We extract contractor directories, building permits, BuildZoom Scores, and license verifications. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Contractor Profiles objects from buildzoom.com. All fields typed and schema-versioned.
"name": "Apex Construction", "bz_score": 104, "location": "San Francisco, CA", "year_founded": 1998, "license_status": "Active", "specialties": "['Roofing', 'Remodeling']"
| # | contractor_id | name | bz_score | location | phone | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Building Permits objects from buildzoom.com. All fields typed and schema-versioned.
"permit_id": "BPA-2023-0912", "city": "Austin", "state": "TX", "issue_date": "2025-08-14", "status": "Finaled", "valuation": 145000, "description": "Kitchen remodel and structural beam installation"
| # | permit_id | address | city | state | zip | issue_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for License Verification objects from buildzoom.com. All fields typed and schema-versioned.
"license_number": "C-482910", "state": "CA", "license_type": "General Building", "status": "Active", "expiration_date": "2027-12-31", "bond_status": "Verified"
| # | license_number | state | license_type | status | issue_date | expiration_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Project Histories objects from buildzoom.com. All fields typed and schema-versioned.
"project_id": "PRJ-99214", "contractor_id": "BZ-8812", "project_type": "Commercial Buildout", "completion_date": "2024-11-20", "estimated_cost": 450000, "property_type": "Retail"
| # | project_id | contractor_id | property_address | project_type | completion_date | estimated_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from buildzoom.com. All fields typed and schema-versioned.
"review_id": "RVW-4412", "rating": 5.0, "review_text": "Completed the foundation repair ahead of schedule.", "author": "J. Smith", "date": "2025-01-15", "verified_client": true
| # | review_id | contractor_id | rating | review_text | author | date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our BuildZoom scraper navigates regional directories, permit databases, and contractor profiles to extract structured construction data. We handle pagination, bot mitigation, and schema mapping.
Extract contractor names, contact details, specialties, and service areas.
Capture permit dates, valuations, descriptions, and jurisdiction data across millions of properties.
Monitor BZ Score changes over time to identify trending contractors.
Extract state license numbers, expiration dates, and bond statuses.
Map contractors to specific properties and project types using permit histories.
Collect client reviews, star ratings, and verified project details.
Crawl contractor directories by state, city, and trade category systematically.
Extract property types, square footage, and historical permit records.
Run delta pipelines to capture new permits and license status changes daily or weekly.
Brief in. Clean data out.
Provide target cities, trades, or contractor URLs. We design the extraction schema.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management.
Schema validation, null-rate checks, and data typing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Extracting permit and contractor data at scale requires bypassing rate limits and handling complex search interfaces.
BuildZoom employs strict rate limiting and IP blocks. We use US residential proxies with randomized request intervals to bypass blocks.
Permit details and dynamic charts require full Playwright browser sessions to render correctly.
Directory results are heavily paginated. We manage deep traversal without losing session state.
Permit formats vary wildly by jurisdiction. We normalise dates, valuations, and statuses into a consistent schema.
Track new permits and license expirations by diffing against historical runs.
Material suppliers and software vendors target contractors based on recent permit activity and project volume.
Analysts track regional construction trends, permit valuations, and trade demand.
Insurance providers and lenders verify contractor licenses, bond statuses, and project histories.
Contracting firms monitor competitor project wins and service area expansion.
Investors model property values based on historical permit data and renovation histories.
General contractors identify specialised trades with active licenses and high BZ Scores.
"BuildZoom aggregates the most fragmented dataset in the US: local building permits. We turn that chaos into queryable rows."
Extracting construction data means dealing with inconsistent permit formats, aggressive rate limits, and deep directory structures. DataFlirt manages the residential proxies, JavaScript rendering, and schema normalisation so you get clean, structured data ready for analysis.
Everything supported by our buildzoom.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Orchestrates crawls, handles JS rendering, and manages retries.
US residential pools to bypass geo-blocks and rate limits.
AWS Lambda and ECS for scalable execution, managed by Airflow.
Data delivered to where your team already works — no new tooling required.
About buildzoom.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public contractor profiles and permit data is generally permissible. We do not extract private documents or bypass authentication.
We use US residential proxies and control request concurrency to mimic normal user behaviour.
Yes, we capture the full permit history available on a property or contractor profile.
We support daily, weekly, or monthly runs depending on your requirements.
Yes, we extract raw strings and convert them into structured numeric types where possible.
We start with defined target regions or trades, typically covering thousands of profiles.
20-minute scoping call. Pilot dataset within the week. Production within two. Get structured contractor and permit data delivered to your warehouse. Tell us your target regions and trades.
