We extract contractor profiles, trade specialties, service areas, and App Marketplace integrations from Procore. Delivered as clean JSON, CSV, or Parquet to S3, Postgres, or via Webhook.
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 procore.com. All fields typed and schema-versioned.
"company_name": "Apex Construction Group", "procore_url": "https://network.procore.com/companies/apex-construction", "website": "https://apexconstruction.example.com", "phone": "+1-555-0198", "headquarters_location": "Austin, TX", "company_size": "51-200 employees", "year_founded": 1998
| # | company_name | procore_url | website | phone | headquarters_location | specialties |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Specialties objects from procore.com. All fields typed and schema-versioned.
"specialty_id": "TS-09250", "category": "Finishes", "sub_category": "Gypsum Board", "division_code": "09", "description": "Drywall and gypsum board installation", "active_contractors": 1420, "region": "North America"
| # | specialty_id | category | sub_category | division_code | description | active_contractors |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Service Areas objects from procore.com. All fields typed and schema-versioned.
"company_id": "COMP-88472", "region": "Southwest", "state": "Texas", "city": "Dallas", "radius_miles": 150, "primary_location": true, "office_address": "100 Main St, Dallas, TX 75201"
| # | company_id | region | state | city | zip_codes | radius_miles |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Marketplace Apps objects from procore.com. All fields typed and schema-versioned.
"app_id": "APP-4021", "app_name": "DocuSign for Procore", "developer": "DocuSign", "category": "Document Management", "rating": 4.8, "review_count": 312, "install_url": "https://marketplace.procore.com/apps/docusign"
| # | app_id | app_name | developer | category | description | install_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for App Reviews objects from procore.com. All fields typed and schema-versioned.
"review_id": "REV-99381", "app_id": "APP-4021", "reviewer_name": "Sarah Jenkins", "company_name": "BuildRight General Contractors", "rating": 5, "date_posted": "2023-11-14", "helpful_votes": 24
| # | review_id | app_id | reviewer_name | company_name | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Procore scraper navigates the Construction Network directory and App Marketplace, managing pagination, dynamic loading, and rate limits to deliver structured vendor and integration data.
Extract company profiles, contact details, and headquarters locations from the Procore Construction Network.
Map contractors to specific CSI divisions and sub-categories to build targeted vendor lists.
Extract geographical coverage areas and operational radii for regional subcontractors.
Scrape the Procore App Marketplace for integration details, developer information, and supported features.
Extract user reviews for marketplace integrations, capturing ratings, text, and reviewer metadata.
Track vendor details, support links, and privacy policy URLs for third-party software providers.
Extract public license numbers and certification claims listed on contractor profiles.
Navigate complex infinite scrolls and JavaScript-rendered directory pages automatically.
Ensure data integrity with strict type checking and null-rate monitoring before delivery.
Brief in. Clean data out.
Provide target regions, trade specialties, or marketplace categories. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for procore.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, Postgres database, or via Webhook on an agreed cadence.
Extracting B2B directory data requires handling strict rate limits and complex DOM structures. Here is how we maintain pipeline stability.
B2B directories deploy aggressive rate limiting to protect their proprietary graphs. We use residential ISP proxies with realistic browser fingerprints and randomised request timing to distribute request load.
Procore directory pages and marketplace listings rely heavily on client-side rendering. We run full Playwright browser sessions to execute JavaScript and trigger lazy-loaded content.
Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and text-pattern matching, ensuring layout updates do not break your data pipeline.
We maintain a hash index of last-seen values per contractor profile. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Phone numbers, addresses, and company sizes are extracted in varying formats. Our pipeline normalises these fields into consistent, queryable types before delivery.
General contractors use directory data to find local trades and expand their bidding pools in new geographic markets.
Construction software vendors track marketplace integrations and review sentiment to benchmark against competing products.
Material suppliers identify regions with high contractor density to optimise warehouse locations and distribution networks.
B2B service providers target specific construction firms based on company size, trade specialty, and headquarters location.
Insurance and compliance firms verify public license numbers and certification claims listed on contractor profiles.
Analysts track trends in construction technology adoption by monitoring marketplace install metrics and category growth.
"The Procore Construction Network is the definitive map of commercial contractors, but extracting that topology requires dedicated infrastructure."
B2B directories deploy aggressive rate limiting to protect their proprietary graphs. DataFlirt manages the residential proxy pools, JavaScript execution, and schema normalisation so your data engineering team can focus on downstream analytics instead of crawler maintenance.
Everything supported by our procore.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 handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About procore.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from directories is generally permissible under applicable law. DataFlirt targets only public, non-authenticated contractor profiles and marketplace data. We do not extract personal data, circumvent authentication walls, or access private project management records.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 429 Too Many Requests errors in real time and trigger pool rotation automatically.
No. We exclusively extract data from the public-facing Construction Network and App Marketplace. Private RFIs, submittals, budgets, and schedules are strictly gated and outside our extraction scope.
Full catalogue refreshes at weekly or monthly cadences complete within a 12-24 hour window depending on target size. Change detection logic ensures only updated profiles are processed and delivered.
Yes. Raw text strings for addresses, phone numbers, and company sizes are parsed and standardised into typed fields during the extraction process to ensure immediate utility in your warehouse.
Our packages start at a defined regional or specialty subset with monthly delivery. For full national directory extraction or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 contractor profiles or marketplace listings as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full export of the Construction Network or continuous monitoring of the App Marketplace, we scope, build, and operate the pipeline. Tell us what you need.
