# GitHub Repository & Trending Scraper (`rupom888/github-repository-scraper`) Actor Search GitHub repos, scrape user profiles with repos, get repo details with contributors, or track GitHub trending. Uses public API - optional token for higher rate limits. - **URL**: https://apify.com/rupom888/github-repository-scraper.md - **Developed by:** [Syed Rupom](https://apify.com/rupom888) (community) - **Categories:** Lead generation, Agents, Automation - **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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 Repository & Trending Scraper Scrape GitHub repositories, user profiles, organizations, and trending repos. Search by keyword, filter by language and stars, or track what's trending daily/weekly/monthly. Priced at **$0.50 per 1,000 results**. ### What it scrapes - Repository name, description, and topics - Stars, forks, open issues, and watchers - Primary language and language breakdown - License, creation date, and last update - README content - User/org profile: name, bio, follower count, public repo count, company, location - Top contributors (optional) ### Sample output (repository) ```json { "full_name": "openai/whisper", "description": "Robust Speech Recognition via Large-Scale Weak Supervision", "url": "https://github.com/openai/whisper", "stars": 68000, "forks": 7900, "open_issues": 1400, "watchers": 68000, "language": "Python", "topics": ["speech-recognition", "transformer", "whisper"], "license": "MIT", "created_at": "2022-09-16", "updated_at": "2024-01-15", "is_fork": false, "homepage": "https://openai.com", "readme": "## Whisper\n..." } ```` ### Input #### Search repositories ```json { "scrapeType": "search", "queries": ["machine learning python"], "resultsPerQuery": 30, "sort": "stars", "language": "python", "minStars": 1000 } ``` #### User/org profile ```json { "scrapeType": "user", "queries": ["openai", "microsoft", "torvalds"] } ``` #### Trending repos ```json { "scrapeType": "trending", "queries": ["python", "javascript"], "since": "weekly" } ``` #### Single repository ```json { "scrapeType": "repo", "queries": ["openai/whisper", "facebook/react"], "includeContributors": true } ``` ### Input fields | Field | Type | Default | Description | |-------|------|---------|-------------| | `scrapeType` | string | `search` | `search`, `user`, `repo`, `trending` | | `queries` | string\[] | — | Keywords / usernames / `owner/repo` paths / languages | | `resultsPerQuery` | integer | 30 | Max repos per query (up to 1,000) | | `sort` | string | `stars` | `stars`, `forks`, `updated`, `help-wanted-issues`, `best-match` | | `language` | string | — | Filter by programming language | | `minStars` | integer | 0 | Minimum star count filter | | `since` | string | `daily` | Trending timeframe: `daily`, `weekly`, `monthly` | | `includeContributors` | boolean | false | Fetch top 10 contributors per repo | | `githubToken` | string | — | Personal access token for higher rate limits (5,000/hr vs 60/hr) | ### Use cases - Tech landscape research: find top repos in any language or topic - Competitor intelligence: track stars and forks over time - Developer outreach: find contributors to relevant open source projects - Trend monitoring: daily trending to spot emerging tools - Portfolio analysis: bulk profile data for GitHub users ### Notes - Without a token: 60 requests/hour (fine for small runs) - With a GitHub token: 5,000 requests/hour — required for large queries - Trending scrapes GitHub's public trending page (no API needed) - README content available in `repo` mode ### Pricing **$0.50 per 1,000 results** — GitHub public data, no enterprise API needed. # Actor input Schema ## `scrapeType` (type: `string`): What to scrape from GitHub. ## `queries` (type: `array`): Keywords for search; GitHub usernames/orgs for user mode; 'owner/repo' for repo mode; language names for trending (leave empty for all languages). ## `resultsPerQuery` (type: `integer`): Max repositories to return per query/user. ## `sort` (type: `string`): Sort search results by. ## `language` (type: `string`): Filter search results by programming language (e.g. python, javascript, typescript, go, rust). ## `minStars` (type: `integer`): Only return repos with at least this many stars. Set 0 to disable. ## `since` (type: `string`): Time range for trending repositories. ## `includeContributors` (type: `boolean`): For repo mode: fetch top 10 contributors for each repository. ## `githubToken` (type: `string`): Personal access token for higher rate limits (5000 req/hr vs 60/hr unauthenticated). Create at github.com/settings/tokens. ## Actor input object example ```json { "scrapeType": "search", "queries": [ "machine learning python" ], "resultsPerQuery": 30, "sort": "stars", "minStars": 0, "since": "daily", "includeContributors": 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 = { "queries": [ "machine learning python" ] }; // Run the Actor and wait for it to finish const run = await client.actor("rupom888/github-repository-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 = { "queries": ["machine learning python"] } # Run the Actor and wait for it to finish run = client.actor("rupom888/github-repository-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 '{ "queries": [ "machine learning python" ] }' | apify call rupom888/github-repository-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rupom888/github-repository-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Repository & Trending Scraper", "description": "Search GitHub repos, scrape user profiles with repos, get repo details with contributors, or track GitHub trending. Uses public API - optional token for higher rate limits.", "version": "0.1", "x-build-id": "YP9oNm3aefGWKBVzD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rupom888~github-repository-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rupom888-github-repository-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rupom888~github-repository-scraper/runs": { "post": { "operationId": "runs-sync-rupom888-github-repository-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rupom888~github-repository-scraper/run-sync": { "post": { "operationId": "run-sync-rupom888-github-repository-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "scrapeType": { "title": "Scrape Type", "enum": [ "search", "user", "repo", "trending" ], "type": "string", "description": "What to scrape from GitHub.", "default": "search" }, "queries": { "title": "Search Queries / Usernames / Repo Paths / Languages", "type": "array", "description": "Keywords for search; GitHub usernames/orgs for user mode; 'owner/repo' for repo mode; language names for trending (leave empty for all languages).", "items": { "type": "string" } }, "resultsPerQuery": { "title": "Results Per Query", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Max repositories to return per query/user.", "default": 30 }, "sort": { "title": "Sort By (Search only)", "enum": [ "stars", "forks", "updated", "help-wanted-issues", "best-match" ], "type": "string", "description": "Sort search results by.", "default": "stars" }, "language": { "title": "Programming Language Filter", "type": "string", "description": "Filter search results by programming language (e.g. python, javascript, typescript, go, rust)." }, "minStars": { "title": "Minimum Stars", "minimum": 0, "type": "integer", "description": "Only return repos with at least this many stars. Set 0 to disable.", "default": 0 }, "since": { "title": "Trending Since (Trending only)", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Time range for trending repositories.", "default": "daily" }, "includeContributors": { "title": "Include Top Contributors", "type": "boolean", "description": "For repo mode: fetch top 10 contributors for each repository.", "default": false }, "githubToken": { "title": "GitHub Personal Access Token (Optional)", "type": "string", "description": "Personal access token for higher rate limits (5000 req/hr vs 60/hr unauthenticated). Create at github.com/settings/tokens." } } }, "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 } } } } } } } } } } ```