# GitHub Intel: Repos, Developer Leads & Stargazer Lists (`obsidian937/github-intel`) Actor Turn GitHub into structured B2B data. Search repositories by language, topic or stars; build developer lead lists by location and language; or export a repo's stargazers and contributors as enriched leads. Official GitHub REST API, no proxy. Delta mode for recurring monitoring. - **URL**: https://apify.com/obsidian937/github-intel.md - **Developed by:** [Obsidian IT Consulting SRL](https://apify.com/obsidian937) (community) - **Categories:** Developer tools, Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## GitHub Intel: Repos, Developer Leads & Stargazer Lists Turn GitHub into structured, B2B-ready data. Three modes in one actor, built on the official GitHub REST API. No proxy, no scraping of HTML, no breakage. Bring your own read-only GitHub token (optional but recommended): it lifts the rate limit from 60 to 5000 requests per hour. No special scopes are needed for public data. ### What it does #### 1. Repositories (intel) Search repositories by language, topic, minimum stars, or creation date. Every result is a clean row: - `fullName`, `owner`, `ownerType`, `description` - `language`, `topics`, `license`, `homepage` - `stars`, `forks`, `watchers`, `openIssues` - `createdAt`, `updatedAt`, `pushedAt`, `url` Use it for competitive intel, ecosystem mapping, or finding fast-growing projects in your space. #### 2. Developer leads (users) Find developers by `location`, `language`, and `minFollowers`. With `enrichProfiles` on, each result is a full lead: - `login`, `name`, `company`, `location` - `email` and `blog` (when public), `twitter` - `bio`, `hireable`, `publicRepos`, `followers` - `url` Ideal for dev recruiting and developer-tooling sales. #### 3. Stargazers / contributors of a repo Export the people behind a repository as enriched leads. Point it at any `repo` (`owner/name`) and choose `leadSource`: stargazers (warm, interested in the space) or contributors. Each lead is enriched with the same profile fields as mode 2, plus `sourceRepo`, `starredAt`, and `contributions` where available. This is the highest-intent lead list on GitHub: the people who starred your competitor already care about the problem you solve. ### Delta / monitor mode Set `deltaMode: true` to only emit items new since the previous run. State is stored per Apify account. - Repos: repositories with new activity (a push) since the last run. - Stargazers: it resumes from where the last run stopped, so the same stargazers are never pulled twice. Pair it with a schedule and a webhook for recurring alerts on active projects or fresh leads. This is recurring usage, not a one-shot scrape. ### Example inputs Fast-growing Rust repositories created this year: ```json { "mode": "repos", "language": "Rust", "minStars": 100, "createdAfter": "2026-01-01", "sort": "stars" } ```` Swift developers in Brussels with a following: ```json { "mode": "users", "language": "Swift", "location": "Brussels", "minFollowers": 50, "enrichProfiles": true } ``` Enriched leads from a competitor's stargazers, only new stars each run: ```json { "mode": "stargazers", "repo": "owner/their-product", "enrichProfiles": true, "deltaMode": true } ``` ### Who uses this - Recruiters and sourcers building structured developer pipelines - Developer-tooling and SaaS teams running competitive and ecosystem intel - Sales teams turning stargazers and contributors into warm leads ### Founder / VC / Sales data suite Part of a B2B data suite. Pair with our other actors for full coverage: - **Hacker News Intel** (Who is hiring jobs, Show HN launches, keyword monitor) - **Y Combinator Companies Scraper** (startups by batch, industry, region) - **IndieHackers Product Scraper** (products, revenue, founders) - **BetaList Startup Scraper** (upcoming launches and makers) ### Notes - Search modes return up to 1000 results (a GitHub API limit). Narrow your query for full coverage of a large space. - The actor respects GitHub rate limits and waits for resets automatically. Providing a token avoids almost all waiting. - Only public data is returned. Email and company appear only when the user has made them public. # Actor input Schema ## `mode` (type: `string`): What to extract: repositories, developer leads, or a repo's stargazers/contributors as leads. ## `githubToken` (type: `string`): A read-only GitHub personal access token. Optional but strongly recommended: lifts the rate limit from 60 to 5000 requests/hour. No scopes needed for public data. ## `searchQuery` (type: `string`): Raw GitHub search query, e.g. "language:rust stars:>1000" (repos) or "location:Berlin language:Go" (users). Overrides the structured filters below. ## `language` (type: `string`): Programming language filter, e.g. "Rust", "Swift", "Go" (repos and users modes). ## `topic` (type: `string`): Repository topic, e.g. "cli", "machine-learning" (repos mode). ## `minStars` (type: `integer`): Only repositories with at least this many stars (repos mode). ## `createdAfter` (type: `string`): Only repositories created on/after this date, e.g. "2026-01-01" (repos mode). ## `location` (type: `string`): Developer location, e.g. "Brussels", "San Francisco" (users mode). ## `minFollowers` (type: `integer`): Only developers with at least this many followers (users mode). ## `userType` (type: `string`): Restrict to individual users or organizations (users mode). ## `repo` (type: `string`): Target repository for stargazers mode, e.g. "sindresorhus/awesome". ## `leadSource` (type: `string`): Whether to read the repo's