# Open Collective Transactions Scraper

**Use case:** 

Collect Babel Open Collective transactions and expenses with amounts, dates, payees, and financial metadata.

## Input

```json
{
  "collectiveSlugs": [
    "babel"
  ],
  "dataTypes": [
    "collective",
    "transactions",
    "expenses"
  ],
  "maxMembers": 20,
  "maxTransactions": 100,
  "maxExpenses": 100,
  "memberRoles": [],
  "transactionTypes": []
}
```

## Output

```json
{
  "recordType": {
    "label": "Type",
    "format": "text"
  },
  "collectiveSlug": {
    "label": "Collective",
    "format": "text"
  },
  "collectiveName": {
    "label": "Collective Name",
    "format": "text"
  },
  "id": {
    "label": "ID",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "role": {
    "label": "Role",
    "format": "text"
  },
  "type": {
    "label": "Type/Kind",
    "format": "text"
  },
  "kind": {
    "label": "Kind",
    "format": "text"
  },
  "amountValue": {
    "label": "Amount",
    "format": "number"
  },
  "amountCurrency": {
    "label": "Currency",
    "format": "text"
  },
  "createdAt": {
    "label": "Created",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "description": {
    "label": "Description",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Open Collective Scraper](https://apify.com/automation-lab/open-collective-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/open-collective-scraper) to learn more, explore other use cases, and run it yourself.