# GitHub Repo Weekly Summary (Claude) (`tjgarcia0427/repo-weekly-summary`) Actor Pulls the last N days of commits, merged PRs, and closed issues from a GitHub repo and generates a structured Markdown summary. Bilingual (English/French). Optional auto-post to Slack or Discord. Powered by Anthropic Claude with prompt caching. - **URL**: https://apify.com/tjgarcia0427/repo-weekly-summary.md - **Developed by:** [Tristan Garcia](https://apify.com/tjgarcia0427) (community) - **Categories:** AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $200.00 / 1,000 summary completeds 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 ## GitHub Repo Weekly Summary Generates a Markdown narrative summary of any GitHub repo's last N days of activity — commits, merged PRs, closed issues — bilingual (English / French). Optionally posts the summary to Slack or Discord via webhook. Powered by Anthropic Claude with prompt caching. ### What it does 1. Takes a repo name (`owner/name`) and a lookback window 2. Pulls the last N days of commits, closed issues, and merged PRs from GitHub's REST API 3. Deduplicates merge commits, drops PRs from the `/issues` endpoint, filters to the exact time window 4. Hands the cleaned data to Claude for a narrative summary with 4 sections (Overview, Highlights, By the numbers, What to watch) 5. Pushes the structured record to the default dataset 6. (Optional) Posts the rendered Markdown to a Slack or Discord webhook ### Input ```jsonc { "repo": "pallets/click", // required, owner/name "days": 7, // 1-90 "language": "en", // en | fr "anthropicApiKey": "sk-ant-...", // optional; falls back to heuristic if absent "model": "claude-sonnet-4-20250514", "githubToken": "ghp_...", // optional; raises rate limits, enables private repos "destination": "dataset", // dataset | slack | discord "slackWebhookUrl": "https://hooks.slack.com/...", // required if destination=slack "discordWebhookUrl": "https://discord.com/..." // required if destination=discord } ```` ### Output Dataset record: ```json { "repo": "pallets/click", "since": "2026-05-04T22:50:00+00:00", "until": "2026-05-11T22:50:00+00:00", "language": "en", "mode": "llm", "counts": {"commits": 18, "merged_prs": 7, "closed_issues": 3}, "markdown": "**Weekly summary — pallets/click**\n_Week of 2026-05-04 to 2026-05-11_\n\n### Overview\n…" } ``` ### Typical use cases - **Engineering manager weekly digest** — schedule the Actor every Friday at 5pm, destination=slack, watch your team's progress land in the channel automatically. - **OSS maintainer release notes** — run on demand for any tag-to-tag window, paste the Markdown into a release. - **Investor / stakeholder update** — bilingual (FR) is useful for European stakeholders. - **Personal accountability** — run on your own repo every week to see what you actually shipped. ### Pricing Pay-Per-Event: charged once per completed summary, regardless of how many commits/issues/PRs are summarized. Specifics on the Actor's Store page. (Developer note: SDK fires `Actor.charge('summary-completed')` once per run. Configure the unit price in Console → Actor → Publication → Pricing.) ### What about the n8n version? There's also an open-source n8n workflow with the same logic, available at `github.com/claude-builders-bounty/claude-builders-bounty/pull/799`. This Apify Actor is for users who don't want to run n8n themselves — zero infrastructure, just click Run. ### Scheduling In the Apify Console, open this Actor → **Schedules tab** → **Create new schedule**. Set a cron expression (`0 17 * * 5` = Fridays at 5pm) and the same input you'd use for an on-demand run. Apify runs it on their compute, you pay only the Pay-Per-Event charge per run. # Actor input Schema ## `repo` (type: `string`): The repo to summarize, e.g. pallets/click. Public repos work without a token. ## `days` (type: `integer`): How many days back to scan. 7 is the typical weekly cadence. ## `language` (type: `string`): Language for the rendered summary. en = English, fr = French. ## `anthropicApiKey` (type: `string`): Required for the LLM-narrative summary. Leave blank to fall back to a deterministic heuristic summary (no API cost). ## `model` (type: `string`): Anthropic model