We extract workspace availability, desk pricing, meeting room schedules, and member directories from Nexudus portals. 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 & Workspaces objects from nexudus.com. All fields typed and schema-versioned.
"location_id": "LOC-98214", "name": "Downtown Hub 1", "city": "London", "country": "UK", "postal_code": "EC1A 1BB", "latitude": 51.5213, "longitude": -0.0984
| # | location_id | name | address | city | country | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Membership Plans objects from nexudus.com. All fields typed and schema-versioned.
"plan_id": "PLN-4412", "name": "Dedicated Desk Pro", "price": 350.0, "currency": "GBP", "billing_cycle": "monthly", "credits_included": 150, "is_public": true
| # | plan_id | location_id | name | description | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Meeting Rooms objects from nexudus.com. All fields typed and schema-versioned.
"room_id": "RM-882", "name": "Boardroom Alpha", "capacity": 12, "hourly_rate": 45.0, "currency": "GBP", "minimum_booking_time": 60, "availability_status": "available"
| # | room_id | location_id | name | capacity | hourly_rate | daily_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Events objects from nexudus.com. All fields typed and schema-versioned.
"event_id": "EVT-9912", "title": "Startup Pitch Night", "start_time": "2026-09-15T18:00:00Z", "end_time": "2026-09-15T21:00:00Z", "price": 0.0, "currency": "GBP", "attendees_count": 45
| # | event_id | location_id | title | description | start_time | end_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Community Members objects from nexudus.com. All fields typed and schema-versioned.
"member_id": "MEM-5519", "full_name": "Sarah Jenkins", "company": "TechFlow Ltd", "job_title": "Product Manager", "skills": "['agile', 'ux', 'b2b']", "location_id": "LOC-98214", "joined_date": "2024-02-11"
| # | member_id | full_name | company | job_title | skills | bio |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Nexudus scraper handles every layer of the platform: location directories, dynamic meeting room grids, event calendars, and public member lists. We bypass cosmetic theme changes and extract raw structured data.
Extract physical workspace details, coordinates, and operating hours across multiple Nexudus portals.
Track hot desk, dedicated desk, and private office pricing including setup fees and billing cycles.
Capture hourly and daily rates for conference rooms, including capacity and AV amenities.
Monitor booking grids to estimate occupancy rates and peak usage times for shared resources.
Identify and map custom domains running Nexudus infrastructure via DNS and fingerprinting.
Scrape public networking events, workshops, and social mixers hosted at coworking spaces.
Extract opted-in community profiles, company affiliations, and skill tags for lead generation.
Standardise pricing data across international Nexudus deployments into a single target currency.
Catalogue offered services like printing, high-speed WiFi, showers, and 24/7 access flags.
Run daily or weekly pipelines to detect new locations, updated pricing, or upcoming events.
Brief in. Clean data out.
Provide target Nexudus portal URLs or geographic regions. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for Nexudus subdomains.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Coworking operators heavily customise their Nexudus portals. Here is how we maintain reliable data extraction across thousands of unique domains.
Many coworking spaces use Nexudus on custom domains. We use DNS fingerprinting and structural heuristics to identify and scrape these hidden instances at scale.
Nexudus portals rely heavily on React/Vue for resource availability grids. We deploy Playwright to execute JavaScript and hydrate calendars before extraction.
Aggressive scraping of a single Nexudus instance triggers WAF blocks. We distribute requests across our residential proxy pool to maintain stealth and ensure complete data retrieval.
Operators customise their Nexudus frontend themes. Our selector strategy uses structural DOM patterns and API interception to bypass cosmetic CSS changes.
We maintain a hash index of last-seen values per workspace. Subsequent runs emit only diffs, reducing downstream processing load for your data engineering team.
Coworking operators track local competitors' membership rates, setup fees, and desk pricing to optimise their own margins.
Commercial real estate analysts map flexible workspace density and pricing trends across specific zip codes.
Sales teams extract opted-in community member directories and company affiliations for targeted outreach.
Flexible workspace aggregators populate their marketplaces with live meeting room and desk inventory.
Networking platforms aggregate coworking events, workshops, and pitch nights into unified city-wide calendars.
Workspace designers analyse standard amenities across top-tier coworking spaces to inform new build-outs.
"Nexudus powers thousands of independent coworking spaces globally. Aggregating this fragmented data reveals the true supply and pricing dynamics of the flexible office market."
Extracting data across disparate white-label Nexudus portals requires custom discovery logic, JavaScript rendering for booking grids, and resilient selectors to handle theme variations. DataFlirt manages this infrastructure entirely, delivering clean, unified workspace intelligence directly to your warehouse.
Everything supported by our nexudus.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.
We bypass brittle CSS selectors by intercepting frontend XHR requests directly, falling back to full Playwright rendering for complex booking grids.
We route requests through localised residential IPs to view region-specific pricing and bypass aggressive WAF rules on custom coworking domains.
Pipelines execute on AWS Lambda and ECS, managed by Apache Airflow. We guarantee SLA compliance and handle scaling automatically.
Data delivered to where your team already works — no new tooling required.
About nexudus.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible data from Nexudus portals is generally permissible. We strictly target unauthenticated pricing, location, and opted-in community data. We do not bypass login walls or extract private member information.
Our crawlers target the underlying Nexudus API endpoints and structural DOM patterns rather than relying on cosmetic CSS classes, ensuring high reliability across heavily customised portals.
Yes. We extract the booking grid data to determine open slots, minimum booking durations, and hourly pricing for meeting rooms across locations.
We extract member directories only when spaces configure them to be publicly visible. This typically includes name, company, job title, and listed skills.
We configure pipelines to run daily, weekly, or monthly based on your requirements. Our change-detection system ensures you only process updated records.
Yes. We use DNS records and HTTP header fingerprinting to map custom domains back to Nexudus infrastructure before initiating the crawl.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off pull of local coworking rates or continuous monitoring of flexible workspace inventory globally. Tell us your requirements.
