# Open Collective Finance Scraper (`enezli/opencollective-scraper`) Actor

Get any Open Collective's public expenses and transactions as clean JSON — amounts, dates, payees, categories. Free to start, API & MCP ready.

- **URL**: https://apify.com/enezli/opencollective-scraper.md
- **Developed by:** [Turgay NANTA](https://apify.com/enezli) (community)
- **Categories:** Agents, MCP servers, Business
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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/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

## Open Collective Finance Scraper

Get any Open Collective's public transactions as clean JSON: amounts, fees, contributions and payees. One click, no required fields, no LLM.

### What it does

Open Collective is a transparent finance platform for open-source projects and community groups — every collective's income, expenses and fees are public by design, exposed through an open GraphQL API. This actor reads any collective's **public transaction ledger** and returns clean JSON: amount, currency, transaction kind (contribution, host fee, payment-processor fee, expense payout...), counterpart accounts and timestamp. Give it a collective's slug (`webpack`) and get its financial activity — no login, no scraping HTML.

**Why this one:**

- **Official public GraphQL API** — no HTML scraping, no auth token needed
- **Full transaction kind breakdown (fees separated from contributions and payouts)**
- **Works on any of the thousands of public collectives**
- **No LLM anywhere** — deterministic output, predictable costs, no hallucinated fields
- **Clean by default** — canonical URLs (tracking parameters stripped), parsed numbers, merged duplicates

### Quick start (no code)

1. Click **Try for free** / **Start** — every field has a working default, nothing is required.
2. (Optional) change **query** to what you need.
3. Open the **Dataset** tab when the run finishes → export as JSON, CSV or Excel.

### Input

| Field | Required | Default | Description |
|---|---|---|---|
| `query` | no | `webpack` | Open Collective slug, optionally followed by a search term to filter by description (e.g. `webpack sponsor`). Find it in the collective's URL: `opencollective.com/<slug>`. |
| `maxResults` | no | `20` | Maximum clean results (capped at 500) |
| `enrich` | no | `false` | Deterministic enrichment per record — see below |
| `monitor` | no | `false` | Compare with the previous run, flag NEW records only |

Example input:

```json
{
  "query": "webpack",
  "maxResults": 50
}
```

### Output

Real example record (from a live run):

```json
{
  "id": "75e100f8-8123-4304-af9c-a74183221629",
  "title": "Host Fee",
  "url": "https://opencollective.com/webpack/transactions/12971273",
  "price": -20.0,
  "price_text": "-20",
  "seller": "webpack",
  "description": "HOST_FEE — webpack → Open Source Collective",
  "type": "DEBIT",
  "kind": "HOST_FEE",
  "from_account": "webpack",
  "to_account": "opensource",
  "completeness": 0.67
}
```

The final `_summary` row carries run totals (`total_clean`, `deduped`, `enriched`); in monitor mode a `_changes` row lists keys new since the last run.

**Field reference**

| Field | Meaning |
|---|---|
| `id` | Transaction ID (stable, deduplication key) |
| `title` | Transaction description |
| `url` | Canonical transaction URL on Open Collective |
| `price / price_text` | Amount and currency (negative = outgoing, positive = incoming) |
| `seller` | Collective slug |
| `type` | CREDIT or DEBIT |
| `kind` | CONTRIBUTION, HOST\_FEE, PAYMENT\_PROCESSOR\_FEE, EXPENSE, etc. |
| `from_account / to_account` | Counterpart account slugs |
| `price` / `price_text` | Parsed numeric value + original text, when the source publishes one |
| `completeness` | 0–1 filled-fields score (with `enrich`) |

### Use cases

- **Open-source funding research** — see exactly how much a project raises and spends, and on what.
- **Sponsor discovery** — `kind=CONTRIBUTION` rows show who is funding a project, at what amount.
- **Financial transparency dashboards** — build a live funding tracker for a collective or a portfolio of them.
- **Due diligence** — check a fiscally-sponsored project's actual cash activity before contributing.
- **AI agents** — live 'how is project X funded?' answers via MCP.

### Enrichment (optional, charged only when it produces something)

Set `enrich: true` and every record additionally gets: e-mail addresses extracted from the description (when present), the canonical `domain` of the record's URL, and a `completeness` score (0–1, how many core fields are filled). Deterministic — the same input always yields the same output — and you are **only charged for records that actually got enriched**. Records where enrichment adds nothing are free.

### Monitor mode — change alerts on a schedule

Set `monitor: true` and the actor compares the current run with the previous one (per-actor named storage) and flags **only NEW records**. Combine with [Apify Schedules](https://docs.apify.com/platform/schedules) for a daily/hourly watch: the `_changes` summary row lists what appeared since the last run, and the `change-alert` event is charged **per new record only** — an unchanged run costs you almost nothing.