stargazers or its contributors (stargazers mode). ## `enrichProfiles` (type: `boolean`): Fetch each lead's full profile (name, company, location, email, blog, followers). Costs one request per lead but produces actionable leads (users / stargazers modes). ## `sort` (type: `string`): Sort order for results (repos / users modes). ## `deltaMode` (type: `boolean`): Only emit items new since the previous run (per-account state). Repos: repositories with a new push. Stargazers: resumes where the last run stopped, never pulling the same lead twice. Pair with a schedule + webhook for recurring alerts. ## `maxItems` (type: `integer`): Cap on records to return. Search modes are capped at 1000 by the GitHub API. ## Actor input object example ```json { "mode": "repos", "searchQuery": "", "language": "", "topic": "", "minStars": 0, "createdAfter": "", "location": "", "minFollowers": 0, "userType": "", "repo": "", "leadSource": "stargazers", "enrichProfiles": true, "sort": "stars", "deltaMode": false, "maxItems": 100 } ``` # 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("obsidian937/github-intel").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("obsidian937/github-intel").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 obsidian937/github-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=obsidian937/github-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Intel: Repos, Developer Leads & Stargazer Lists", "description": "Turn GitHub into structured B2B data. Search repositories by language, topic or stars; build developer lead lists by location and language; or export a repo's stargazers and contributors as enriched leads. Official GitHub REST API, no proxy. Delta mode for recurring monitoring.", "version": "1.0", "x-build-id": "B19RpeSD7Y1U5Q5bN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/obsidian937~github-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-obsidian937-github-intel", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/obsidian937~github-intel/runs": { "post": { "operationId": "runs-sync-obsidian937-github-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/obsidian937~github-intel/run-sync": { "post": { "operationId": "run-sync-obsidian937-github-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "repos", "users", "stargazers" ], "type": "string", "description": "What to extract: repositories, developer leads, or a repo's stargazers/contributors as leads.", "default": "repos" }, "githubToken": { "title": "GitHub token (recommended)", "type": "string", "description": "A read-only GitHub personal access token. Optional but strongly recommended: lifts the rate limit from 60 to 5000 requests/hour. No scopes needed for public data." }, "searchQuery": { "title": "Search query (raw)", "type": "string", "description": "Raw GitHub search query, e.g. \"language:rust stars:>1000\" (repos) or \"location:Berlin language:Go\" (users). Overrides the structured filters below.", "default": "" }, "language": { "title": "Language", "type": "string", "description": "Programming language filter, e.g. \"Rust\", \"Swift\", \"Go\" (repos and users modes).", "default": "" }, "topic": { "title": "Topic", "type": "string", "description": "Repository topic, e.g. \"cli\", \"machine-learning\" (repos mode).", "default": "" }, "minStars": { "title": "Minimum stars", "type": "integer", "description": "Only repositories with at least this many stars (repos mode).", "default": 0 }, "createdAfter": { "title": "Created after", "type": "string", "description": "Only repositories created on/after this date, e.g. \"2026-01-01\" (repos mode).", "default": "" }, "location": { "title": "Location", "type": "string", "description": "Developer location, e.g. \"Brussels\", \"San Francisco\" (users mode).", "default": "" }, "minFollowers": { "title": "Minimum followers", "type": "integer", "description": "Only developers with at least this many followers (users mode).", "default": 0 }, "userType": { "title": "User type", "enum": [ "", "user", "org" ], "type": "string", "description": "Restrict to individual users or organizations (users mode).", "default": "" }, "repo": { "title": "Repository (owner/name)", "type": "string", "description": "Target repository for stargazers mode, e.g. \"sindresorhus/awesome\".", "default": "" }, "leadSource": { "title": "Lead source", "enum": [ "stargazers", "contributors" ], "type": "string", "description": "Whether to read the repo's stargazers or its contributors (stargazers mode).", "default": "stargazers" }, "enrichProfiles": { "title": "Enrich profiles", "type": "boolean", "description": "Fetch each lead's full profile (name, company, location, email, blog, followers). Costs one request per lead but produces actionable leads (users / stargazers modes).", "default": true }, "sort": { "title": "Sort by", "enum": [ "stars", "forks", "updated", "followers", "joined" ], "type": "string", "description": "Sort order for results (repos / users modes).", "default": "stars" }, "deltaMode": { "title": "Delta / monitor mode", "type": "boolean", "description": "Only emit items new since the previous run (per-account state). Repos: repositories with a new push. Stargazers: resumes where the last run stopped, never pulling the same lead twice. Pair with a schedule + webhook for recurring alerts.", "default": false }, "maxItems": { "title": "Max items", "type": "integer", "description": "Cap on records to return. Search modes are capped at 1000 by the GitHub API.", "default": 100 } } }, "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 } } } } } } } } } } ```