# FTC Enforcement Actions Scraper (`parseforge/ftc-actions-scraper`) Actor
Scrape every FTC enforcement action โ federal court cases, administrative actions, consent orders, refunds and settlements. Get case names, dates, citations, defendants, statutes, press release links and full documents. Perfect for legal research, compliance, and consumer protection journalism.
- **URL**: https://apify.com/parseforge/ftc-actions-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** News, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## 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.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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
## โ๏ธ FTC Cases Scraper
> ๐ **Export FTC enforcement actions, consent orders, and case proceedings in seconds.**
> ๐ **Last updated:** 2026-05-26 ยท **๐ 9 fields** per record ยท **All public FTC cases ยท matter numbers ยท 9 fields per case**
The Federal Trade Commission publishes every public enforcement case, consent order, and matter in its Legal Library. This Actor turns that library into a clean dataset, with one row per case and 9 structured fields covering title, matter number, docket, status, and last update.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| Compliance teams | Track FTC actions in your industry |
| Journalists | Monitor consumer-protection cases |
| Law firms | Build enforcement-trend datasets |
| Researchers | Study antitrust and deceptive-practice trends |
### ๐ What the FTC Cases Scraper does
- Queries the public FTC Cases source and structures the response
- Returns one record per item with 9 normalized fields
- Supports pagination and optional filters
- Outputs to CSV, Excel, JSON, XML via Apify dataset
- Auto-limits to 10 items on the free plan; up to 1,000,000 on paid
> ๐ก **Why it matters:** FTC Cases data is public record. This Actor makes it usable.
### ๐ฌ Full Demo (_๐ง Coming soon_)
### โ๏ธ Input
Field
Type
Description
maxItems
integer
Cap on rows (free: 10)
startPage
integer
Listing page (0 = newest)
```json
{ "maxItems": 50 }
````
```json
{ "maxItems": 200, "startPage": 0 }
```
> โ ๏ธ **Good to Know:** The FTC posts every case publicly. Cases can be updated retroactively as proceedings advance.
### ๐ Output
| Field | Type | Description |
|---|---|---|
| ๐น title | string | Case or matter title |
| ๐น matterNumber | string | FTC matter/file number |
| ๐น docketNumber | string | Court docket number |
| ๐น caseType | string | Type of action |
| ๐น caseStatus | string | Case status (Pending, Closed) |
| ๐น lastUpdated | string | ISO last-updated date |
| ๐น summary | string | Plain-text case summary |
| ๐น url | string | FTC.gov case page URL |
| ๐ scrapedAt | string | ISO timestamp of when the record was collected |
| โ error | string | null | Error message if extraction failed |
### โจ Why choose this Actor
- Direct FTC Cases source, no third-party caching
- Real-time data, never stale
- Pay-per-result pricing; only charged for what you keep
- Works with Make, Zapier, n8n, Airbyte, GitHub Actions, Google Sheets
### ๐ How it compares to alternatives
| Approach | Cost | Maintenance | Coverage |
|---|---|---|---|
| Manual FTC.gov browsing | Free | High | Limited UI |
| News aggregators | $$ | None | Press releases only |
| This actor | Pay per result | None | Full library |
### ๐ How to use
1. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open the Actor page
3. Set `maxItems` and any optional filters
4. Run
5. Download dataset as CSV, Excel, JSON, or XML
### ๐ผ Business use cases
#### Competitor & market intelligence
Track FTC Cases entries relevant to your sector.
#### Compliance monitoring
Spot regulatory or enforcement signals in your industry feed.
#### Lead generation
Use FTC Cases entries as a clean prospect list.
#### Risk & due diligence
Vet counterparties or candidates against the official record.
### ๐ Automating FTC Cases Scraper
Connects with Make, Zapier, n8n, Slack, Airbyte, GitHub Actions, and Google Drive via Apify's standard integrations.
### ๐ Beyond business use cases
#### Research
Academic studies on regulation, public policy, and enforcement trends.
#### Personal
Citizens following developments in their communities.
#### Non-profit
Watchdog organizations and civic-tech projects auditing the record.
#### Experimentation
Train models on labeled regulatory data.
### ๐ค Ask an AI assistant about this scraper
ChatGPT, Claude, Perplexity, or Copilot can explain inputs, sample outputs, and integration patterns.
### โ Frequently Asked Questions
**Q: Is this real-time?** A: Yes. Every run queries FTC.gov directly.
**Q: Does it include closed cases?** A: Yes. All public cases regardless of status are returned.
**Q: Can I filter by industry?** A: Filter by paging into older cases. Industry tagging is on each case page.
**Q: Are PDFs included?** A: Only the case URL is returned. PDFs are linked from the case page.
**Q: What is the matter number?** A: FTC internal file/matter identifier.
**Q: How far back does data go?** A: Decades. Pagination supports historical exploration.
**Q: Is this affiliated with the FTC?** A: No. Independent tool using publicly available data.
**Q: How accurate is the data?** A: Matches what FTC.gov publishes at run time.
**Q: Can I get only competition cases?** A: Use the listing pages and filter by caseType.
**Q: What if the FTC site is slow?** A: Runs may take longer but will complete.
### ๐ Integrate with any app
Make, Zapier, n8n, Slack, Airbyte, GitHub Actions, Google Sheets, Webhooks, REST API.
### ๐ Recommended Actors
| Actor | Description |
|---|---|
| [SEC Litigation Releases Scraper](https://apify.com/parseforge/sec-litigation-releases-scraper) | SEC enforcement actions |
| [USAspending Contracts Scraper](https://apify.com/parseforge/usaspending-contracts-scraper) | Federal contract awards |
| [FDA Warning Letters Scraper](https://apify.com/parseforge/fda-warning-letters-scraper) | FDA enforcement letters |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).
**๐ Need Help?** [Open our contact form](https://tally.so/r/BzdKgA)
> **โ ๏ธ Disclaimer:** independent tool, not affiliated with the FTC Cases source agency or any government. Only publicly available data collected.
# Actor input Schema
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## `startPage` (type: `integer`):
Listing page to start at (0 = newest).
## Actor input object example
```json
{
"maxItems": 10,
"startPage": 0
}
```
# 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 = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/ftc-actions-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("parseforge/ftc-actions-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call parseforge/ftc-actions-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/ftc-actions-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "FTC Enforcement Actions Scraper",
"description": "Scrape every FTC enforcement action โ federal court cases, administrative actions, consent orders, refunds and settlements. Get case names, dates, citations, defendants, statutes, press release links and full documents. Perfect for legal research, compliance, and consumer protection journalism.",
"version": "0.1",
"x-build-id": "6H2EKEqWAwGURghqs"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~ftc-actions-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-ftc-actions-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~ftc-actions-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-ftc-actions-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~ftc-actions-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-ftc-actions-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
},
"startPage": {
"title": "Start Page",
"minimum": 0,
"maximum": 500,
"type": "integer",
"description": "Listing page to start at (0 = newest).",
"default": 0
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```