# Git Commit Parser Spider (`getdataforme/git-commit-parser-spider`) Actor Powerful Apify Actor for scraping GitHub commit data. Extracts detailed info on authors, messages, timestamps, and OIDs for project analysis. Features robust batch processing, JSON output, error handling, and seamless integration for developers and researchers. - **URL**: https://apify.com/getdataforme/git-commit-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ### Description Powerful Apify Actor for scraping GitHub commit data. Extracts detailed info on authors, messages, timestamps, and OIDs for project analysis. Features robust batch processing, JSON output, error handling, and seamless integration for developers and researchers. --- ## Git Commit Parser Spider ### Introduction The Git Commit Parser Spider is a powerful Apify Actor designed to scrape and extract detailed commit data from GitHub repositories. It efficiently parses commit histories, providing structured information on authors, committers, messages, and timestamps for in-depth analysis. This tool is ideal for developers, researchers, and organizations needing to monitor code contributions and project evolution programmatically. ### Features - **Comprehensive Data Extraction**: Captures full commit details including OIDs, URLs, dates, messages, and author/committer profiles. - **Flexible URL Input**: Supports multiple GitHub commit page URLs for batch processing. - **High Reliability**: Handles GitHub's dynamic content with robust scraping techniques to ensure data accuracy. - **Structured Output**: Delivers clean JSON data, easily integrable with databases or analytics tools. - **Performance Optimized**: Processes commits quickly with minimal resource usage, suitable for large repositories. - **Error Handling**: Includes built-in mechanisms to manage rate limits and network issues gracefully. - **Apify Integration**: Seamlessly runs on the Apify platform with real-time logging and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | An array of GitHub commit page URLs to scrape. Each URL should point to a commits page (e.g., /commits/branch). Minimum 1 URL required. | ["https://github.com/imazen/resizer/commits/develop/"] | ### Example Usage #### Input JSON ```json { "Urls": [ "https://github.com/imazen/resizer/commits/develop/" ] } ```` #### Output JSON ```json [ { "title": "Jun 26, 2025", "oid": "5adf09d270018d95542f3535538f9b653758bf82", "url": "https://github.com/imazen/resizer/commit/5adf09d270018d95542f3535538f9b653758bf82", "committedDate": "2025-06-25T22:59:57.000-06:00", "shortMessage": "For all projects, enable binding redirects", "authors": [ { "login": "lilith", "displayName": "Lilith River", "avatarUrl": "https://avatars.githubusercontent.com/u/107935?v=4", "path": "/lilith", "profileName": "Lilith River", "isGitHub": false } ], "committer": { "login": "lilith", "displayName": "Lilith River", "avatarUrl": "https://avatars.githubusercontent.com/u/107935?v=4", "path": "/lilith", "profileName": "Lilith River", "isGitHub": false }, "actor_id": "Ysu3uukP9uT2lWylM", "run_id": "Ks5vtxGWFYdlheohW" }, { "title": "Jun 26, 2025", "oid": "6fd4171b013ba54ab7695c5092615596c07b6e6a", "url": "https://github.com/imazen/resizer/commit/6fd4171b013ba54ab7695c5092615596c07b6e6a", "committedDate": "2025-06-25T22:59:28.000-06:00", "shortMessage": "Fix duplicate reference to imageflow.net", "authors": [ { "login": "lilith", "displayName": "Lilith River", "avatarUrl": "https://avatars.githubusercontent.com/u/107935?v=4", "path": "/lilith", "profileName": "Lilith River", "isGitHub": false } ], "committer": { "login": "lilith", "displayName": "Lilith River", "avatarUrl": "https://avatars.githubusercontent.com/u/107935?v=4", "path": "/lilith", "profileName": "Lilith River", "isGitHub": false }, "actor_id": "Ysu3uukP9uT2lWylM", "run_id": "Ks5vtxGWFYdlheohW" }, { "title": "Jun 26, 2025", "oid": "40231895ef0463113a61e2114c601667c2a70b47", "url": "https://github.com/imazen/resizer/commit/40231895ef0463113a61e2114c601667c2a70b47", "committedDate": "2025-06-25T22:54:32.000-06:00", "shortMessage": "Fix: License info now shows on diagnostic page, and watermarks happen in both imageflow and regular pipelines.", "authors": [ { "login": "lilith", "displayName": "Lilith River", "avatarUrl": "https://avatars.githubusercontent.com/u/107935?v=4", "path": "/lilith", "profileName": "Lilith River", "isGitHub": false } ], "committer": { "login": "lilith", "displayName": "Lilith River", "avatarUrl": "https://avatars.githubusercontent.com/u/107935?v=4", "path": "/lilith", "profileName": "Lilith River", "isGitHub": false }, "actor_id": "Ysu3uukP9uT2lWylM", "run_id": "Ks5vtxGWFYdlheohW" } ] ``` ### Use Cases - **Project Development Analysis**: Track commit frequency and patterns to assess development velocity in open-source projects. - **Contributor Tracking**: Monitor individual or team contributions over time for performance reviews or credit attribution. - **Code Audit Preparation**: Extract commit histories to identify changes related to security fixes or feature additions. - **Research on Software Evolution**: Analyze commit messages and dates for academic studies on software maintenance trends. - **Automated Reporting**: Generate reports on repository activity for stakeholders or integration into CI/CD pipelines. - **Competitive Intelligence**: Compare commit activity across similar projects to gauge innovation pace. ### Installation and Usage 1. Search for "Git Commit Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs an array of JSON objects, each representing a single commit. Key fields include: - `title`: Human-readable date of the commit. - `oid`: Unique commit hash. - `url`: Direct link to the commit on GitHub. - `committedDate`: ISO 8601 timestamp of the commit. - `shortMessage`: Brief commit message. - `authors`: Array of author objects with login, display name, avatar, etc. - `committer`: Similar to authors, for the committer. - `actor_id` and `run_id`: Internal Apify identifiers for the run. This structured format ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://github.com/imazen/resizer/commits/develop/" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/git-commit-parser-spider").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("getdataforme/git-commit-parser-spider").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 getdataforme/git-commit-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/git-commit-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Git Commit Parser Spider", "description": "Powerful Apify Actor for scraping GitHub commit data. Extracts detailed info on authors, messages, timestamps, and OIDs for project analysis. Features robust batch processing, JSON output, error handling, and seamless integration for developers and researchers.", "version": "0.0", "x-build-id": "GVebIe6pIniaFRJEd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~git-commit-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-git-commit-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~git-commit-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-git-commit-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~git-commit-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-git-commit-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://github.com/imazen/resizer/commits/develop/" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```