We extract contractor profiles, partner integrations, public bid listings, and technical documentation from the PlanGrid network. 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 Integration Partners objects from plangrid.com. All fields typed and schema-versioned.
"partner_id": "INT-8492", "partner_name": "Procore", "category": "Project Management", "description": "Sync RFIs and submittals directly with PlanGrid workflows.", "website": "https://procore.com", "rating": 4.8, "review_count": 142
| # | partner_id | partner_name | category | description | website | contact_email |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contractor Profiles objects from plangrid.com. All fields typed and schema-versioned.
"company_id": "COMP-1934", "company_name": "Apex Steel Construction", "trades": "['Structural Steel', 'Welding']", "location": "Chicago, IL", "union_status": "Union", "phone": "+1-312-555-0199"
| # | company_id | company_name | trades | location | region_served | union_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Public Bid Listings objects from plangrid.com. All fields typed and schema-versioned.
"bid_id": "BID-9921", "project_name": "O'Hare Terminal Expansion", "location": "Chicago, IL", "bid_due_date": "2026-08-15T17:00:00Z", "owner": "City of Chicago", "status": "Open"
| # | bid_id | project_name | location | bid_due_date | owner | architect |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for App Marketplace Reviews objects from plangrid.com. All fields typed and schema-versioned.
"review_id": "REV-4821", "app_id": "INT-8492", "reviewer_name": "Sarah Jenkins", "rating": 5, "date": "2025-11-02", "helpful_votes": 12
| # | review_id | app_id | reviewer_name | rating | date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Support Documentation objects from plangrid.com. All fields typed and schema-versioned.
"article_id": "DOC-1044", "title": "Configuring Custom RFI Workflows", "category": "Field Management", "last_updated": "2025-09-14T10:00:00Z", "tags": "['RFI', 'Workflow', 'Admin']", "views": 14022
| # | article_id | title | category | sub_category | last_updated | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
PlanGrid and the Autodesk Construction Cloud run on heavily obfuscated single-page applications. Our pipeline handles the JavaScript rendering, dynamic API discovery, and rate-limit evasion required to map the network.
Capture partner names, supported features, install links, and user reviews from the PlanGrid App Directory.
Extract public contractor profiles including trades, regions served, union status, and contact information.
Monitor public project listings, bid due dates, owner details, and trade requirements across the network.
Scrape technical documentation, RFI templates, and community forum threads for NLP training.
Bypass complex GraphQL and REST obfuscation by intercepting underlying XHR requests directly.
Traverse infinite-scroll directories and complex nested category trees without dropping records.
Maintain a hash index of previously scraped records. Receive only diffs on subsequent pipeline runs.
Extract localized integration availability and contractor data across US, UK, and APAC regions.
Convert unstructured HTML descriptions and nested JSON responses into flat, queryable warehouse tables.
Brief in. Clean data out.
Provide target directories, integration categories, or contractor trade filters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for plangrid.com.
Schema validation, null-rate checks, and data typing verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern SaaS platforms deploy aggressive rate limiting and complex state management. Here is how our infrastructure maintains stability.
PlanGrid's public directories rely on heavy client-side rendering. We execute full Playwright sessions to await DOM hydration and trigger lazy-loaded components before extraction.
Instead of parsing complex DOM structures, our pipeline intercepts the underlying GraphQL and REST network requests, extracting clean JSON directly from the transport layer.
We distribute requests across high-reputation residential IPs, randomising request intervals and user-agent fingerprints to avoid WAF blocks and 429 errors.
SaaS platforms update their front-end architecture frequently. We deploy fallback selector chains and monitor null-rates to repair pipeline breakages before they affect your downstream data.
Contractors and apps often appear in multiple categories. Our orchestration layer deduplicates records using unique platform identifiers, ensuring clean primary keys in your warehouse.
Software vendors extract contractor profiles and integration matrices to identify high-probability prospects.
Product teams monitor the PlanGrid App Directory to track competitor feature sets, ratings, and integration parity.
General contractors build proprietary databases of regional subcontractors filtered by trade and union status.
Analysts aggregate public bid listings to forecast regional construction volume and project values.
AI companies scrape technical documentation and RFI templates to train construction-specific language models.
Corporate strategy teams map the Autodesk Construction Cloud partner network to identify acquisition targets.
"The Autodesk Construction Cloud ecosystem contains the most comprehensive directory of construction technology integrations and contractor networks — if you can extract it."
Scraping PlanGrid and its associated network requires navigating heavily obfuscated single-page applications, dynamic API endpoints, and aggressive rate limiting. DataFlirt manages the proxy rotation, JavaScript execution, and schema maintenance so your team can focus on data modelling instead of crawler maintenance.
Everything supported by our plangrid.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 global 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 plangrid.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible. DataFlirt targets only public, non-authenticated integration, contractor, and documentation data. We do not extract personal data, circumvent authentication walls, or access private project repositories. Clients should review Autodesk's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for WAF blocks in real time and trigger pool rotation automatically.
No. DataFlirt does not circumvent authentication mechanisms to access private project data, RFIs, or submittals. We strictly extract publicly accessible directories and documentation.
Public directories and app marketplaces can be refreshed at daily or weekly cadences. Full catalogue refreshes complete within a 4-8 hour window depending on scale.
Our packages start at defined directory targets with weekly delivery. We price based on data volume, extraction complexity, and delivery frequency. Contact us with your specific requirements for a scoped quote.
Yes. We provide a sample run of up to 500 records from the integration directory or contractor list during the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or a continuous feed of integration updates — we scope, build, and operate the pipeline. Tell us what you need.