### Use it from your code

**Python**

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("EnezLi/opencollective-scraper").call(run_input={  "query": "webpack",  "maxResults": 50 })
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

**JavaScript**

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const { defaultDatasetId } = await client.actor('EnezLi/opencollective-scraper').call({  "query": "webpack",  "maxResults": 50 });
const { items } = await client.dataset(defaultDatasetId).listItems();
console.log(items);
```

**curl**

```bash
curl -X POST "https://api.apify.com/v2/acts/EnezLi~opencollective-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{  "query": "webpack",  "maxResults": 50 }'
```

### Use it with AI agents (MCP)

This actor is agent-ready: it appears in Apify's **AGENTS / MCP servers** catalog, so any MCP-capable assistant (Claude, custom agents, LangGraph tools) can discover and call it with a one-line tool call — zero required fields means an agent can run it safely with defaults. Connect your agent to the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) and ask for live data in natural language.

### Pricing — Pay-Per-Event, start is free

| Event | When charged |
|---|---|
| Actor start | **Free ($0)** — try it with one click |
| `result` | Per clean result returned |
| `enrichment` | Only per record that actually got enriched |
| `change-alert` | Monitor mode: per NEW record since the previous run |

No subscription, no minimum. Volume discounts apply automatically through Apify account tiers (up to −44% on GOLD). Typical run cost example: 20 results ≈ a few cents total — you can predict your bill from the numbers above before you run.

### Is this legal?

This actor collects **publicly available data only** — the same information any visitor sees in a browser, via public endpoints. It does not bypass logins, collect private personal data, or store credentials. You are responsible for using the output in compliance with the source site's terms and the laws that apply to you (e.g. GDPR when the output contains personal data).

### Support & feedback

Found a bug, need another field, or want a variant for a related platform? **Open an issue on the Issues tab** — issues are monitored and answered, and frequently-requested fields get added to the standard output. The actor is maintained as part of a scraper family built on one shared, tested core (bugs fixed once are fixed everywhere).

### Changelog

- **0.1** (2026-07) — initial public release: search, dedup, optional enrichment, monitor mode, PPE pricing.

### Limitations (honest ones)

Reads Open Collective's official public GraphQL transaction ledger; collectives with private finances (rare) return zero rows. Expense line-item detail (receipts, categories) is not included yet — transaction-level only.

### FAQ

**How do I find a collective's slug?**

It's the last part of its Open Collective URL: `opencollective.com/webpack` → slug is `webpack`.

**Why do amounts include negative numbers?**

Negative = money leaving the collective (fees, expense payouts); positive = money coming in (contributions). This mirrors the platform's own ledger.

**A collective returned zero transactions — why?**

Either the slug is misspelled, or the collective has no public financial activity yet. The run ends cleanly either way — nothing charged for results.

**Do I need an API key or account on the source platform?**

No. The actor uses public endpoints — you only need your Apify account.

**Does it use AI / an LLM?**

No. The core is fully deterministic: same input, same output, no hallucinations, no per-token costs.

**Can I run it on a schedule?**

Yes — use Apify Schedules; combine with monitor mode to pay only for what's new.

**What's the maximum number of results?**

500 per run (memory-safe cap). Run multiple queries or schedule runs for more.

**How is my bill calculated?**

Only from the events in the Pricing table — start is free, and there is no subscription.

# Actor input Schema

## `query` (type: `string`):

What to search for on Open Collective. Leave empty to use the default example query — the actor runs with one click, no required fields.

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

Maximum number of clean results to return (capped at 500).

## `enrich` (type: `boolean`):

Adds deterministic enrichment per record: extracted emails, canonical domain and a completeness score. Charged per enriched record (see Pricing).

## `monitor` (type: `boolean`):

Compares this run with the previous one and flags NEW records only. Ideal for scheduled runs — get alerted when something changes. Charged per change.

## Actor input object example

```json
{
  "query": "webpack",
  "maxResults": 20,
  "enrich": false,
  "monitor": false
}
```

# 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 = {
    "query": "webpack"
};

// Run the Actor and wait for it to finish
const run = await client.actor("enezli/opencollective-scraper").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 = { "query": "webpack" }

# Run the Actor and wait for it to finish
run = client.actor("enezli/opencollective-scraper").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 '{
  "query": "webpack"
}' |
apify call enezli/opencollective-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ic3gq3NMFj0qLT1I2/builds/b14BuMA19bz8fd5ak/openapi.json