# GitHub Opportunity Radar (`toronto_777/github-opportunity-radar`) Actor

Find and rank public GitHub issues that are practical contribution opportunities using keywords, language, stars, and activity filters.

- **URL**: https://apify.com/toronto\_777/github-opportunity-radar.md
- **Developed by:** [Steven Feng](https://apify.com/toronto_777) (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/platform/actors/running/actors-in-store#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 Opportunity Radar

GitHub Opportunity Radar searches public GitHub issues and ranks practical contribution opportunities for independent developers. It is intended for discovery and prioritization, not for acting on GitHub content.

### What It Does

- Searches public GitHub issues from user-provided keywords.
- Applies lightweight filters such as language, repository stars, and excluded repositories.
- Scores opportunities based on issue and repository signals.
- Returns ranked records that can be reviewed before a contributor chooses what to work on.

### Input Fields

- `keywords`: issue search terms.
- `languages`: optional repository languages.
- `minStars`: minimum repository stars.
- `maxResults`: maximum records.
- `excludeRepos`: public repositories to skip, using `owner/repo` full names.
- `includeClosedRecently`: when true, includes recently updated closed issues in search results.
- `githubToken`: optional secret for higher API limits.

### Output Fields

Each dataset item includes:

- `status`: `ok`, `partial`, or `failed`.
- `errors`: non-fatal limitations or per-record errors.
- `evidence`: source URLs used for the record.
- `observedAt`: ISO timestamp for the run.
- `keyword`: matched input keyword.
- `searchQuery`: GitHub search query used to find the issue.
- `repository`: `fullName`, `url`, `stars`, `language`, and `pushedAt`.
- `issue`: `id`, `number`, `title`, `url`, `state`, `labels`, `createdAt`, `updatedAt`, `comments`, and `assignees`.
- `opportunityScore`: numeric opportunity ranking.
- `riskFlags`: risk labels that explain possible drawbacks.
- `suggestedAction`: manual follow-up recommendation.

### Limits And Safety Boundaries

This Actor uses public GitHub search/API data only. It does not claim issues, comment on GitHub, open pull requests, inspect private repositories, or make changes to repositories.

Linked pull request timeline analysis is not included in the MVP.
Excluded repositories are applied after lightweight candidate collection because GitHub issue search returns repository API URLs, not guaranteed `owner/repo` names.

# Actor input Schema

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

Issue search terms to look for, such as labels or bounty-related words.

## `languages` (type: `array`):

Optional GitHub language qualifiers used to narrow the issue search.

## `minStars` (type: `integer`):

Minimum repository star count required after repository enrichment.

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

Maximum number of ranked opportunities to return.

## `excludeRepos` (type: `array`):

Repository full names to exclude, for example owner/name.

## `includeClosedRecently` (type: `boolean`):

Whether to include recently closed issue signals in the opportunity analysis.

## `githubToken` (type: `string`):

Optional GitHub token for higher API rate limits.

## Actor input object example

```json
{
  "keywords": [
    "good first issue",
    "bounty"
  ],
  "languages": [
    "TypeScript"
  ],
  "minStars": 100,
  "maxResults": 25,
  "excludeRepos": [],
  "includeClosedRecently": false
}
```

# Actor output Schema

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

Dataset items with ranked public GitHub issues, repository metadata, evidence URLs, scores, risk flags, and suggested actions.

## `summary` (type: `string`):

Key-value store OUTPUT record containing totalRecords and the returned records for this run.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("toronto_777/github-opportunity-radar").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("toronto_777/github-opportunity-radar").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 '{}' |
apify call toronto_777/github-opportunity-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=toronto_777/github-opportunity-radar",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/D0MHnfwWdtUAWQ8wl/builds/xHeaZh0DKjUb3BWCw/openapi.json