{ "openapi": "3.0.1", "info": { "title": "GitHub AI/ML Trending Scraper", "description": "Scrape trending GitHub repositories filtered to AI/ML projects, with real star gains per period (today/week/month).", "version": "0.1", "x-build-id": "2hvaEPsD0uy7FVf8O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/serge_esteves-ai~github-ai-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-serge_esteves-ai-github-ai-trending-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/serge_esteves-ai~github-ai-trending-scraper/runs": { "post": { "operationId": "runs-sync-serge_esteves-ai-github-ai-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/serge_esteves-ai~github-ai-trending-scraper/run-sync": { "post": { "operationId": "run-sync-serge_esteves-ai-github-ai-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "since": { "title": "Time range", "enum": [ "daily", "weekly", "monthly" ], "type": "string", "description": "Trending period, exactly like the tabs on github.com/trending.", "default": "daily" }, "languages": { "title": "Programming languages", "type": "array", "description": "GitHub trending language slugs to scrape (e.g. `python`, `jupyter-notebook`, `typescript`, `rust`, `c++`). Each becomes one page github.com/trending/, and GitHub returns ~25 repos per page — so listing several languages returns more candidates. Leave empty to scrape the single all-languages trending page.", "default": [ "python", "jupyter-notebook" ], "items": { "type": "string" } }, "aiOnly": { "title": "AI/ML repositories only", "type": "boolean", "description": "When enabled, keep only repositories related to AI, machine learning, LLMs, deep learning, agents, etc. Classification uses a built-in dictionary of GitHub topic tags AND name/description keywords (a repo matches if either hits). Turn off to return every trending repo. To filter by your own criteria instead, use the two fields below.", "default": true }, "filterTopics": { "title": "Filter by topics", "type": "array", "description": "Keep only repos that have at least one of these GitHub topic tags (OR match). Examples: `mcp`, `rag`, `computer-vision`, `web-scraping`, `devops`, `game-engine`. Requires topic data, so enabling this fetches topics from the GitHub API. Leave empty to skip topic filtering. Combined with the other filters using AND.", "default": [], "items": { "type": "string" } }, "filterKeywords": { "title": "Filter by keywords", "type": "array", "description": "Keep only repos whose NAME or DESCRIPTION contains at least one of these words (OR match, whole-word, case-insensitive). Examples: `langchain`, `diffusion`, `agent`, `scraper`, `kubernetes`. Leave empty to skip keyword filtering. Combined with the other filters using AND.", "default": [], "items": { "type": "string" } }, "includeMetadata": { "title": "Enrich with GitHub API metadata", "type": "boolean", "description": "Fetch extra fields per repo from the GitHub API (topics, license, homepage, open issues, created/pushed dates, watchers). Automatically enabled when the AI/ML filter or topic filtering is used.", "default": false }, "maxRepos": { "title": "Max repositories", "minimum": 0, "type": "integer", "description": "Maximum number of repositories to output after filtering (0 = no limit). Results are sorted by star gain in the selected period, descending.", "default": 100 }, "githubToken": { "title": "GitHub token (optional)", "type": "string", "description": "Optional personal access token (read-only / public scope is enough). Only used to raise the GitHub API rate limit from 60 to 5000 requests/hour for metadata and topic enrichment. Never stored in the code — provided per run and treated as a secret." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy used to fetch the github.com/trending pages.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } }