We extract grant notices, public health directives, Medicare updates, and research publications from hhs.gov. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Grant Announcements objects from hhs.gov. All fields typed and schema-versioned.
"grant_id": "HHS-2024-ACF-OHS-CH-R01", "agency": "Administration for Children and Families", "title": "Early Head Start Expansion", "open_date": "2024-01-15", "close_date": "2024-03-31", "award_floor": 1000000, "award_ceiling": 5000000, "eligibility": "State governments, Native American tribal organizations"
| # | grant_id | agency | title | open_date | close_date | award_floor |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Policy Updates objects from hhs.gov. All fields typed and schema-versioned.
"policy_id": "CMS-4201-F", "issuing_agency": "Centers for Medicare & Medicaid Services", "publication_date": "2024-04-05", "effective_date": "2024-06-05", "title": "Medicare Advantage and Part D Final Rule", "summary": "Updates to Medicare Advantage organization requirements.", "pdf_url": "https://www.hhs.gov/sites/default/files/cms-4201-f.pdf", "federal_register_link": "https://federalregister.gov/d/2024-07105"
| # | policy_id | issuing_agency | publication_date | effective_date | title | summary |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Press Releases objects from hhs.gov. All fields typed and schema-versioned.
"release_id": "PR-2024-089", "date": "2024-05-12", "title": "HHS Announces New Cybersecurity Task Force", "agency": "Office of the Secretary", "location": "Washington, D.C.", "body_text": "The Department of Health and Human Services today announced...", "quotes": "['This initiative will protect patient data across the sector.']", "url": "https://www.hhs.gov/about/news/2024/05/12/hhs-announces-cybersecurity.html"
| # | release_id | date | title | agency | location | body_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Public Health Directives objects from hhs.gov. All fields typed and schema-versioned.
"directive_id": "PH-DIR-24-02", "category": "Infectious Disease", "issue_date": "2024-02-18", "status": "Active", "title": "Updated Respiratory Virus Guidance", "summary": "Consolidated guidance for COVID-19, flu, and RSV.", "target_audience": "Healthcare Providers, General Public", "pdf_link": "https://www.hhs.gov/guidance/respiratory-2024.pdf"
| # | directive_id | category | issue_date | status | title | summary |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for FOIA Logs objects from hhs.gov. All fields typed and schema-versioned.
"request_id": "FOIA-2024-00124", "date_received": "2024-01-10", "requester_name": "Jane Doe", "organization": "Health Policy Institute", "description": "Records pertaining to the 2023 Medicare drug negotiation program.", "status": "Closed", "resolution_date": "2024-03-15", "documents_released": 45
| # | request_id | date_received | requester_name | organization | description | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Government websites present unique challenges: legacy HTML, nested PDFs, and fragmented agency subdomains. Our pipeline handles the extraction, normalisation, and delivery of HHS data.
Extract open, forecasted, and closed grant announcements across all HHS operating divisions with funding ceilings and eligibility criteria.
Monitor Medicare, Medicaid, and FDA policy updates, capturing effective dates, summaries, and full text from agency announcements.
Extract structured text and tables directly from embedded PDF reports, guidance documents, and Federal Register notices.
Scrape data uniformly across CDC, FDA, NIH, CMS, and other HHS sub-agencies, normalising the output into a single schema.
Backfill your database with historical press releases, FOIA logs, and policy decisions dating back to the required baseline.
Configure webhooks to receive immediate notifications when specific keywords or high-value grant opportunities are published.
Track Freedom of Information Act requests and resolutions to monitor industry research trends and competitor inquiries.
Identify silent updates to existing guidance documents and policy pages with daily hash-based diffing.
Clean and format dates, funding amounts, and agency names into standard warehouse-ready types.
Brief in. Clean data out.
Specify target agencies, document types, or specific policy sections on hhs.gov. We map the required schema.
We configure crawlers to handle legacy government DOM structures, PDF extraction, and pagination.
Schema validation, null-rate checks, and date-format standardisation before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on an agreed daily or hourly schedule.
Extracting data from federal sites requires handling inconsistent web standards and document-heavy structures. Here is how we maintain reliable pipelines.
Much of HHS policy is published as unstructured PDFs. Our pipeline includes automated PDF text extraction and OCR capabilities, pulling tables and clauses into structured JSON fields rather than just providing download links.
Government sites often rely on legacy HTML structures that change without notice. We deploy multi-layered selectors and fallback chains to ensure data extraction continues even when the presentation layer shifts.
HHS comprises multiple agencies (CDC, FDA, CMS) with distinct web architectures. We normalise these disparate sources into a single, queryable schema for your warehouse.
Federal domains monitor traffic closely. We implement strict concurrency limits, IP rotation, and respectful request headers to maintain access without triggering firewall blocks.
Agencies sometimes update guidance documents without changing the publication date. Our hash-based diffing detects these silent modifications and pushes the updated records to your pipeline.
Compliance officers track CMS and FDA regulatory updates to ensure hospital systems and pharmaceutical companies adhere to new federal guidelines.
Research institutions and non-profits monitor HHS and NIH funding opportunities to optimise their grant application pipelines.
Pharma and medical device companies analyse Medicare coverage decisions and reimbursement policies to forecast market viability.
Health economists and public health researchers aggregate historical policy data and clinical trial logs for longitudinal studies.
Law firms track administrative law judge decisions, FOIA logs, and enforcement actions to advise healthcare clients.
Machine learning teams ingest federal health guidelines and policy documents to train domain-specific language models.
"The Department of Health and Human Services publishes the regulatory framework for a multi-trillion dollar industry, but accessing it programmatically requires constant pipeline maintenance."
Most teams underestimate the investment required to normalise government data. Extracting structured information from hhs.gov means parsing thousands of PDFs, navigating legacy DOM structures, and handling inconsistent agency sub-domains. DataFlirt absorbs that complexity so your engineers can focus on analysis, not infrastructure maintenance.
Everything supported by our hhs.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.
Pipelines integrate Python-based OCR and PDF parsing libraries to convert unstructured federal documents into clean, typed JSON fields.
Scrapy spiders are configured with fallback selectors to handle the inconsistent HTML structures prevalent across different government agency subdomains.
Airflow schedules daily or hourly crawls, managing rate limits and retry logic to ensure reliable data delivery without overloading federal servers.
Data delivered to where your team already works — no new tooling required.
About hhs.gov scraping, legality, and pipeline operations.
Ask us directly →Yes. DataFlirt extracts only publicly available information such as press releases, policy guidelines, and public grant announcements. We do not bypass authentication walls or access confidential systems, ensuring compliance with standard web scraping legal precedents.
Yes. Our pipeline includes automated PDF parsing and OCR capabilities to extract text, dates, and tables from government documents and Federal Register notices.
Yes. We configure crawlers for the main hhs.gov domain as well as sub-agencies like CMS, FDA, NIH, CDC, and ACF, normalising the data into a unified schema.
Pipelines can be configured for daily, weekly, or hourly runs depending on your requirements. Most clients opt for a daily refresh to capture new policy announcements and grant postings.
Yes. We use hash-based change detection to identify when a previously published guidance document or policy page has been updated, delivering a diff of the changes.
Yes. During the pipeline setup phase, we can perform a historical backfill to extract archived press releases, policies, and FOIA logs up to the limits available on the target site.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking government websites. We build and maintain the infrastructure to deliver structured HHS data directly to your warehouse.
