# CFPB Consumer Complaint Extractor (`ledgerline-data/cfpb-complaint-extractor`) Actor

Pull CFPB public consumer complaints (18M+ records, daily, CC0) as clean JSON/CSV. Filter by company, product, issue, state, keyword and date. For compliance, vendor-risk, fintech research and journalists.

- **URL**: https://apify.com/ledgerline-data/cfpb-complaint-extractor.md
- **Developed by:** [Ledgerline Data](https://apify.com/ledgerline-data) (community)
- **Categories:** Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## CFPB Consumer Complaint Extractor

**By Ledgerline Data.** Pull consumer complaints from the U.S. Consumer Financial Protection Bureau's public Consumer Complaint Database and get them back as clean JSON, CSV or Excel. The database holds more than 18M records, is refreshed daily and is licensed CC0.

### What it does

Searches the official CFPB complaint API, newest complaints first, and returns one tidy row per complaint. You don't need a login, proxies or any scraping fragility.

### Use cases

- **Compliance and vendor risk:** monitor complaints about your institution, your servicers and your vendors.
- **Fintech and lender competitive research:** compare complaint volume and issue mix across competitors.
- **Legal and advocacy research:** spot patterns by product, issue or state.
- **Journalism and analysis:** build datasets for stories and dashboards.

### Input

| Field | Description |
|---|---|
| `searchTerm` | Free-text keyword, for example `escrow` or `forbearance` |
| `companys` | Exact CFPB company names, for example `Freedom Mortgage Company` |
| `products` | For example `Mortgage`, `Debt collection`, `Credit card` |
| `states` | Two-letter state codes |
| `issues` | CFPB issue names |
| `dateFrom` / `dateTo` | Date-received range (YYYY-MM-DD) |
| `maxItems` | Maximum results (default 100, up to 10,000) |

```json
{ "products": ["Mortgage"], "states": ["CA"], "dateFrom": "2026-10-01", "maxItems": 500 }
```

### Sample output

```json
{
  "complaintId": "30175657",
  "dateReceived": "2026-10-16",
  "company": "Freedom Mortgage Company",
  "product": "Mortgage",
  "subProduct": "Conventional home mortgage",
  "issue": "Problem with a company's investigation into an existing problem",
  "state": "CA",
  "zip": "90802",
  "companyResponse": "Closed with explanation",
  "timely": "Yes",
  "submittedVia": "Web",
  "url": "https://www.consumerfinance.gov/data-research/consumer-complaints/search/detail/30175657"
}
```

### Pricing

Pay per result: **$1.00 per 1,000 complaints** ($0.001 each), plus standard Apify platform usage.

### Notes

The data comes from the CFPB's public API. Complaints aren't verified by the CFPB, so treat them as consumer allegations. This tool isn't affiliated with the CFPB.

# Actor input Schema

## `searchTerm` (type: `string`):

Free-text search, e.g. 'escrow'

## `companys` (type: `array`):

Companies (exact CFPB names)

## `products` (type: `array`):

e.g. Mortgage, Debt collection

## `states` (type: `array`):

States (2-letter)

## `issues` (type: `array`):

Issues

## `dateFrom` (type: `string`):

Received from (YYYY-MM-DD)

## `dateTo` (type: `string`):

Received to (YYYY-MM-DD)

## `maxItems` (type: `integer`):

Max results

## Actor input object example

```json
{
  "maxItems": 100
}
```

# Actor output Schema

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

No description

# 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("ledgerline-data/cfpb-complaint-extractor").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("ledgerline-data/cfpb-complaint-extractor").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 ledgerline-data/cfpb-complaint-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ledgerline-data/cfpb-complaint-extractor"
        }
    }
}
```

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/Bg3HpcZmRWaQbzSze/builds/7qddTmXjWOHGKhoIG/openapi.json