We extract project leads, bid schedules, contractor profiles, and material requirements from ConstructConnect. 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 Project Leads objects from constructconnect.com. All fields typed and schema-versioned.
"project_id": "CC-984721", "project_name": "Downtown Medical Center Expansion", "location": "Austin, TX", "estimated_value": 45000000, "project_stage": "Bidding", "bid_date": "2026-08-15T14:00:00Z", "building_use": "Healthcare", "square_footage": 125000
| # | project_id | project_name | location | estimated_value | project_stage | bid_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Companies & Contacts objects from constructconnect.com. All fields typed and schema-versioned.
"company_id": "CMP-44102", "company_name": "Apex Structural Engineering", "company_type": "Engineer", "address": "100 Main St, Dallas, TX", "phone": "555-019-2834", "active_projects_count": 14, "trade_specialties": "['Structural', 'Civil']"
| # | company_id | company_name | company_type | address | phone | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bid Information objects from constructconnect.com. All fields typed and schema-versioned.
"project_id": "CC-984721", "bid_date": "2026-08-15T14:00:00Z", "pre_bid_meeting_date": "2026-07-20T10:00:00Z", "bid_status": "Open", "planholder_count": 24, "procurement_method": "Competitive", "addenda_count": 2
| # | project_id | bid_date | pre_bid_meeting_date | bid_status | planholder_count | awarded_to_company_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Material Specs objects from constructconnect.com. All fields typed and schema-versioned.
"project_id": "CC-984721", "division_code": "08", "division_name": "Openings", "material_category": "Commercial Doors", "manufacturer_specified": "Steelcraft", "quantity_estimated": 150, "approval_status": "Approved"
| # | project_id | division_code | division_name | material_category | manufacturer_specified | quantity_estimated |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Project Participants objects from constructconnect.com. All fields typed and schema-versioned.
"project_id": "CC-984721", "role": "Architect", "company_name": "DesignBuild Partners", "contact_name": "Sarah Jenkins", "contact_email": "s.jenkins@designbuild.com", "participation_status": "Confirmed", "added_date": "2026-05-10T09:12:00Z"
| # | project_id | role | company_name | company_id | contact_name | contact_email |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our ConstructConnect scraper handles the platform's complex project schema: bidding stages, company directories, and material spec tracking. Built with JavaScript rendering and session management.
Title, estimated value, location, stage, square footage, building use, and construction type extracted at the project level.
Capture bid dates, pre-bid meetings, deadline extensions, and addenda counts timestamped per crawl.
Extract details on general contractors, architects, engineers, and subcontractors including contact information and trade specialties.
Track exactly which contractors have downloaded plans and intend to bid on specific projects.
Detect transitions across project lifecycles: from planning to active bidding to post-bid and awarded stages.
Extract CSI division codes and material specifications to identify product demand early in the design phase.
Capture past project awards, final contract amounts, and winning contractors to build competitive intelligence.
Filter and extract commercial projects strictly by state, county, zip code, or custom radius parameters.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide geographic regions, project types, or CSI divisions. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling.
Schema validation, null-rate checks, value-outlier detection, and sample projects before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Construction data platforms use aggressive rate limiting and complex dynamic loading. Here is how we maintain pipeline stability.
ConstructConnect monitors traffic patterns to block automated extraction. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management trained on real user behaviour.
Project details and planholder lists load dynamically via complex frontend frameworks. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
The platform changes DOM structures frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
For large project databases, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load. You get a clean changelog.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, value outliers, schema drift, and coverage drops. SLA uptime is contractual.
Track material specs and CSI division codes to target projects early in the design phase and pitch specifiers.
Monitor competitor bidding activity, discover new commercial leads, and find specialized subcontractors by region.
Identify active projects in their region matching their trade specialties and track general contractor planholders.
Forecast regional construction activity and project starts to optimise heavy equipment fleet deployment.
Track commercial construction starts, square footage trends, and estimated values to model regional economic health.
Evaluate contractor backlog, past performance, and project risk profiles for underwriting purposes.
"ConstructConnect holds the blueprint to North American commercial construction - but extracting that intelligence at scale requires dedicated infrastructure."
Most teams underestimate the investment required: reliable construction data scraping requires residential proxies, full JavaScript rendering, daily selector maintenance, and complex state tracking for bid updates. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our constructconnect.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, cookie sessions, 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 (burst) and ECS (sustained). 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 constructconnect.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available project directories and high-level data is generally permissible. DataFlirt targets only public, non-authenticated project leads and company data. We do not extract personal data, circumvent authentication walls for gated blueprints, or violate GDPR. Clients should review ConstructConnect terms of service and consult legal counsel.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline. We monitor for rate spikes in real time.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per project to detect bid date changes, stage transitions, and new addenda.
Real-time streaming pipelines achieve daily updates for project stages and bid schedules on a defined geographic set. Full catalogue refreshes complete within a 12-24 hour window depending on size.
No. Accessing the actual plan documents and PDF blueprints requires authenticated user sessions and specific permissions on ConstructConnect. We strictly extract the structured metadata, material specs, and project details.
Our smallest packages start at a defined regional or divisional filter with weekly delivery. For national coverage or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off contractor directory dump or a continuous feed of commercial project leads, we scope, build, and operate the pipeline. Tell us what you need.
