# Git Commit Authors & Emails (`njoylab/git-commit-authors-emails`) Actor Extract commit emails from one or more Git repositories and aggregate commit counts per email. Process multiple repos in one run, detect no-reply addresses, map author aliases, and publish both dataset rows and a structured OUTPUT record for fast analysis, exports, and automation workflows at scale - **URL**: https://apify.com/njoylab/git-commit-authors-emails.md - **Developed by:** [njoylab](https://apify.com/njoylab) (community) - **Categories:** Developer tools, Automation, Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 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. 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 ## Git Commit Emails Extractor (Apify Actor) Extract commit emails from one or more Git repositories and aggregate commit counts per email. ### What this actor does - Accepts multiple repositories as input. - Supports: - GitHub URL (`https://github.com/owner/repo`) - Git URL (`git@github.com:owner/repo.git`) - GitHub shorthand (`owner/repo`) - Reads commit history from `HEAD`. - Outputs: - Dataset rows with commit-email aggregates (one row per email, no `type` field) - Repository summaries in key-value store under `OUTPUT` ### Input ```json { "repositories": [ "https://github.com//" ], "excludeNoReply": true, "normalizeEmails": true, "includeAuthorAliases": true } ```` ### Input fields - `repositories` (required): list of repositories to process. - `excludeNoReply` (optional, default `false`): exclude `*@users.noreply.github.com` and `*@noreply.*`. - `normalizeEmails` (optional, default `true`): lowercase emails before grouping. - `includeAuthorAliases` (optional, default `true`): include all author names seen for each email. - `branch` (optional): branch name used when cloning remote repositories. If the branch does not exist in a repository, the actor automatically falls back to that repository's default branch. ### Output examples #### Dataset email item ```json { "repositoryInput": "apify/crawlee", "repositoryName": "apify/crawlee", "resolvedRepository": "https://github.com/apify/crawlee", "email": "[EMAIL_ADDRESS]", "commitCount": 123, "isNoReply": false, "authorName": "", "authorAliases": [ "" ] } ``` #### OUTPUT (key-value store) summary ```json { "startedAt": "2026-02-12T00:00:00.000Z", "finishedAt": "2026-02-12T00:00:15.000Z", "settings": { "excludeNoReply": true, "normalizeEmails": true, "includeAuthorAliases": true, "branch": null }, "repositorySummaries": [ { "repositoryInput": "https://github.com/apify/crawlee", "repositoryName": "apify/crawlee", "resolvedRepository": "https://github.com/apify/crawlee.git", "totalCommitsInHead": 9339, "totalCommitRowsRead": 9339, "totalCommitsAfterFilters": 9339, "uniqueEmails": 450, "durationMs": 1450, "success": true } ] } ``` ### Notes - If contributors use masked emails (for example GitHub `noreply`), the actor cannot infer private real emails. - Large repositories can produce large datasets. ### Disclaimer This actor extracts commit metadata that may include personal email addresses. Its purpose is to raise awareness about how data such as email addresses can be exposed in Git repositories. Use the output only for legitimate and compliant purposes, and always follow applicable privacy laws, platform terms, and anti-spam rules. You are responsible for how extracted data is stored, shared, and used. # Actor input Schema ## `repositories` (type: `array`): Git repositories to analyze. Supports GitHub URLs, git URLs, local paths, and owner/repo shorthand. ## `excludeNoReply` (type: `boolean`): Exclude masked emails such as \*@users.noreply.github.com and *@noreply.* ## `normalizeEmails` (type: `boolean`): When enabled, email addresses are case-normalized before grouping. ## `includeAuthorAliases` (type: `boolean`): Include all author names seen for each email in the dataset output. ## `branch` (type: `string`): Optional branch to clone for remote repositories. If omitted, the remote default branch is used. ## Actor input object example ```json { "repositories": [ "https://github.com/apify/crawlee" ], "excludeNoReply": false, "normalizeEmails": true, "includeAuthorAliases": true } ``` # Actor output Schema ## `datasetItems` (type: `string`): Commit-email aggregated rows (one row per email per repository). ## `structuredOutput` (type: `string`): Repository-level processing summaries saved in key-value store under key OUTPUT. # 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 = { "repositories": [ "https://github.com/apify/crawlee" ] }; // Run the Actor and wait for it to finish const run = await client.actor("njoylab/git-commit-authors-emails").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 = { "repositories": ["https://github.com/apify/crawlee"] } # Run the Actor and wait for it to finish run = client.actor("njoylab/git-commit-authors-emails").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 '{ "repositories": [ "https://github.com/apify/crawlee" ] }' | apify call njoylab/git-commit-authors-emails --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=njoylab/git-commit-authors-emails", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Git Commit Authors & Emails", "description": "Extract commit emails from one or more Git repositories and aggregate commit counts per email. Process multiple repos in one run, detect no-reply addresses, map author aliases, and publish both dataset rows and a structured OUTPUT record for fast analysis, exports, and automation workflows at scale", "version": "0.0", "x-build-id": "GZBI5wwm7SNGLjwOj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/njoylab~git-commit-authors-emails/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-njoylab-git-commit-authors-emails", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/njoylab~git-commit-authors-emails/runs": { "post": { "operationId": "runs-sync-njoylab-git-commit-authors-emails", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/njoylab~git-commit-authors-emails/run-sync": { "post": { "operationId": "run-sync-njoylab-git-commit-authors-emails", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "repositories" ], "properties": { "repositories": { "title": "Repositories", "type": "array", "description": "Git repositories to analyze. Supports GitHub URLs, git URLs, local paths, and owner/repo shorthand.", "items": { "type": "string" } }, "excludeNoReply": { "title": "Exclude no-reply emails", "type": "boolean", "description": "Exclude masked emails such as *@users.noreply.github.com and *@noreply.*", "default": false }, "normalizeEmails": { "title": "Normalize emails to lowercase", "type": "boolean", "description": "When enabled, email addresses are case-normalized before grouping.", "default": true }, "includeAuthorAliases": { "title": "Include author aliases", "type": "boolean", "description": "Include all author names seen for each email in the dataset output.", "default": true }, "branch": { "title": "Branch", "type": "string", "description": "Optional branch to clone for remote repositories. If omitted, the remote default branch is used." } } }, "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 } } } } } } } } } } ```