# GitHub Repo Search — Stars, Language & Topics (`emt_getdataforu/github-repo-search`) Actor Search and scrape GitHub repositories by keyword, language, stars, forks, or topic. Extract structured repo metadata including owner, license, topics, and activity timestamps. Sort by stars, forks, or recently updated. Export to JSON, CSV, or API. No token required. - **URL**: https://apify.com/emt\_getdataforu/github-repo-search.md - **Developed by:** [EMT Crawler](https://apify.com/emt_getdataforu) (community) - **Categories:** Developer tools, SEO tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 mẫu — Free token pool + actor Store Gọi **bất kỳ actor free** trên Apify Store; **token** lấy từ Google Doc (xoay khi hết quota). Form **Input** clone từ actor gốc — **không sửa code** khi đổi actor. Chi tiết nhân bản: **[CLONE.md](./CLONE.md)** ### Nhân bản nhanh ```bash ## 1 lần apify secrets add GOOGLE_SERVICE_ACCOUNT '{"type":"service_account",...}' apify login ## Mỗi actor Store mới — chỉ 1 lệnh (+ apify push) npm run setup -- clockworks~tiktok-comments-scraper apify push ```` Sửa tay tối thiểu: `template.config.json` → `targetActorId`. ### Cách hoạt động ``` Input (form clone từ Store) → Actor proxy → API + token từ Google Doc → Actor Store → Dataset ``` - Token: Google Doc `KEY`, mỗi dòng `apify_api_...` - Hết free: thử dòng tiếp theo - Config: `template.config.json` + secret `GOOGLE_SERVICE_ACCOUNT` ### File quan trọng | File | Khi clone | |------|-----------| | `template.config.json` | Đổi `targetActorId` | | `npm run setup -- user~actor` | Tự cập nhật input schema + actor.json | | `src/*` | **Không sửa** | | Google Doc | Thêm/bớt token (không push) | ### Test local `input.json` — field theo actor vừa `setup` (xem `.actor/input_schema.json`). ```bash set GOOGLE_SERVICE_ACCOUNT={"type":"service_account",...} npm start ``` # Actor input Schema ## `query` (type: `string`): Search query using GitHub syntax. Examples: 'web scraping', 'machine learning language:python', 'topic:nextjs stars:>500' ## `mode` (type: `string`): Pre-configured workflow. Each mode auto-selects enrichments, scoring, and sorting for a specific use case. Leave empty for manual configuration. ## `sortBy` (type: `string`): How to sort results. Overridden by mode if set. ## `minStars` (type: `integer`): Minimum star count (appended to query as stars:>=N) ## `language` (type: `string`): Filter by programming language (e.g., python, rust, typescript) ## `maxResults` (type: `integer`): Maximum repositories to return. With auto-partition enabled, can exceed 1,000. ## `excludeForks` (type: `boolean`): Filter out forked repositories from results ## `excludeArchived` (type: `boolean`): Filter out archived repositories from results ## `autoPartitionResults` (type: `boolean`): When a query matches more than 1,000 repos, automatically split into sub-queries by star ranges to retrieve more. Deduplicates across partitions. ## `compareRepos` (type: `array`): Compare specific repos side-by-side. Enter full names like 'facebook/react'. Skips search and fetches each repo directly. Scores, ranks, and picks a winner. ## `enrichRepoData` (type: `boolean`): Fetch additional data per repo: community profile, activity stats, languages, releases, contributor count. Adds ~3-5 parallel API calls per repo. On by default so every result includes intelligence scores. Turn off for a faster, search-only run (base GitHub fields only). ## `extractContributorEmails` (type: `boolean`): Extract real email addresses from recent commits. Filters out noreply/bot addresses. Auto-enabled by maintainer-outreach and due-diligence modes. ## `compareToPreviousRun` (type: `boolean`): Detect changes since last run: new repos, score changes, newly abandoned repos. Useful for scheduled monitoring. Stores state in a named key-value store. ## `githubToken` (type: `string`): Personal access token. GitHub's Search API allows 30 requests/minute when authenticated, vs 10/minute unauthenticated per IP. Apify's shared cloud IPs are often near the anonymous limit before your run starts. When that happens, anonymous runs retry briefly (up to ~50s) using GitHub's reset-time headers and return a clear error if the quota doesn't free up. Provide a token to skip the rate-limit lottery entirely. Create one at github.com/settings/tokens — no special scopes needed for public repository searches. ## Actor input object example ```json { "query": "web scraping language:python", "sortBy": "stars", "maxResults": 30, "excludeForks": false, "excludeArchived": false, "autoPartitionResults": false, "enrichRepoData": true, "extractContributorEmails": false, "compareToPreviousRun": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "query": "web scraping language:python", "sortBy": "stars", "maxResults": 30, "excludeForks": false, "excludeArchived": false, "autoPartitionResults": false, "enrichRepoData": true, "extractContributorEmails": false, "compareToPreviousRun": false }; // Run the Actor and wait for it to finish const run = await client.actor("emt_getdataforu/github-repo-search").