# CFPB Consumer Complaints Scraper (`scrapers_lat/cfpb-complaints-scraper`) Actor
Scrape the US CFPB consumer complaints database by company, product, issue, state and date. Get company, product and sub-product, issue and sub-issue, dispute outcome, company response and the consumer complaint narrative. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/cfpb-complaints-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Developer tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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
## CFPB Consumer Complaints Scraper
> Pull complaints from the US Consumer Financial Protection Bureau database by company, product, issue, state and date. Get the full complaint record, including the dispute outcome and the consumer's own narrative, as clean structured data for compliance, research and reputation monitoring.
By company & product filter and compare
Resolution outcomes plus consumer narratives
JSON / CSV / Excel output formats
### What you get
Each record is one published consumer complaint, ready for a dashboard, a risk model or a spreadsheet:
- **complaintId** and **url**: the complaint identifier and a direct link
- **company**: the company the complaint is about
- **product** and **subProduct**: the financial product involved
- **issue** and **subIssue**: what the complaint is about
- **state** and **zipCode**: consumer location
- **dateReceived**, **dateSentToCompany**: timeline
- **submittedVia**: how it was submitted (web, phone, referral, and more)
- **companyResponse**: the resolution (for example "Closed with explanation")
- **timelyResponse**: whether the company responded on time
- **consumerDisputed**: whether the consumer disputed the response
- **companyPublicResponse**: the company's optional public statement
- **tags**: special flags such as Servicemember or Older American
- **hasNarrative** and **consumerComplaintNarrative**: the consumer's own free-text account, when they chose to publish it
- **observedAt**: when the record was collected
### Who is it for
| Use case | Who benefits |
|---|---|
| Compliance and risk | Teams tracking complaint volume, issues and resolution rates by company |
| Due diligence | Analysts screening lenders, banks and fintechs before a deal |
| Reputation monitoring | Brands watching what consumers say about them and their competitors |
| Research and journalism | Reporters and academics studying consumer finance trends |
### How to use it
1. Optionally set a **company**, **product**, **state** or **search keyword** to focus the results.
2. Set a **date window** (defaults to the last 180 days) and a **sort order**.
3. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**How do I filter to one company?**
Enter the company name exactly as it is registered (for example `Experian Information Solutions Inc.`). If you are not sure of the exact name, use a search keyword instead, then read the `company` field on the results.
**Do all complaints include the narrative?**
No. The narrative is only present when the consumer chose to publish their story. Use the `hasNarrative` field to keep only complaints that include one.
**Which products can I filter by?**
Common categories include credit reporting, debt collection, credit cards, checking or savings accounts, mortgages, money transfers, vehicle loans, student loans, payday and personal loans, prepaid cards, and debt or credit management.
**How fresh is the data?**
Complaints are read at run time and default to the last 180 days. Widen the date window to pull historical complaints back to when the database began.
### Related scrapers
- [SEC EDGAR Filings Scraper](https://apify.com/scrapers_lat/sec-edgar-scraper)
- [Yahoo Finance Scraper](https://apify.com/scrapers_lat/yahoo-finance-scraper)
- [Trustpilot Reviews Scraper](https://apify.com/scrapers_lat/trustpilot-reviews-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with the Consumer Financial Protection Bureau. It only accesses publicly available complaint data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxComplaints` (type: `integer`):
Maximum number of complaints to collect.
## `searchTerm` (type: `string`):
Optional. Full-text search across complaints (for example 'overdraft fee', 'identity theft', 'foreclosure'). Leave empty to browse all complaints in the date window.
## `company` (type: `string`):
Optional. Filter to one company. Must match the exact registered name as stored, for example 'Experian Information Solutions Inc.' or 'NAVY FEDERAL CREDIT UNION'. Leave empty for all companies.
## `product` (type: `string`):
Optional. Filter to one financial product category.
## `state` (type: `string`):
Optional. Two-letter US state or territory code (for example 'CA', 'TX', 'NY').
## `dateReceivedMin` (type: `string`):
Optional. Only complaints received on or after this date. If left empty, defaults to the last 180 days.
## `dateReceivedMax` (type: `string`):
Optional. Only complaints received on or before this date.
## `sortBy` (type: `string`):
Order the complaints returned.
## Actor input object example
```json
{
"maxComplaints": 30,
"product": "",
"sortBy": "newest"
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxComplaints": 30
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/cfpb-complaints-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "maxComplaints": 30 }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/cfpb-complaints-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 '{
"maxComplaints": 30
}' |
apify call scrapers_lat/cfpb-complaints-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/cfpb-complaints-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "CFPB Consumer Complaints Scraper",
"description": "Scrape the US CFPB consumer complaints database by company, product, issue, state and date. Get company, product and sub-product, issue and sub-issue, dispute outcome, company response and the consumer complaint narrative. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "OmzhPoKrmy20tcB7g"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~cfpb-complaints-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-cfpb-complaints-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~cfpb-complaints-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-cfpb-complaints-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~cfpb-complaints-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-cfpb-complaints-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"maxComplaints": {
"title": "Max complaints",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of complaints to collect."
},
"searchTerm": {
"title": "Search keyword",
"type": "string",
"description": "Optional. Full-text search across complaints (for example 'overdraft fee', 'identity theft', 'foreclosure'). Leave empty to browse all complaints in the date window."
},
"company": {
"title": "Company name",
"type": "string",
"description": "Optional. Filter to one company. Must match the exact registered name as stored, for example 'Experian Information Solutions Inc.' or 'NAVY FEDERAL CREDIT UNION'. Leave empty for all companies."
},
"product": {
"title": "Product",
"enum": [
"",
"Credit reporting or other personal consumer reports",
"Debt collection",
"Credit card",
"Checking or savings account",
"Mortgage",
"Money transfer, virtual currency, or money service",
"Vehicle loan or lease",
"Student loan",
"Payday loan, title loan, personal loan, or advance loan",
"Prepaid card",
"Debt or credit management"
],
"type": "string",
"description": "Optional. Filter to one financial product category.",
"default": ""
},
"state": {
"title": "State",
"type": "string",
"description": "Optional. Two-letter US state or territory code (for example 'CA', 'TX', 'NY')."
},
"dateReceivedMin": {
"title": "Received on or after (YYYY-MM-DD)",
"type": "string",
"description": "Optional. Only complaints received on or after this date. If left empty, defaults to the last 180 days."
},
"dateReceivedMax": {
"title": "Received on or before (YYYY-MM-DD)",
"type": "string",
"description": "Optional. Only complaints received on or before this date."
},
"sortBy": {
"title": "Sort by",
"enum": [
"newest",
"oldest",
"relevance"
],
"type": "string",
"description": "Order the complaints returned.",
"default": "newest"
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```