# GitHub Release Notes & Changelog Scraper (`happyfhantum/github-changelogs`) Actor

Track GitHub releases and changelogs to spot product updates, launches, and breaking changes.

- **URL**: https://apify.com/happyfhantum/github-changelogs.md
- **Developed by:** [Kelsey Todd](https://apify.com/happyfhantum) (community)
- **Categories:** Lead generation
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.01 / github repo processed

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Release Notes & Changelog Scraper

Track public GitHub releases and changelogs so you can spot product updates, launches, breaking changes, and release cadence without manually checking each repo.

### What it does

- Pulls public GitHub releases for each `owner/repo` input.
- Filters drafts and optional prereleases, then keeps the most recent release history.
- Tags release notes for themes like `ai`, `security`, `pricing`, `enterprise`, `integration`, and `breaking_change`.
- Estimates release cadence so you can tell whether a repo is moving fast, steady, or sporadically.
- Returns CSV-friendly rows plus a readable `GITHUB_RELEASE_BRIEF.md` artifact.

### Best fit

- competitive intelligence workflows
- product marketing teams tracking rivals
- agencies monitoring public roadmap velocity
- founders researching whether a tool is actively evolving

### Output highlights

- repo-level cadence signal
- dominant release themes
- per-release why-it-matters summary
- release URLs for source verification

### Pricing model

This actor is designed for pay-per-event pricing with one charge per successfully processed repository.

# Actor input Schema

## `repoNames` (type: `array`):

GitHub repositories in owner/repo format.

## `maxReleases` (type: `integer`):

How many recent releases to analyze per repository.

## `includePrereleases` (type: `boolean`):

Turn this on if you want beta, rc, or prerelease versions included.

## `requestTimeoutSecs` (type: `integer`):

Maximum time to wait for each GitHub API request before failing the repository.

## Actor input object example

```json
{
  "repoNames": [
    "vercel/next.js"
  ],
  "maxReleases": 10,
  "includePrereleases": false,
  "requestTimeoutSecs": 30
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "repoNames": [
        "vercel/next.js"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("happyfhantum/github-changelogs").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "repoNames": ["vercel/next.js"] }

# Run the Actor and wait for it to finish
run = client.actor("happyfhantum/github-changelogs").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "repoNames": [
    "vercel/next.js"
  ]
}' |
apify call happyfhantum/github-changelogs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,happyfhantum/github-changelogs"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3QLLOcoBDTh2yy6cn/builds/ITEQLaF4w4GEEZfu4/openapi.json