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 = { "query": "web scraping language:python", "sortBy": "stars", "maxResults": 30, "excludeForks": False, "excludeArchived": False, "autoPartitionResults": False, "enrichRepoData": True, "extractContributorEmails": False, "compareToPreviousRun": False, } # Run the Actor and wait for it to finish run = client.actor("emt_getdataforu/github-repo-search").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 '{ "query": "web scraping language:python", "sortBy": "stars", "maxResults": 30, "excludeForks": false, "excludeArchived": false, "autoPartitionResults": false, "enrichRepoData": true, "extractContributorEmails": false, "compareToPreviousRun": false }' | apify call emt_getdataforu/github-repo-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=emt_getdataforu/github-repo-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Repo Search — Stars, Language & Topics", "description": "Search and scrape GitHub repositories by keyword, language, stars, forks, or topic. Extract structured repo metadata including owner, license, topics, and activity timestamps. Sort by stars, forks, or recently updated. Export to JSON, CSV, or API. No token required.", "version": "0.3", "x-build-id": "1FIc3iwI5wyTbFlxj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/emt_getdataforu~github-repo-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-emt_getdataforu-github-repo-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/emt_getdataforu~github-repo-search/runs": { "post": { "operationId": "runs-sync-emt_getdataforu-github-repo-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/emt_getdataforu~github-repo-search/run-sync": { "post": { "operationId": "run-sync-emt_getdataforu-github-repo-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Search query using GitHub syntax. Examples: 'web scraping', 'machine learning language:python', 'topic:nextjs stars:>500'", "default": "web scraping language:python" }, "mode": { "title": "Solution Mode", "enum": [ "market-map", "dependency-audit", "adoption-shortlist", "maintainer-outreach", "trend-watch", "repo-due-diligence" ], "type": "string", "description": "Pre-configured workflow. Each mode auto-selects enrichments, scoring, and sorting for a specific use case. Leave empty for manual configuration." }, "sortBy": { "title": "Sort By", "enum": [ "stars", "forks", "updated", "best-match" ], "type": "string", "description": "How to sort results. Overridden by mode if set.", "default": "stars" }, "minStars": { "title": "Min Stars", "type": "integer", "description": "Minimum star count (appended to query as stars:>=N)" }, "language": { "title": "Language Filter", "type": "string", "description": "Filter by programming language (e.g., python, rust, typescript)" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum repositories to return. With auto-partition enabled, can exceed 1,000.", "default": 30 }, "excludeForks": { "title": "Exclude Forks", "type": "boolean", "description": "Filter out forked repositories from results", "default": false }, "excludeArchived": { "title": "Exclude Archived", "type": "boolean", "description": "Filter out archived repositories from results", "default": false }, "autoPartitionResults": { "title": "Auto-Partition (Break 1,000 Cap)", "type": "boolean", "description": "When a query matches more than 1,000 repos, automatically split into sub-queries by star ranges to retrieve more. Deduplicates across partitions.", "default": false }, "compareRepos": { "title": "Compare Specific Repos", "maxItems": 20, "type": "array", "description": "Compare specific repos side-by-side. Enter full names like 'facebook/react'. Skips search and fetches each repo directly. Scores, ranks, and picks a winner.", "items": { "type": "string" } }, "enrichRepoData": { "title": "Enrich Repo Data", "type": "boolean", "description": "Fetch additional data per repo: community profile, activity stats, languages, releases, contributor count. Adds ~3-5 parallel API calls per repo. On by default so every result includes intelligence scores. Turn off for a faster, search-only run (base GitHub fields only).", "default": true }, "extractContributorEmails": { "title": "Extract Contributor Emails", "type": "boolean", "description": "Extract real email addresses from recent commits. Filters out noreply/bot addresses. Auto-enabled by maintainer-outreach and due-diligence modes.", "default": false }, "compareToPreviousRun": { "title": "Compare to Previous Run", "type": "boolean", "description": "Detect changes since last run: new repos, score changes, newly abandoned repos. Useful for scheduled monitoring. Stores state in a named key-value store.", "default": false }, "githubToken": { "title": "GitHub Token (recommended for reliability)", "type": "string", "description": "Personal access token. GitHub's Search API allows 30 requests/minute when authenticated, vs 10/minute unauthenticated per IP. Apify's shared cloud IPs are often near the anonymous limit before your run starts. When that happens, anonymous runs retry briefly (up to ~50s) using GitHub's reset-time headers and return a clear error if the quota doesn't free up. Provide a token to skip the rate-limit lottery entirely. Create one at github.com/settings/tokens — no special scopes needed for public repository searches." } } }, "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 } } } } } } } } } } ```