We extract facility emissions, enforcement records, chemical registries, and air quality metrics from EPA.gov databases. 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 ECHO Compliance objects from epa.gov. All fields typed and schema-versioned.
"facility_id": "110000345678", "registry_id": "110000345678", "facility_name": "INDUSTRIAL MANUFACTURING CORP", "violation_status": "Significant Violation", "penalty_amount": 25000.0, "last_inspection_date": "2023-11-14", "state": "OH"
| # | facility_id | registry_id | facility_name | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for TRI Emissions objects from epa.gov. All fields typed and schema-versioned.
"tri_facility_id": "44114NDSTR12345", "chemical_name": "TOLUENE", "cas_number": "108-88-3", "release_year": 2022, "air_emissions_lbs": 1450.5, "total_releases": 1600.5, "primary_naics": "325199"
| # | tri_facility_id | chemical_name | cas_number | release_year | air_emissions_lbs | water_discharges_lbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Superfund Sites objects from epa.gov. All fields typed and schema-versioned.
"site_id": "0501234", "epa_id": "OHD980509657", "site_name": "RIVER VALLEY LANDFILL", "npl_status": "Currently on the Final NPL", "listing_date": "1983-09-08", "cleanup_status": "Construction Complete", "region": "05"
| # | site_id | epa_id | site_name | npl_status | listing_date | human_health_exposure |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Air Quality (AQI) objects from epa.gov. All fields typed and schema-versioned.
"monitor_id": "39-035-0038", "cbsa_name": "Cleveland-Elyria, OH", "parameter_name": "Ozone", "aqi_value": 45, "aqi_category": "Good", "observation_time": "2023-08-12T14:00:00Z", "pollutant_standard": "Ozone 8-hour 2015"
| # | monitor_id | cbsa_name | parameter_name | aqi_value | aqi_category | observation_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for TSCA Registry objects from epa.gov. All fields typed and schema-versioned.
"substance_name": "Benzene", "cas_rn": "71-43-2", "epa_registry_id": "110000000000", "active_status": "Active", "regulatory_flags": "['SNUR', 'TRI']", "hazard_classification": "Carcinogen", "manufacturer_count": 42
| # | substance_name | cas_rn | epa_registry_id | active_status | regulatory_flags | hazard_classification |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our EPA scraper handles fragmented portals: ECHO, TRI, Envirofacts, and AQS. We normalise legacy schemas, parse nested PDFs, and map facility IDs across disparate federal systems.
Extract facility inspection histories, violation statuses, enforcement actions, and penalty amounts across all environmental statutes.
Track toxic chemical releases to air, water, and land by facility, parent company, and NAICS code.
Monitor site cleanup progress, human health exposure indicators, and operable unit statuses for CERCLA sites.
Capture hourly AQI readings, pollutant concentrations, and meteorological data from AirNow and AQS monitoring stations.
Scrape substance registries, active/inactive statuses, and regulatory flags for chemical manufacturing compliance.
Extract structured text and tables from scanned enforcement documents and environmental permits using OCR.
Normalise coordinate projections and polygon boundaries for facilities, water bodies, and non-attainment areas.
Link records across TRI, RCRA, and CAA databases using the EPA Facility Registry Service (FRS) ID.
Extract facility-level CO2e emissions data from the GHGRP database for ESG and carbon accounting.
Run one-off historical exports or configure continuous pipelines for daily compliance updates.
Brief in. Clean data out.
Provide facility IDs, state codes, NAICS categories, or chemical names. We design the extraction schema together.
We configure crawlers to handle EPA legacy APIs, rate limits, and PDF parsing infrastructure.
Schema validation, FRS ID integrity checks, and null-rate monitoring before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
EPA.gov relies on fragmented legacy databases, heavy PDF payloads, and inconsistent API schemas. Here is how we maintain pipeline stability.
EPA APIs often return mixed types, undocumented nulls, and nested XML structures. We enforce strict data typing and normalise responses into clean, relational JSON before delivery.
A single factory might have different IDs in the air, water, and hazardous waste databases. We map all subsystem IDs back to the master FRS registry ID to provide a unified view of a facility.
Many enforcement actions and permits are only available as scanned PDFs. We route these payloads through our Tesseract OCR cluster to extract violation dates, penalty amounts, and regulatory text.
Government servers frequently drop connections under load. Our distributed crawlers respect `robots.txt` crawl delays, implement exponential backoff, and use proxy rotation to avoid IP bans during large historical backfills.
Public endpoints change without notice. We hash API response schemas and trigger alerts on structural drift, allowing our engineers to patch extraction logic before corrupted data reaches your warehouse.
Financial institutions and corporate sustainability teams aggregate TRI and GHGRP data to audit Scope 1 and Scope 2 emissions.
Commercial real estate firms query Superfund and brownfield registries to assess environmental liabilities before acquisition.
Procurement teams track supplier facilities in the ECHO database to flag environmental violations and compliance risks.
Non-profits and academic researchers overlay demographic data with facility emissions footprints to study disproportionate health impacts.
Alternative data teams ingest enforcement penalties and chemical production volumes to model regulatory risk for publicly traded manufacturers.
Consultancies analyse TSCA chemical registries and production volumes to forecast shifts in industrial chemical supply chains.
"EPA data is public but heavily fragmented across legacy portals. Normalising facility records across ECHO, TRI, and TSCA requires dedicated infrastructure."
Government endpoints frequently suffer from undocumented schema changes, aggressive rate limiting, and multi-gigabyte static file dumps. DataFlirt abstracts this unreliability. We normalise FRS IDs across all EPA subsystems, parse compliance PDFs into structured text, and deliver clean, relational data directly to your warehouse.
Everything supported by our epa.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.
We map SOAP XML, fragmented CSV dumps, and legacy JSON endpoints into a unified relational schema using Python data validation pipelines.
Documents are routed to a Kubernetes cluster running Tesseract OCR and spatial layout analysis to extract tables from unstructured permits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About epa.gov scraping, legality, and pipeline operations.
Ask us directly →Yes. Environmental data published on EPA.gov is in the public domain and funded by taxpayers. We strictly extract publicly available records and do not attempt to bypass authentication for internal government systems or access Confidential Business Information (CBI).
We use the EPA Facility Registry Service (FRS). This master index assigns a unique FRS ID to each physical site. We map program-specific IDs (like TRI or RCRA IDs) back to the FRS ID to provide a unified, deduplicated view of a facility.
Yes. We run an OCR pipeline using Tesseract to convert scanned enforcement documents and permits into searchable text, allowing us to extract violation dates, penalty amounts, and specific regulatory clauses.
Air quality data from AirNow is polled hourly. We can configure streaming pipelines to deliver these updates to your webhook or database with sub-5-minute latency after the EPA publishes them.
Yes. We can perform full historical backfills of the CERCLIS/NPL databases, capturing listing dates, cleanup milestones, and deletion records spanning decades.
Our minimum engagement typically starts with a defined facility list (e.g., 5,000 specific factories) or a complete historical dump of a single dataset like TRI. We price based on data volume, update frequency, and schema complexity.
Yes. Many enforcement actions are handled by state agencies (e.g., TCEQ in Texas, CalEPA in California) before reaching federal databases. We can build custom pipelines to scrape state-level portals and normalise the data into the federal schema.
Absolutely. We provide a sample run of up to 500 facility records or a subset of historical emissions data during the scoping process. This allows your engineering team to validate schema fit and data completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of enforcement actions or a historical dump of TRI emissions across 50 states, we scope, build, and operate the pipeline. Tell us what you need.
