topic / keyword", "type": "string", "description": "e.g. machine-learning, cli, blockchain, react" }, "minStars": { "title": "Minimum repo stars", "minimum": 0, "type": "integer", "description": "Only consider repositories with at least this many stars (filters out toy/abandoned projects).", "default": 100 }, "activeSince": { "title": "Repo must have commits since", "type": "string", "description": "Only include repos pushed to on or after this date — ensures candidates are currently active, not historical." }, "maxRepos": { "title": "Max repositories to scan", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of matching repositories to scan for contributors. Higher values find more candidates but use more GitHub API requests.", "default": 20 }, "maxContributorsPerRepo": { "title": "Max contributors per repo", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many top contributors to pull per matching repository.", "default": 10 }, "requireEmail": { "title": "Only include contributors with a public email", "type": "boolean", "description": "Filters out candidates who haven't made an email address public on their GitHub profile.", "default": false }, "requireHireable": { "title": "Only include contributors flagged \"available for hire\"", "type": "boolean", "description": "Filters to developers who have explicitly marked their GitHub profile as open to opportunities.", "default": false }, "githubToken": { "title": "GitHub personal access token (optional)", "type": "string", "description": "Optional. Without a token you're limited to 60 requests/hour from GitHub. With a free token, you get 5,000/hour — recommended for larger searches." }, "location": { "title": "Filter by location (optional)", "type": "string", "description": "Only include candidates whose GitHub profile location contains this text, e.g. \"Germany\", \"Berlin\", \"Remote\". Matching is case-insensitive and partial (\"Germany\" also matches \"Berlin, Germany\"). Leave blank to include all locations. Note: many GitHub users leave this field empty on their profile — enabling this filter will exclude those users entirely." } } }, "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 } } } } } } } } } } ```