We extract location details, membership tiers, meeting room availability, and pricing from Workbar. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Locations objects from workbar.com. All fields typed and schema-versioned.
"location_id": "WB-BOS-01", "name": "Workbar Back Bay", "address": "399 Boylston St", "city": "Boston", "state": "MA", "zip_code": "02116", "square_footage": 12500, "capacity": 250
| # | location_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Memberships objects from workbar.com. All fields typed and schema-versioned.
"location_id": "WB-BOS-01", "tier_name": "Full-Time Coworking", "price_monthly": 499.0, "credits_included": 10, "access_hours": "24/7", "guest_passes": 2, "mail_handling": true
| # | location_id | tier_name | price_monthly | credits_included | access_hours | guest_passes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Meeting Rooms objects from workbar.com. All fields typed and schema-versioned.
"room_id": "MR-BOS-01-A", "location_id": "WB-BOS-01", "name": "The Commonwealth Room", "capacity": 12, "hourly_rate": 75.0, "video_conferencing": true, "accessible": true
| # | room_id | location_id | name | capacity | hourly_rate | equipment |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Amenities objects from workbar.com. All fields typed and schema-versioned.
"location_id": "WB-BOS-01", "fast_wifi": true, "coffee_tea": true, "phone_booths": 6, "mother_room": true, "transit_access": "Green Line (Arlington)", "outdoor_space": false
| # | location_id | fast_wifi | printing | coffee_tea | phone_booths | mother_room |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Availability objects from workbar.com. All fields typed and schema-versioned.
"room_id": "MR-BOS-01-A", "date": "2026-05-12", "time_slot": "14:00-15:00", "status": "available", "price": 75.0, "minimum_booking_hours": 1, "last_checked": "2026-05-10T08:30:00Z"
| # | room_id | date | time_slot | status | price | minimum_booking_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipelines navigate regional pricing, interactive maps, and dynamic booking calendars to deliver clean, structured data for real estate and competitor analysis.
Extract addresses, square footage, capacity limits, and operating hours for all Workbar locations.
Track monthly rates, setup fees, credit allowances, and access restrictions across all membership tiers.
Catalogue room capacities, hourly rates, and AV equipment specifications per location.
Scrape time slot availability and status from dynamic booking interfaces.
Structure unstructured amenity lists into boolean flags for coffee, printing, phone booths, and transit access.
Monitor rates and inclusions for mail handling and virtual business addresses.
Extract public networking events, workshops, and community gatherings hosted at locations.
Receive diffs when membership fees change or new locations open, reducing redundant data processing.
Configure daily or weekly syncs directly into your PostgreSQL database or S3 bucket.
Brief in. Clean data out.
Select specific locations, membership tiers, or booking calendars. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to handle dynamic React components and location routing.
Schema validation, null-rate checks, and pricing anomaly detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on an agreed cadence.
Coworking sites use complex JavaScript frameworks for booking and mapping. Here is how we extract the underlying data reliably.
Workbar relies on dynamic JavaScript for meeting room availability and interactive location maps. We run full Playwright browser sessions to hydrate these components and extract the underlying JSON state.
Pricing and availability often depend on location context. We manage session state and cookies to simulate regional browsing, ensuring accurate extraction of location-specific membership rates.
Marketing sites update their layouts frequently. Our selector strategy uses multiple fallback chains and API interception to capture data even when DOM structures change.
We maintain a hash index of last-seen values for pricing and amenities. Subsequent runs only push diffs, providing a clean changelog of membership rate adjustments.
Every run emits structured logs to our observability stack. We alert on null-rate spikes or schema drift and correct selectors before you notice missing data.
Coworking operators track Workbar's membership tiers, pricing changes, and amenity offerings to position their own spaces.
Commercial real estate analysts monitor location density, square footage, and expansion patterns in the Greater Boston area.
HR and facilities teams evaluate regional coworking options and pricing to support distributed workforces.
Flexible workspace marketplaces integrate Workbar location and pricing data into their unified search interfaces.
PropTech firms use historical meeting room rates and availability to train dynamic pricing algorithms.
Private equity firms analyze location growth and pricing stability to evaluate regional coworking operators.
"Workbar provides premium coworking data, but extracting real-time availability and regional pricing requires a dedicated infrastructure layer."
Extracting coworking data involves navigating complex booking calendars, interactive location maps, and tiered membership structures. DataFlirt manages the JavaScript rendering and session state required to turn Workbar's frontend into a structured, queryable database for your real estate analytics.
Everything supported by our workbar.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 manages JavaScript execution for booking calendars and maps.
We route requests through US-based residential proxies to ensure reliable access and prevent rate limiting.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. State is stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About workbar.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information, such as location addresses and public pricing, is generally permissible. DataFlirt targets only public, non-authenticated data. We do not bypass login screens to access private member directories or booking histories.
We use Playwright to render the booking interfaces, intercept the underlying API responses, and extract the JSON state representing available time slots.
Yes. Our change detection system compares current pricing against historical hashes and emits a diff record whenever a membership rate or room fee changes.
For standard location and pricing data, we typically run daily or weekly pipelines. If you require near real-time availability for meeting rooms, we can configure higher-frequency polling.
No. Member directories and profiles are gated behind authentication walls. We only extract data available to the public.
We provide managed pipelines starting with weekly deliveries of all public location and pricing data. Contact us to discuss your specific schema requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Get structured location and pricing data delivered directly to your warehouse. Tell us your schema requirements.
