We extract location portfolios, office configurations, pricing tiers, and amenity lists from Industrious. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Locations & Buildings objects from industrious.com. All fields typed and schema-versioned.
"location_id": "IND-NY-01", "name": "Union Square", "city": "New York", "state": "NY", "postal_code": "10003", "building_name": "The Union", "latitude": 40.7359, "longitude": -73.9911
| # | location_id | name | city | state | country | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Workspace Pricing objects from industrious.com. All fields typed and schema-versioned.
"workspace_id": "WS-492", "workspace_type": "Private Office", "capacity_min": 2, "capacity_max": 4, "price_monthly": 3400.0, "currency": "USD", "availability_status": "Available", "desk_count": 4
| # | workspace_id | location_id | workspace_type | capacity_min | capacity_max | price_monthly |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Amenities & Features objects from industrious.com. All fields typed and schema-versioned.
"location_id": "IND-NY-01", "amenity_category": "Food & Beverage", "amenity_name": "Craft Coffee", "included_in_base": true, "description": "Unlimited daily craft coffee and tea", "availability_hours": "24/7"
| # | location_id | amenity_category | amenity_name | included_in_base | description | icon_url |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Access Memberships objects from industrious.com. All fields typed and schema-versioned.
"plan_name": "Oasis Membership", "access_level": "Global", "network_access": "All locations", "price_monthly": 399.0, "currency": "USD", "meeting_room_credits": 5
| # | membership_id | plan_name | access_level | network_access | price_monthly | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Meeting Rooms objects from industrious.com. All fields typed and schema-versioned.
"room_name": "The Boardroom", "capacity": 12, "hourly_rate": 75.0, "currency": "USD", "av_equipment": true, "whiteboard": true
| # | room_id | location_id | room_name | capacity | hourly_rate | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipeline handles the dynamic rendering of Industrious location pages, extracting accurate pricing, workspace availability, and amenity data across their global footprint.
Extract all global locations, addresses, coordinates, and building metadata to maintain an accurate directory of the Industrious footprint.
Capture monthly rates for Private Offices, Suites, and Dedicated Desks, normalising data across different regional currencies.
Extract minimum and maximum desk counts and square footage for each specific office configuration.
Catalogue location-specific amenities like Wellness Rooms, Craft Coffee, and Fast Wi-Fi, mapping them back to the parent location.
Monitor global and regional membership tiers, including pricing, meeting room credits, and guest pass allowances.
Extract capacity, AV equipment availability, and hourly rates for bookable meeting spaces across the network.
Capture building descriptions, transit proximity, and neighbourhood guides to enrich real estate datasets.
Extract high-resolution gallery image CDNs and floor plan PDF links for visual analysis.
Track which office sizes and configurations are currently listed as available versus waitlisted.
Normalise pricing data across USD, GBP, EUR, and other local currencies to maintain a consistent global schema.
Brief in. Clean data out.
Provide target cities, workspace types, or specific location URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers to navigate Industrious location pages and execute pricing widgets.
Schema validation, null-rate checks on pricing, and coordinate mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting accurate real estate pricing requires bypassing rate limits and executing JavaScript to reveal dynamic availability.
Industrious loads pricing and availability dynamically via JavaScript based on user interaction. We run full Playwright browser sessions to trigger these network requests and capture the final rendered DOM.
Frequent location searches trigger rate limiting. We use residential ISP proxies with realistic browser fingerprints to distribute requests and maintain pipeline throughput.
To ensure pricing is accurate and reflects local currency variations, we route requests through region-specific IP addresses matching the target location.
DOM changes in the location directory are handled via multiple fallback chains, ensuring that visual updates to the website do not break the extraction schema.
We maintain a hash index of last-seen values per location. Subsequent runs only push diffs, alerting you precisely when prices adjust or new locations open.
Coworking operators track Industrious pricing across specific cities to adjust their own rates and remain competitive.
Commercial real estate firms analyse flexible workspace density and pricing premiums in key submarkets.
Enterprise workspace teams aggregate availability data to plan distributed hub-and-spoke office networks.
Workspace aggregators integrate Industrious location and amenity data into their booking marketplaces.
Private equity firms monitor location growth and pricing adjustments to evaluate portfolio performance and market penetration.
Researchers track coworking expansion as a leading indicator of neighbourhood gentrification and commercial activity.
"Industrious provides a critical pulse on premium flexible workspace demand, but extracting accurate pricing across their global portfolio requires executing dynamic location queries."
Monitoring commercial real estate pricing at scale requires more than basic HTTP requests. Industrious renders availability and pricing dynamically based on location selection. DataFlirt manages the JavaScript execution, proxy rotation, and schema normalisation so your real estate analysts receive clean, analysis-ready datasets.
Everything supported by our industrious.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 and deduplication. Playwright handles JavaScript rendering to extract dynamic pricing tiers from the Industrious web application.
We route requests through region-specific residential proxies to bypass rate limits and ensure that localised pricing is accurately captured.
Airflow schedules daily or weekly location sweeps. Data is processed via AWS Lambda and stored in managed Postgres for historical tracking.
Data delivered to where your team already works — no new tooling required.
About industrious.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public location, pricing, and amenity data. We do not extract personal data, circumvent authentication walls, or scrape the private member portal.
We use Playwright to execute the JavaScript that loads pricing tiers for Private Offices and Suites, ensuring we capture the exact values rendered to a human user.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per location and workspace type, allowing you to track pricing adjustments historically.
We extract the CDN URLs for all public gallery images and floor plan PDFs associated with a location, providing the links in the final structured dataset.
Location portfolios typically require weekly or monthly refreshes, but daily sweeps are available for strict availability and pricing tracking.
Our smallest packages start at a defined list of cities or regions with weekly delivery. For full global portfolio tracking, we price based on volume and frequency.
No, we do not bypass authentication walls or scrape private member directories, invoice data, or internal community feeds.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off global portfolio extract or continuous price monitoring across key markets — we scope, build, and operate the pipeline. Tell us what you need.
