# GitHub AI Repositories Enricher (`viniman27/github-ai-repos-enricher`) Actor Find and score public GitHub AI repositories for market research, lead discovery, and technical scouting using the public GitHub Search API. - **URL**: https://apify.com/viniman27/github-ai-repos-enricher.md - **Developed by:** [Vinicius Assumpรงรฃo de Araujo](https://apify.com/viniman27) (community) - **Categories:** Developer tools, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## GitHub AI Repositories Enricher Find and score public GitHub AI repositories for market research, lead discovery, competitive intelligence, and technical scouting. This Actor is designed to stay cheap: it uses GitHub's public Search API over HTTP. No browser. No proxy. No login required for small runs. ### What it returns Each dataset item includes: - repository name and URL - owner and owner URL - stars, forks, issues, language, license - GitHub topics - AI categories: `agent`, `llm`, `rag`, `evaluation`, `inference`, `automation`, `vision` - opportunity score from 0โ€“100 - concise commercial summary ### Use cases - Track fast-growing AI open-source projects. - Build lead lists around AI tooling maintainers. - Monitor competitor ecosystems. - Feed weekly market intelligence reports. - Discover projects to sponsor, integrate, or acquire. ### Free-tier friendly defaults Default runs request 25 repositories and use one GitHub API call. For unauthenticated use, keep runs small. If you need higher rate limits, pass `GITHUB_TOKEN` as an Apify secret/environment variable rather than hard-coding it. ### Example input ```json { "query": "topic:artificial-intelligence", "minStars": 100, "pushedSinceDays": 90, "language": "Python", "maxResults": 10, "sort": "stars", "order": "desc" } ```` ### Cost profile HTTP-only. One GitHub Search API request per run in the current MVP. No proxy. No browser. Low memory footprint. # Actor input Schema ## `query` (type: `string`): GitHub repository search query. Keep it public and unauthenticated-friendly. ## `minStars` (type: `integer`): Adds stars:>=N to the query. ## `pushedSinceDays` (type: `integer`): Only repositories pushed within this many days. ## `language` (type: `string`): Optional GitHub language qualifier, e.g. Python, TypeScript, Go. ## `maxResults` (type: `integer`): Keep small for free-tier friendly runs. Unauthenticated GitHub API is rate-limited. ## `sort` (type: `string`): GitHub search sort. ## `order` (type: `string`): Sort order. ## `githubToken` (type: `string`): Optional token for higher rate limits. Stored as Actor input only if you provide it; prefer Apify secrets/env vars. ## Actor input object example ```json { "query": "topic:artificial-intelligence", "minStars": 50, "pushedSinceDays": 60, "maxResults": 25, "sort": "stars", "order": "desc" } ``` # Actor output Schema ## `results` (type: `string`): Dataset rows containing scored GitHub AI repositories. ## `summary` (type: `string`): Summary JSON stored in the default key-value store under SUMMARY. # 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("viniman27/github-ai-repos-enricher").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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("viniman27/github-ai-repos-enricher").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call viniman27/github-ai-repos-enricher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=viniman27/github-ai-repos-enricher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub AI Repositories Enricher", "description": "Find and score public GitHub AI repositories for market research, lead discovery, and technical scouting using the public GitHub Search API.", "version": "0.1", "x-build-id": "NBgettFn0bbrENb2E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/viniman27~github-ai-repos-enricher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-viniman27-github-ai-repos-enricher", "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/viniman27~github-ai-repos-enricher/runs": { "post": { "operationId": "runs-sync-viniman27-github-ai-repos-enricher", "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/viniman27~github-ai-repos-enricher/run-sync": { "post": { "operationId": "run-sync-viniman27-github-ai-repos-enricher", "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": "GitHub search query", "type": "string", "description": "GitHub repository search query. Keep it public and unauthenticated-friendly.", "default": "topic:artificial-intelligence" }, "minStars": { "title": "Minimum stars", "minimum": 0, "type": "integer", "description": "Adds stars:>=N to the query.", "default": 50 }, "pushedSinceDays": { "title": "Pushed within days", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Only repositories pushed within this many days.", "default": 60 }, "language": { "title": "Language", "type": "string", "description": "Optional GitHub language qualifier, e.g. Python, TypeScript, Go." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Keep small for free-tier friendly runs. Unauthenticated GitHub API is rate-limited.", "default": 25 }, "sort": { "title": "Sort", "enum": [ "stars", "forks", "updated" ], "type": "string", "description": "GitHub search sort.", "default": "stars" }, "order": { "title": "Order", "enum": [ "desc", "asc" ], "type": "string", "description": "Sort order.", "default": "desc" }, "githubToken": { "title": "GitHub token optional", "type": "string", "description": "Optional token for higher rate limits. Stored as Actor input only if you provide it; prefer Apify secrets/env vars." } } }, "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 } } } } } } } } } } ```