ID to use when an API key is set. Only consulted in LLM/hybrid modes. ## `githubToken` (type: `string`): Optional PAT for higher rate limits or private repos. Public repos work without one. ## `destination` (type: `string`): dataset = just push to Apify dataset (default). slack/discord = also POST to the configured webhook. ## `slackWebhookUrl` (type: `string`): Required if destination=slack. ## `discordWebhookUrl` (type: `string`): Required if destination=discord. Discord truncates messages over 2000 chars; the Actor handles that for you. ## Actor input object example ```json { "repo": "pallets/click", "days": 7, "language": "en", "model": "claude-sonnet-4-20250514", "destination": "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 = { "repo": "pallets/click" }; // Run the Actor and wait for it to finish const run = await client.actor("tjgarcia0427/repo-weekly-summary").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 = { "repo": "pallets/click" } # Run the Actor and wait for it to finish run = client.actor("tjgarcia0427/repo-weekly-summary").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 '{ "repo": "pallets/click" }' | apify call tjgarcia0427/repo-weekly-summary --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tjgarcia0427/repo-weekly-summary", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Repo Weekly Summary (Claude)", "description": "Pulls the last N days of commits, merged PRs, and closed issues from a GitHub repo and generates a structured Markdown summary. Bilingual (English/French). Optional auto-post to Slack or Discord. Powered by Anthropic Claude with prompt caching.", "version": "0.1", "x-build-id": "MGUxTEqAxAb3fImtK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tjgarcia0427~repo-weekly-summary/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tjgarcia0427-repo-weekly-summary", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tjgarcia0427~repo-weekly-summary/runs": { "post": { "operationId": "runs-sync-tjgarcia0427-repo-weekly-summary", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tjgarcia0427~repo-weekly-summary/run-sync": { "post": { "operationId": "run-sync-tjgarcia0427-repo-weekly-summary", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "repo" ], "properties": { "repo": { "title": "GitHub repo (owner/name)", "pattern": "^[^/]+/[^/]+$", "type": "string", "description": "The repo to summarize, e.g. pallets/click. Public repos work without a token." }, "days": { "title": "Lookback window (days)", "minimum": 1, "maximum": 90, "type": "integer", "description": "How many days back to scan. 7 is the typical weekly cadence.", "default": 7 }, "language": { "title": "Output language", "enum": [ "en", "fr" ], "type": "string", "description": "Language for the rendered summary. en = English, fr = French.", "default": "en" }, "anthropicApiKey": { "title": "Anthropic API key (optional)", "type": "string", "description": "Required for the LLM-narrative summary. Leave blank to fall back to a deterministic heuristic summary (no API cost)." }, "model": { "title": "Claude model", "enum": [ "claude-sonnet-4-20250514", "claude-opus-4-20250514", "claude-haiku-4-5-20251001" ], "type": "string", "description": "Anthropic model ID to use when an API key is set. Only consulted in LLM/hybrid modes.", "default": "claude-sonnet-4-20250514" }, "githubToken": { "title": "GitHub token (optional)", "type": "string", "description": "Optional PAT for higher rate limits or private repos. Public repos work without one." }, "destination": { "title": "Where to deliver the summary", "enum": [ "dataset", "slack", "discord" ], "type": "string", "description": "dataset = just push to Apify dataset (default). slack/discord = also POST to the configured webhook.", "default": "dataset" }, "slackWebhookUrl": { "title": "Slack webhook URL (optional)", "type": "string", "description": "Required if destination=slack." }, "discordWebhookUrl": { "title": "Discord webhook URL (optional)", "type": "string", "description": "Required if destination=discord. Discord truncates messages over 2000 chars; the Actor handles that for you." } } }, "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 } } } } } } } } } } ```