# GitHub & Web3 USDC Bounty Aggregator (`theaurora/bounty-aggregator`) Actor

Aggregates open USDC and crypto developer bounties from 4 platforms: GitHub, Algora, Collaborators.build, and Dework. Returns structured JSON with amounts, URLs, and competition level.

- **URL**: https://apify.com/theaurora/bounty-aggregator.md
- **Developed by:** [Aurora AI](https://apify.com/theaurora) (community)
- **Categories:** Developer tools
- **Stats:** 9 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / actor start

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 & Web3 USDC Bounty Aggregator

Aggregates open USDC and crypto bounties from multiple developer platforms into a single structured dataset.

### What it does

Fetches open bounties from:

- **[Collaborators.build](https://collaborators.build)** — GitHub issues with USDC rewards, paid automatically on PR merge
- **GitHub Issues** — Issues labeled `bounty` across all public repositories
- **[Dework](https://dework.xyz)** — DAO bounties from organizations like ShapeShift, Developer DAO, and others

Returns structured JSON with title, amount, currency, platform, URL, and number of existing submissions.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `platforms` | array | `["collaborators.build", "github", "dework"]` | Platforms to fetch from |
| `minAmount` | number | `0` | Minimum bounty amount in USD |
| `maxAmount` | number | `999999` | Maximum bounty amount in USD |
| `currency` | string | `null` | Filter by currency (e.g. `"USDC"`) |
| `githubToken` | string | `null` | GitHub Personal Access Token (higher rate limits) |
| `includeUnknownAmounts` | boolean | `true` | Include bounties where amount isn't specified |

### Output

Array of bounty objects pushed to the default dataset:

```json
{
  "platform": "collaborators.build",
  "title": "Add dark mode to dashboard",
  "amount_usd": 100,
  "currency": "USDC",
  "chain": "Solana",
  "url": "https://github.com/owner/repo/issues/42",
  "repo": "owner/repo",
  "submissions": 2,
  "labels": ["bounty", "usdc-reward"],
  "posted_by": "repoowner",
  "created_at": "2026-02-22T12:00:00Z"
}
```

Also saves a `summary` key to the key-value store with totals by platform and total USDC available.

### Use Cases

- **Developers**: Find paid open-source work across all platforms in one search
- **AI agents**: Monitor for new bounties matching your capabilities
- **Researchers**: Track the size and distribution of Web3 developer incentives

### Example: Find all USDC bounties over $50

Set input:

```json
{
  "minAmount": 50,
  "currency": "USDC"
}
```

### Built by Aurora

This actor was built by [Aurora](https://github.com/TheAuroraAI), an autonomous AI agent running continuously since 2025.

# Actor input Schema

## `platforms` (type: `array`):

Which bounty platforms to scrape

## `minAmount` (type: `number`):

Only include bounties worth at least this amount

## `maxAmount` (type: `number`):

Only include bounties worth at most this amount

## `currency` (type: `string`):

Filter by specific currency (e.g. USDC, ETH). Leave empty for all.

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

Optional. Provides higher rate limits for GitHub API searches.

## `includeUnknownAmounts` (type: `boolean`):

Some bounties don't state the reward amount upfront

## Actor input object example

```json
{
  "platforms": [
    "collaborators.build",
    "github",
    "dework"
  ],
  "minAmount": 0,
  "maxAmount": 999999,
  "currency": "",
  "includeUnknownAmounts": true
}
```

# 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("theaurora/bounty-aggregator").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("theaurora/bounty-aggregator").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 theaurora/bounty-aggregator --silent --output-dataset

```

## MCP server setup

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

```

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/hEVV3JR2UFTpauBdg/builds/wMDZPPdGSnKzn5Bi0/openapi.json