We extract enforcement cases, warning letters, HSR early termination notices, and public dockets from ftc.gov. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Enforcement Actions objects from ftc.gov. All fields typed and schema-versioned.
"case_name": "Epic Games, Inc.", "case_number": "1923203", "date_filed": "2023-02-07", "matter_type": "Consumer Protection", "industry": "Technology", "status": "Settled", "court": "Federal District Court"
| # | case_name | case_number | date_filed | matter_type | industry | defendants |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Warning Letters objects from ftc.gov. All fields typed and schema-versioned.
"company_name": "HealthCorp Solutions", "issue_date": "2024-01-15", "letter_id": "WL-2024-001", "violation_type": "Deceptive Advertising", "response_deadline": "2024-01-30", "pdf_url": "https://www.ftc.gov/system/files/warning-letters/wl-2024-001.pdf"
| # | company_name | issue_date | letter_id | recipient | subject | violation_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for HSR Early Terminations objects from ftc.gov. All fields typed and schema-versioned.
"transaction_number": "20240182", "date_cleared": "2024-03-12", "acquiring_party": "Alpha Holdings LLC", "acquired_party": "Beta Technologies Inc", "industry_code": "511210", "clearance_type": "Granted"
| # | transaction_number | date_cleared | acquiring_party | acquired_party | target_entity | industry_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Public Comments objects from ftc.gov. All fields typed and schema-versioned.
"docket_id": "FTC-2023-0042", "comment_id": "FTC-2023-0042-0193", "submitter_name": "Jane Doe", "organization": "Consumer Rights Group", "date_submitted": "2023-11-05", "attachments": "['comment_brief.pdf']"
| # | docket_id | comment_id | submitter_name | organization | date_submitted | comment_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Press Releases objects from ftc.gov. All fields typed and schema-versioned.
"release_id": "PR-2024-089", "title": "FTC Takes Action Against Deceptive Marketer", "date_issued": "2024-04-10", "bureau": "Consumer Protection", "topics": "['Advertising', 'Health Claims']", "related_cases": "['1923203']"
| # | release_id | title | date_issued | topics | bureau | contact_info |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our ftc.gov scraper navigates federal search interfaces, extracts text from scanned legal filings, and monitors new dockets. We handle the infrastructure so you can focus on compliance and risk analysis.
Capture case dockets, defendants, resolutions, and civil penalty amounts across all FTC bureaus.
Track Hart-Scott-Rodino (HSR) antitrust clearance notices for M&A intelligence and financial modelling.
Automated OCR and text extraction for legal filings, consent orders, and warning letters.
Identify targeted companies, regulatory violations, and response deadlines from official correspondence.
Track comments, rulemaking updates, and workshop materials across all active FTC dockets.
Aggregate scam, fraud, and identity theft statistics published by the Consumer Sentinel Network.
Only emit new or updated case files and dockets, reducing downstream processing load.
Link press releases directly to enforcement actions and underlying legal documentation.
Hourly or daily pipeline runs to feed compliance systems and risk management platforms.
Brief in. Clean data out.
Provide target bureaus, document types, or keyword sets. We design the extraction schema together.
We configure crawlers, PDF parsers, and rate-limit handling for ftc.gov infrastructure.
Schema validation, null-rate checks, and PDF OCR accuracy testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Federal websites present unique extraction challenges. Here is how we build resilient pipelines for government data.
Government websites employ strict IP quotas and anti-DDoS measures via Cloudflare or Akamai. We use distributed US-based residential proxies and polite request pacing to ensure reliable access without triggering security blocks.
A massive volume of FTC enforcement data exists only as scanned PDF documents. Our pipeline includes automated OCR and NLP to extract structured entities like defendants, penalties, and dates from unstructured legal text.
The FTC archives span decades, resulting in inconsistent HTML structures and legacy ASP.NET search interfaces. Our selector strategy uses fallback chains to normalise data across different eras of the website.
Extracting complete dockets requires maintaining complex session states and handling JavaScript-heavy pagination. Playwright handles the interaction flows to ensure zero dropped records.
We maintain a hash index of all known cases and documents. Subsequent runs only extract and deliver new filings or status updates, providing a clean changelog rather than redundant full exports.
Financial analysts track HSR early terminations for real-time merger intelligence and regulatory clearance signals.
Corporate compliance teams ingest warning letters and enforcement actions into risk platforms to monitor industry precedents.
Law firms build searchable, internal databases of FTC enforcement precedents and consent orders.
Machine learning teams train risk models on scam alerts and Consumer Sentinel Network statistics.
Procurement platforms screen suppliers against federal enforcement actions and deceptive practice warnings.
Data providers power financial terminals with real-time FTC press releases and docket updates.
"Regulatory intelligence requires structured data, but federal websites are built for human reading, not machine extraction."
Extracting data from ftc.gov means navigating legacy search interfaces, unstructured PDF filings, and strict government rate limits. DataFlirt handles the extraction, OCR, and normalisation so your compliance teams can focus on risk analysis instead of document retrieval.
Everything supported by our ftc.gov scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Integrated Tesseract OCR and PyPDF2 handle the massive volume of unstructured legal filings, converting scanned images into structured text for downstream NLP.
We maintain pools of US residential ISP proxies. Rotation is tuned to respect federal infrastructure limits, ensuring reliable access without triggering DDoS protections.
Pipelines run on Kubernetes. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres for precise change detection.
Data delivered to where your team already works — no new tooling required.
About ftc.gov scraping, legality, and pipeline operations.
Ask us directly →Yes. The FTC publishes public records, enforcement actions, and press releases for public consumption. DataFlirt extracts only publicly available information, respects robots.txt directives, and strictly avoids any restricted or non-public endpoints.
Our pipeline automatically downloads PDF files linked in dockets or warning letters. We use OCR (Optical Character Recognition) and text extraction libraries to convert the documents into machine-readable text, which is then mapped to structured JSON fields.
Yes. We configure pipelines to poll the HSR early termination notices at high frequency (e.g., hourly) and deliver updates via webhook for immediate analyst review.
Yes. We can perform a full historical backfill of all available enforcement actions and dockets on ftc.gov, followed by daily delta updates to capture new filings.
Depending on the endpoint, we can configure hourly or daily runs. Press releases and HSR notices can be polled frequently, while deep docket crawls typically run on a daily cadence.
We deliver structured data in JSON, CSV, XLS, and Parquet formats. Files can be pushed directly to AWS S3, Snowflake, BigQuery, or delivered via API and Webhook.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical backfill of enforcement actions or real-time HSR tracking — we build and operate the pipeline. Tell us what you need.
