# GitHub Issues & PR Monitor (`lovely_radiologist/github-issues-monitor`) Actor

Watch any GitHub repo or org for new issues and PRs matching label/keyword filters. Built for OSS maintainers, support teams, and competitive intelligence. Pairs naturally with Apify scheduler and webhooks.

- **URL**: https://apify.com/lovely\_radiologist/github-issues-monitor.md
- **Developed by:** [Vivek Gaur](https://apify.com/lovely_radiologist) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 issue scrapeds

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 & PR Monitor

Watch any GitHub repo for new issues and pull requests matching **label and keyword filters** — built for automation and webhooks, not just one-off exports.

### Typical Use Cases

- **OSS maintainers**: get notified when `bug` or `critical` issues appear
- **Support teams**: watch for customer-reported issues across your org's repos
- **Competitive intel**: monitor a competitor's OSS repo for feature requests
- **AI agents**: scheduled run every hour → webhook → Slack/email alert pipeline

### Schedule This Actor

This Actor is designed to run on a schedule. Set up in Apify Console:

1. Create a **Schedule** → run this Actor every hour
2. Add a **Webhook** on the run to POST results to your Slack/email endpoint
3. Use the `since` field (ISO date) to only fetch issues newer than your last run

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `repo` | string | — | `owner/repo` or GitHub URL |
| `labels` | string\[] | — | Filter by labels (OR logic) |
| `keywords` | string\[] | — | Filter by title/body keywords |
| `since` | ISO date | — | Only return items after this date |
| `state` | string | `open` | `open`, `closed`, or `all` |
| `maxResults` | integer | 100 | Max items to return |

### Output

```json
{
  "number": 1234,
  "title": "Memory leak in useEffect cleanup",
  "type": "issue",
  "author": "octocat",
  "labels": ["bug", "memory"],
  "state": "open",
  "url": "https://github.com/vercel/next.js/issues/1234",
  "createdAt": "2026-07-11T10:00:00Z",
  "bodyExcerpt": "When using useEffect with...",
  "repo": "vercel/next.js"
}
```

### Pricing (PPE)

| Event | Price |
|-------|-------|
| `actor-start` | $0.01 |
| `issue-found` | $0.01 per issue/PR |

### Related Actors

- [GitHub Repository Insights](https://apify.com/TODO) — get the full repo health picture
- [GitHub Org Scraper](https://apify.com/TODO) — monitor all repos in an org

# Actor input Schema

## `repo` (type: `string`):

Repository to monitor. Format: 'owner/repo' or a GitHub URL.

## `labels` (type: `array`):

Only return issues/PRs with at least one of these labels.

## `keywords` (type: `array`):

Only return issues/PRs whose title or body contains at least one of these keywords.

## `since` (type: `string`):

Only return issues/PRs created or updated after this date. ISO 8601 format.

## `includesPRs` (type: `boolean`):

Include pull requests in the results (GitHub API returns both issues and PRs unless filtered).

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

Filter issues and PRs by their state: open, closed, or all.

## `maxResults` (type: `integer`):

Maximum number of issues/PRs to return.

## Actor input object example

```json
{
  "repo": "vercel/next.js",
  "labels": [
    "bug",
    "feature-request"
  ],
  "keywords": [],
  "includesPRs": true,
  "state": "open",
  "maxResults": 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 = {
    "repo": "vercel/next.js",
    "labels": [
        "bug",
        "feature-request"
    ],
    "keywords": [],
    "since": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("lovely_radiologist/github-issues-monitor").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 = {
    "repo": "vercel/next.js",
    "labels": [
        "bug",
        "feature-request",
    ],
    "keywords": [],
    "since": "",
}

# Run the Actor and wait for it to finish
run = client.actor("lovely_radiologist/github-issues-monitor").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": "vercel/next.js",
  "labels": [
    "bug",
    "feature-request"
  ],
  "keywords": [],
  "since": ""
}' |
apify call lovely_radiologist/github-issues-monitor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/iOXz4ITTagQjAxPOg/builds/Cws3MkrXARCg1J9y0/openapi.json