# GitHub Bounty Scanner (`mranderson323/github-bounty-scanner`) Actor

Scans GitHub for open developer bounties from Algora and bounty-labeled issues. Returns structured results with dollar amounts, repos, and required skills. Priced at $0.05 per bounty found.

- **URL**: https://apify.com/mranderson323/github-bounty-scanner.md
- **Developed by:** [Jeff](https://apify.com/mranderson323) (community)
- **Categories:** Developer tools, Jobs, Integrations
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Bounty Scanner

Scans GitHub for open developer bounties posted through [Algora](https://algora.io) and standard `bounty` / `reward` labels. Returns structured results with dollar amounts, repository info, and required skills — ready to filter, sort, and act on.

### What it does

- Searches GitHub Issues for active bounties from Algora's platform and bounty-labeled repos
- Extracts confirmed dollar amounts from issue bodies and Algora bot comments
- Filters by programming language, minimum bounty value, and result count
- Returns clean structured data: title, URL, repo, bounty amount, skills, and description

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `language` | string | *(all)* | Filter by programming language (e.g. `TypeScript`, `Python`, `Rust`) |
| `minAmount` | integer | `25` | Minimum bounty value in USD |
| `maxResults` | integer | `100` | Maximum number of results to return (up to 500) |
| `githubToken` | string | *(none)* | Optional GitHub personal access token for 5000 req/hr vs 60/hr unauthenticated |

### Output

Each result contains:

```json
{
  "id": "gh-123456789",
  "title": "Fix: binary column types incorrectly typed as strings",
  "url": "https://github.com/drizzle-team/drizzle-orm/issues/5900",
  "repo": "drizzle-team/drizzle-orm",
  "bountyAmount": 200,
  "currency": "USD",
  "labels": ["bug", "bounty", "typescript"],
  "skills": ["TypeScript"],
  "description": "MySQL2 binary/varbinary types are...",
  "createdAt": "2026-06-10T14:23:00Z",
  "source": "algora"
}
```

### Pricing

**$0.005 per bounty returned** (~$0.50 per 100 results). You only pay for results that match your filters.

### Use cases

- Build a personal bounty dashboard for freelance income
- Feed results into an AI agent that evaluates and applies to bounties
- Track high-value open issues across repos you contribute to
- Monitor specific languages or ecosystems for new bounty postings

### Tips

- Provide a GitHub token to avoid hitting the 60 req/hr unauthenticated rate limit
- Set `minAmount: 100` to focus on higher-value bounties
- Use `language: TypeScript` or `language: Python` to narrow to your stack
- Run on a schedule (daily or hourly) to catch new bounties as they appear

# Actor input Schema

## `language` (type: `string`):

Filter bounties by programming language (e.g. TypeScript, Python, Rust). Leave blank for all languages.

## `minAmount` (type: `integer`):

Only return bounties with at least this dollar value.

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

Maximum number of bounties to return.

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

Provide a GitHub token for higher rate limits (5000 req/hr vs 60/hr unauthenticated).

## Actor input object example

```json
{
  "language": "",
  "minAmount": 25,
  "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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mranderson323/github-bounty-scanner").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("mranderson323/github-bounty-scanner").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 mranderson323/github-bounty-scanner --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=mranderson323/github-bounty-scanner",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zfH6BQNnYVQkWHAQs/builds/70M5rPoBICjbArykF/openapi.json