# GitHub Issues & PRs Scraper - Bulk Data (`antishock/github-issues-prs-scraper`) Actor

Scrape GitHub issues and pull requests at scale. Extract titles, labels, assignees, comments, and status for open source research, project tracking, and developer analytics.

- **URL**: https://apify.com/antishock/github-issues-prs-scraper.md
- **Developed by:** [Ryan Zinburg](https://apify.com/antishock) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 result items

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 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 Issues & PRs Scraper

Scrapes issues and pull requests from public GitHub repositories via the GitHub REST API.

### Input

- `repository` (string): Repository in `owner/repo` format, for example `openai/openai-python`.
- `includePulls` (boolean): Include pull requests.
- `includeIssues` (boolean): Include regular issues.
- `state` (enum): `open`, `closed`, or `all`.
- `maxItems` (integer): Maximum number of results, default `100`.

`GITHUB_TOKEN` is optional. Set it as an Actor environment variable or secret to increase GitHub API rate limits.

### Output

Each dataset item contains:

- `type`: `issue` or `pull-request`
- `number`
- `title`
- `author`
- `state`
- `labels`
- `createdAt`
- `closedAt`
- `commentsCount`
- `url`

### Example input

```json
{
  "repository": "openai/openai-python",
  "includePulls": true,
  "includeIssues": true,
  "state": "open",
  "maxItems": 100
}
```

# Actor input Schema

## `repository` (type: `string`):

GitHub repository in owner/repo format.

## `includePulls` (type: `boolean`):

Include pull requests in the output.

## `includeIssues` (type: `boolean`):

Include regular issues in the output.

## `state` (type: `string`):

GitHub issue or pull request state.

## `maxItems` (type: `integer`):

Maximum number of issues and pull requests to save.

## Actor input object example

```json
{
  "repository": "openai/openai-python",
  "includePulls": true,
  "includeIssues": true,
  "state": "open",
  "maxItems": 100
}
```

# 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 = {
    "repository": "openai/openai-python"
};

// Run the Actor and wait for it to finish
const run = await client.actor("antishock/github-issues-prs-scraper").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 = { "repository": "openai/openai-python" }

# Run the Actor and wait for it to finish
run = client.actor("antishock/github-issues-prs-scraper").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 '{
  "repository": "openai/openai-python"
}' |
apify call antishock/github-issues-prs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=antishock/github-issues-prs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/O07eDhfKc1go1ORQx/builds/a5bRd5xKYio8bAq7H/openapi.json