We extract building permits, contractor intelligence, project valuations, and solar records from Construction Monitor. 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 Building Permits objects from constructionmonitor.com. All fields typed and schema-versioned.
"permit_number": "BP-2026-04192", "issue_date": "2026-05-10", "county": "Maricopa", "state": "AZ", "project_type": "New Commercial", "valuation": 4500000, "square_footage": 12500, "status": "Issued"
| # | permit_number | issue_date | county | state | project_type | valuation |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contractor Leads objects from constructionmonitor.com. All fields typed and schema-versioned.
"contractor_name": "Apex Builders LLC", "license_number": "ROC-319204", "phone": "480-555-0192", "contact_person": "James Holden", "business_type": "General Contractor", "active_permits": 14, "total_valuation": 12400000
| # | contractor_name | license_number | phone | address | contact_person | business_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Property Owners objects from constructionmonitor.com. All fields typed and schema-versioned.
"owner_name": "Desert Holdings Group", "owner_address": "100 E Taylor St, Phoenix, AZ 85004", "property_type": "Commercial", "parcel_number": "112-04-019B", "subdivision": "Downtown Core", "zoning_code": "C-2"
| # | owner_name | owner_address | owner_phone | property_type | parcel_number | subdivision |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Solar Installations objects from constructionmonitor.com. All fields typed and schema-versioned.
"permit_number": "SOL-26-0891", "installer_name": "SunPower Direct", "kw_capacity": 8.5, "panel_count": 22, "project_valuation": 24500, "issue_date": "2026-05-11", "roof_type": "Tile"
| # | permit_number | installer_name | kw_capacity | panel_count | inverter_type | roof_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Commercial Projects objects from constructionmonitor.com. All fields typed and schema-versioned.
"project_name": "Camelback Medical Plaza", "developer_name": "Healthcare Realty Trust", "architect_name": "Smith & Associates", "building_use": "Medical Office", "stories": 4, "total_units": 12, "valuation": 18500000
| # | project_name | developer_name | architect_name | building_use | stories | total_units |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the complex pagination and state/county dropdown structures of Construction Monitor. We normalise inconsistent permit formats into clean, queryable tables.
Extract permit numbers, issue dates, descriptions, valuations, and square footage across all available counties and states.
Capture contractor names, license numbers, contact details, and historical permit volume to identify high-value leads.
Isolate solar permits to track installation capacity, panel counts, and dominant installers in specific regions.
Categorise projects by building type, unit count, and zoning codes to segment your market analysis.
Raw permit addresses are often malformed. We parse and standardise street, city, state, and ZIP code fields.
Clean and convert string-based project valuations into strict numeric types for immediate aggregation.
Standardise issue dates, expiration dates, and estimated completion dates into ISO 8601 format.
Automated traversal of Construction Monitor's state and county selection menus to ensure complete geographic coverage.
Run pipelines weekly or monthly to capture new permits as soon as they are indexed by the platform.
Brief in. Clean data out.
Provide your target states, counties, and project types. We design the extraction schema together.
We configure Scrapy crawlers, handle form submissions, and manage session cookies for constructionmonitor.com.
Schema validation, null-rate checks, and address standardisation tests before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting public records data from aggregators requires handling inconsistent schemas and deep pagination. Here is how we maintain data quality.
Construction Monitor gates data behind complex search forms. Our crawlers automate the selection of states, counties, and date ranges, ensuring no geographic region is missed during a full export.
Search results for high-volume counties often span hundreds of pages. We maintain persistent cookie sessions and handle mid-crawl rate limits to ensure complete extraction of all permit records.
Because Construction Monitor aggregates data from thousands of local municipalities, field formats vary wildly. We apply regex patterns to normalise addresses, license numbers, and valuation strings before delivery.
We maintain a hash index of previously scraped permit numbers. Subsequent runs only extract and deliver new or modified permits, reducing your ingest costs and processing time.
If a specific county changes its reporting format and drops from the index, our anomaly detection catches the volume dip immediately. We adjust selectors before you miss a week of leads.
Plumbing, electrical, and HVAC companies track new general contractor permits to bid on active commercial and residential projects.
Lumber yards and equipment rental firms identify large scale developments to pitch materials directly to the project owners.
Investors monitor permit density and project valuations to identify gentrifying neighbourhoods and emerging commercial corridors.
Manufacturers track the volume of specific permit types to calculate regional market share for roofing, pool, or solar installations.
Solar hardware distributors monitor installation permits to identify top performing local installers for partnership opportunities.
Hedge funds and analysts ingest permit valuations as a leading indicator of regional economic health and construction sector growth.
"Construction Monitor holds the ground truth for US building activity, but extracting cross-county permit data requires heavy pagination and address normalisation."
Aggregating permit data across thousands of county jurisdictions means dealing with inconsistent schemas, heavy pagination, and strict rate limits. DataFlirt normalises this chaos into structured tables so your analysts can focus on market trends rather than writing custom parsers.
Everything supported by our constructionmonitor.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.
Scrapy manages the crawl queue and deduplication. Playwright handles complex search form submissions and session cookies required by the platform.
We route requests through US based residential proxies to avoid rate limits and geo-blocks while paginating through thousands of county records.
Airflow schedules weekly or daily runs. Data is processed on AWS ECS, stored in Postgres, and validated before delivery.
Data delivered to where your team already works — no new tooling required.
About constructionmonitor.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available permit data is generally permissible. Construction Monitor aggregates public municipal records. We extract only public facing fields and do not bypass authentication walls without explicit client credentials. Clients should review Terms of Service and consult legal counsel.
Yes. We segment searches by strict date ranges and sub-counties to ensure the total results per query stay below the platform's pagination display limits, guaranteeing 100% coverage.
Yes. Because municipal data is messy, we apply parsing logic to split raw address strings into structured street, city, state, and ZIP code fields for easier mapping.
Most clients opt for weekly deliveries, as permit data reporting at the municipal level typically follows a weekly cadence. Daily runs are possible for high-velocity counties.
Absolutely. We can configure the pipeline to only extract permits matching specific keywords, project types, or valuation thresholds to save on processing costs.
Yes. We offer a sample extract of a specific county and date range so you can validate the schema and normalisation logic before signing an agreement.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical dump of all commercial permits in Texas or a weekly feed of solar installations in California, we build and operate the pipeline. Tell us what you need.
