# GitHub Paid Bounty Finder (`tomandre/passive-income-factory`) Actor

Find paid Github issues and developer bounties with explicit reward amounts. Filters obvious noise and returns structured, ranked opportunities.

- **URL**: https://apify.com/tomandre/passive-income-factory.md
- **Developed by:** [Tom Andre Holen](https://apify.com/tomandre) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

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/actors/running/actors-in-store.md#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 Paid Bounty Finder

Find open GitHub issues that explicitly offer money for completed work — without manually searching through thousands of issues.

GitHub Paid Bounty Finder searches current public GitHub issues, extracts stated USD/USDC/EUR payments, removes common false positives and test/aggregator noise, assigns a trust score, and ranks the most actionable opportunities.

### What you get

Each result includes:

- stated bounty amount and currency
- issue title and direct GitHub URL
- repository
- labels and comment count
- created and updated timestamps
- issue description excerpt
- trust score
- opportunity score
- source provenance

### Useful for

- developers looking for paid open-source tasks
- AI coding agents searching for paid work
- bounty hunters
- researchers monitoring paid GitHub work
- automation systems that need structured bounty signals

### Quality filtering

The Actor is not a generic GitHub issue scraper. It filters common false payment signals, obvious test/demo bounties and aggregator alerts. Results are scored using payment evidence, bounty/reward labels, concrete deliverable language, freshness and other confidence signals.

No automated filter can guarantee that a bounty will ultimately pay. Always open the source issue and verify eligibility, requirements and payment terms before doing work.

### Input

- `maxResults` — 1–100 results, default 25
- `minAmount` — minimum stated bounty amount, default 50
- `requireExplicitAmount` — require a parsable monetary amount, default true
- `minTrustScore` — quality threshold from 0–10, default 5
- `extraKeywords` — optional filters such as `API`, `Python`, `automation`, `scraper`, `data`, or `MCP`

### Pricing

Designed for Apify Pay Per Event.

Event: `bounty-result`

Launch target: **$0.01 per qualified result**. Filtered-out issues are not charged as results. A default 25-result run therefore targets $0.25 in event charges, subject to Apify's pricing and platform rules.

### Efficient by design

The Actor uses GitHub's public API and does not require browser automation, proxies, or a paid external data provider. An optional GitHub token can improve API allowance for higher-volume usage.

### Example workflow

Run daily with a minimum bounty amount and optional technical keywords, export the resulting dataset, and feed the trusted opportunities into your own review or agent workflow.

# Actor input Schema

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

Maximum number of trusted paid bounty opportunities to return.

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

Minimum explicit USD, USDC, or EUR bounty amount.

## `requireExplicitAmount` (type: `boolean`):

Recommended: only return issues with a parsable monetary bounty amount.

## `minTrustScore` (type: `number`):

Quality threshold from 0 to 10. Higher values remove more ambiguous or low-confidence bounty signals.

## `extraKeywords` (type: `array`):

Optional topic filters such as API, Python, automation, scraper, data, or MCP.

## Actor input object example

```json
{
  "maxResults": 25,
  "minAmount": 50,
  "requireExplicitAmount": true,
  "minTrustScore": 5,
  "extraKeywords": []
}
```

# Actor output Schema

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

Filtered paid GitHub bounty opportunities stored in the run's default dataset.

# 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("tomandre/passive-income-factory").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("tomandre/passive-income-factory").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 '{}' |
apify call tomandre/passive-income-factory --silent --output-dataset

```

## MCP server setup

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

```

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/P3IoSWhtsppnL8Y6V/builds/gvdV5mZm6jzbEz6sf/openapi.json