We extract location metadata, private office pricing, meeting room availability, and amenity lists from Crosscampus. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Locations & Facilities objects from crosscampus.com. All fields typed and schema-versioned.
"location_id": "CC-LA-01", "name": "Crosscampus Downtown LA", "city": "Los Angeles", "state": "CA", "zip_code": "90017", "status": "active"
| # | location_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Desk & Office Pricing objects from crosscampus.com. All fields typed and schema-versioned.
"workspace_type": "Dedicated Desk", "monthly_rate": 450.0, "currency": "USD", "minimum_term": "1 month", "available_desks": 12, "waitlist": false
| # | pricing_id | location_id | workspace_type | description | monthly_rate | daily_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Meeting Rooms objects from crosscampus.com. All fields typed and schema-versioned.
"room_name": "The Glasshouse", "capacity": 10, "hourly_rate": 75.0, "av_equipment": true, "whiteboard": true, "natural_light": true
| # | room_id | location_id | room_name | capacity | hourly_rate | half_day_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Amenities objects from crosscampus.com. All fields typed and schema-versioned.
"category": "Food & Beverage", "amenity_name": "Kombucha on Tap", "included_in_base": true, "extra_cost": 0.0, "availability": "24/7", "provider": "Local Brew"
| # | location_id | category | amenity_name | included_in_base | extra_cost | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events & Workshops objects from crosscampus.com. All fields typed and schema-versioned.
"title": "Founder Networking Mixer", "date": "2026-08-14", "start_time": "18:00", "event_type": "Networking", "ticket_price": 0.0, "max_attendees": 50
| # | event_id | location_id | title | date | start_time | end_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipeline extracts the full catalogue of coworking inventory, dynamic pricing tiers, and meeting room availability. Built with JavaScript rendering and session management to navigate booking widgets.
Addresses, contact details, operating hours, and total square footage across all active Crosscampus locations.
Capture monthly and daily rates for hot desks, dedicated desks, and private offices, including deposit requirements.
Scrape calendar widgets for real-time meeting room availability, hourly rates, and capacity limits.
Extract structured lists of location-specific amenities, from high-speed internet to craft coffee and parking.
Track community events, networking mixers, and workshops hosted at each location, including RSVP links.
Extract latitude and longitude coordinates for spatial analysis and geographic mapping.
Monitor fluctuations in office pricing or desk availability. Receive only the diffs to optimise storage.
Execute JavaScript to load dynamic pricing calculators and availability calendars that standard crawlers miss.
Monitor waitlists and remaining desk counts to gauge location occupancy and demand trends.
Brief in. Clean data out.
Select specific locations, pricing tiers, or availability calendars. We map the extraction schema.
We configure Playwright crawlers to handle dynamic calendars and React-based booking flows.
Schema validation, null-rate checks, and pricing outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery, or Snowflake stage on schedule.
Coworking availability is buried in complex JavaScript booking widgets. Here is how we extract it reliably.
Crosscampus uses dynamic JavaScript widgets for meeting room calendars and office availability. We run full Playwright sessions to hydrate these components and extract the underlying JSON state.
Booking platforms update their UI frequently. We use multiple fallback chains for CSS and XPath selectors to ensure pricing and availability data remains accurate despite layout changes.
We maintain state across pipeline runs. When a private office price changes or a desk becomes unavailable, we emit a diff record. You receive clean time-series data without redundant payloads.
Some pricing data varies by region. We route requests through US-based residential proxies to ensure we capture the correct localised pricing and tax information.
If a location suddenly drops all its meeting rooms or pricing returns null, our observability stack flags it. We investigate and patch the selectors before you miss a daily update.
Rival coworking spaces track Crosscampus hot desk and private office rates to optimise their own pricing strategies.
Commercial real estate analysts monitor location expansion and capacity metrics to gauge neighbourhood demand.
Workspace aggregators sync location data, amenities, and meeting room availability to keep their directories current.
HR and operations teams compare regional coworking costs to budget for remote employee stipends and satellite offices.
Consultants analyse amenity trends and event frequencies to understand shifts in the flexible workspace industry.
B2B service providers identify new location openings to pitch office supplies, IT services, and catering.
"Coworking inventory is highly dynamic. Tracking hot desk availability and private office pricing requires constant polling of booking widgets."
Most teams underestimate the complexity of scraping coworking sites. Availability data is buried in dynamic JavaScript calendars and React booking flows. DataFlirt manages the rendering engines and selector maintenance so your real estate analysts get clean data without the infrastructure overhead.
Everything supported by our crosscampus.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 retry logic. Playwright handles JavaScript rendering and interaction flows for booking widgets.
We route requests through US-based residential proxies to ensure accurate localised pricing and prevent IP blocking.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About crosscampus.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information, such as public pricing and location data, is generally permissible. DataFlirt targets only non-authenticated pages. We do not extract personal member data or bypass login walls. Clients should review terms of service and consult legal counsel.
We use Playwright to render the JavaScript widgets on the page. Our scripts interact with the calendar elements to reveal availability slots and pricing, extracting the structured JSON state directly from the browser memory.
We begin tracking historical changes from the moment your pipeline is commissioned. Every run produces timestamped snapshots, allowing you to build a time-series dataset of pricing fluctuations over time.
For coworking spaces, daily or weekly runs are standard. If you are building a real-time aggregator, we can configure hourly polling for specific meeting rooms or high-demand desk tiers.
Yes. We build pipelines for WeWork, Regus, Spaces, Industrious, and regional coworking brands. We can normalise data across multiple providers into a single unified schema.
Our selector strategy uses multiple fallback chains. If a layout change breaks the primary extraction path, our monitoring system alerts us immediately. We maintain the pipeline and update the selectors, ensuring your downstream processes are not interrupted.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off location export or continuous availability tracking across all branches, we scope, build, and operate the infrastructure. Contact us to define your schema.
