We extract location coordinates, workspace pricing, meeting room availability, and amenity lists from Commondesk. Delivered as clean JSON, CSV, or Parquet to S3 or PostgreSQL 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 & Spaces objects from commondesk.com. All fields typed and schema-versioned.
"location_id": "CD-TX-DAL-01", "name": "Deep Ellum", "address": "2919 Commerce St", "city": "Dallas", "state": "TX", "zip_code": "75226", "latitude": 32.7845, "longitude": -96.7791
| # | location_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Memberships objects from commondesk.com. All fields typed and schema-versioned.
"location_id": "CD-TX-DAL-01", "membership_type": "Dedicated Desk", "price_monthly": 450.0, "currency": "USD", "setup_fee": 50.0, "access_hours": "24/7", "credits_included": 10, "minimum_term_months": 1
| # | location_id | membership_type | price_monthly | currency | setup_fee | deposit_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Meeting Rooms objects from commondesk.com. All fields typed and schema-versioned.
"room_id": "MR-DAL-01-A", "location_id": "CD-TX-DAL-01", "room_name": "The Vault", "capacity": 8, "price_per_hour": 50.0, "currency": "USD", "av_equipment": true, "whiteboard": true
| # | room_id | location_id | room_name | capacity | price_per_hour | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Amenities objects from commondesk.com. All fields typed and schema-versioned.
"location_id": "CD-TX-DAL-01", "high_speed_wifi": true, "coffee_bar": true, "mother_room": true, "fitness_center": false, "parking_available": true, "pet_friendly": true, "outdoor_space": true
| # | location_id | high_speed_wifi | printing_services | coffee_bar | mother_room | fitness_center |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Virtual Office objects from commondesk.com. All fields typed and schema-versioned.
"location_id": "CD-TX-DAL-01", "package_name": "Mailbox Plus", "price_monthly": 75.0, "currency": "USD", "mail_handling": true, "address_use": true, "meeting_credits": 2, "setup_fee": 25.0
| # | location_id | package_name | price_monthly | currency | mail_handling | address_use |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Commondesk scraper handles every layer of the platform: location inventory, dynamic pricing, meeting room calendars, and amenity details, with JavaScript rendering and session management built in.
Extract coordinates, addresses, operating hours, and capacity limits across all Commondesk properties.
Capture dynamic rates for hot desks, dedicated desks, and private suites across different markets.
Monitor real-time booking slots and hourly rates for conference rooms and event spaces.
Catalogue location-specific perks like espresso bars, podcast studios, and wellness rooms.
Extract pricing and inclusions for mail handling and business address services.
Scrape area guides, transit links, and local partnerships listed per location.
Execute JavaScript to extract dynamic pricing widgets and availability calendars.
Compare daily snapshots to identify new location openings or pricing adjustments.
Normalise extracted addresses into standard spatial formats for mapping applications.
Brief in. Clean data out.
Provide target regions or location URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers and bypass anti-bot protections for commondesk.com.
Schema validation, null-rate checks, and location coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Property platforms use dynamic rendering and rate limits to block scrapers. Here is how we maintain stable extraction.
Commondesk uses standard WAF protections. We route requests through residential IPs to prevent IP bans during full-site crawls.
Pricing and availability calendars load dynamically via API calls. We run full browser sessions to capture hydrated state.
DOM structures change frequently. We use multiple fallback chains per field to ensure continuous data flow.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs for new locations or price changes.
Every run emits structured logs. We alert on null-rate spikes and schema drift before you notice.
Coworking operators track Commondesk membership tiers to optimise their own pricing strategies.
Commercial real estate analysts monitor location expansion and footprint growth across key cities.
Workspace aggregators integrate Commondesk inventory and pricing into their booking marketplaces.
Enterprise teams evaluate private office availability and costs for distributed workforce models.
Researchers analyse the prevalence of specific amenities like podcast studios to forecast workspace trends.
PE firms track active locations and pricing density to evaluate operational health and market penetration.
"Commondesk maps the shifting demand for flexible workspace, but extracting that inventory requires navigating dynamic calendars and API rate limits."
Most teams underestimate the investment required: reliable property scraping requires residential proxies, full JavaScript rendering, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our commondesk.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. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per-request to bypass WAF rules.
Pipelines run on AWS Lambda. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About commondesk.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. We target only public, non-authenticated location and pricing data.
We use residential ISP proxies and full Playwright browser sessions with realistic fingerprints to bypass WAF protections.
Full catalogue refreshes run at daily or weekly cadences. Pricing and availability can be tracked hourly if required.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table for all membership tiers.
Our smallest packages start at a defined location list with weekly delivery. Contact us for a scoped quote.
Absolutely. We provide a sample run of up to 5 locations as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off location dump or a continuous pricing feed across all properties, we scope, build, and operate the pipeline. Tell us what you need.
