# GitHub Issue Freshness Monitor (`qdgemi/my-actor`) Actor

Find recent open issues across public GitHub repositories using the official GitHub REST API. Useful for maintainers, developer advocates, and small teams tracking issue freshness.

- **URL**: https://apify.com/qdgemi/my-actor.md
- **Developed by:** [QD gemi](https://apify.com/qdgemi) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Issue Freshness Monitor

Find recent open issues across public GitHub repositories using the official GitHub REST API.

### What It Does

- Accepts public repositories in `owner/name` format.
- Filters by recent creation date.
- Optionally filters by labels and keywords.
- Returns structured issue records with title, URL, labels, timestamps, comment count, author, and a short body snippet.
- Excludes pull requests by default.

### Inputs

- `repositories`: public GitHub repositories.
- `keywords`: optional title/body terms.
- `labels`: optional GitHub labels.
- `createdSinceDays`: only issues created within this many days.
- `maxItems`: maximum records to output.
- `includePullRequests`: include PRs if true.

### Output

Each dataset item contains:

- `repository`
- `number`
- `title`
- `url`
- `state`
- `createdAt`
- `updatedAt`
- `labels`
- `comments`
- `author`
- `isPullRequest`
- `bodySnippet`

### Compliance Notes

This Actor uses the official public GitHub REST API. It does not scrape logged-in GitHub pages, bypass access controls, or access private repositories. For higher rate limits, users can set `GITHUB_TOKEN` as an environment variable in their own Apify account.

### Limitations

- Unauthenticated GitHub API calls have low rate limits.
- Search results depend on GitHub indexing and query behavior.
- This Actor does not guarantee bounty availability or income.
- Users are responsible for respecting GitHub terms and any third-party task platform rules.

# Actor input Schema

## `repositories` (type: `array`):

Public GitHub repositories in owner/name format.

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

Optional title/body keywords to match.

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

Optional GitHub labels to match.

## `createdSinceDays` (type: `integer`):

Only return issues created within this many days.

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

Maximum issues to return across all repositories.

## `includePullRequests` (type: `boolean`):

GitHub search returns issues and PRs; keep false to filter PRs out.

## Actor input object example

```json
{
  "repositories": [
    "apify/crawlee",
    "openai/openai-node"
  ],
  "keywords": [
    "bug",
    "docs",
    "help wanted"
  ],
  "labels": [
    "good first issue",
    "help wanted"
  ],
  "createdSinceDays": 14,
  "maxItems": 50,
  "includePullRequests": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "repositories": [
        "apify/crawlee",
        "openai/openai-node"
    ],
    "keywords": [
        "bug",
        "docs",
        "help wanted"
    ],
    "labels": [
        "good first issue",
        "help wanted"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("qdgemi/my-actor").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 = {
    "repositories": [
        "apify/crawlee",
        "openai/openai-node",
    ],
    "keywords": [
        "bug",
        "docs",
        "help wanted",
    ],
    "labels": [
        "good first issue",
        "help wanted",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("qdgemi/my-actor").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 '{
  "repositories": [
    "apify/crawlee",
    "openai/openai-node"
  ],
  "keywords": [
    "bug",
    "docs",
    "help wanted"
  ],
  "labels": [
    "good first issue",
    "help wanted"
  ]
}' |
apify call qdgemi/my-actor --silent --output-dataset

```

## MCP server setup

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

```

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/S9UHtspnuKxUEo7Nz/builds/eOkCJzQ6MobSoucYE/openapi.json