We extract coworking space listings, real-time desk availability, meeting room pricing, and amenity details from OfficeRnD tenant portals. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake 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 officernd.com. All fields typed and schema-versioned.
"portal_id": "techhub-london", "location_id": "loc_849201", "name": "TechHub Shoreditch", "city": "London", "space_type": "Hot Desk", "base_price": 250.0, "currency": "GBP", "capacity": 120
| # | portal_id | location_id | name | address | city | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Meeting Rooms objects from officernd.com. All fields typed and schema-versioned.
"room_id": "rm_9481", "location_id": "loc_849201", "name": "Boardroom A", "capacity": 12, "hourly_rate": 45.0, "full_day_rate": 300.0, "av_equipment": true, "whiteboard": true
| # | room_id | location_id | name | capacity | hourly_rate | half_day_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Availability & Booking objects from officernd.com. All fields typed and schema-versioned.
"room_id": "rm_9481", "date": "2024-11-15", "time_slot_start": "09:00", "time_slot_end": "10:00", "is_available": true, "minimum_booking_hours": 1, "price": 45.0, "scraped_at": "2024-10-12T08:14:00Z"
| # | room_id | date | time_slot_start | time_slot_end | is_available | minimum_booking_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Amenities & Services objects from officernd.com. All fields typed and schema-versioned.
"amenity_id": "am_102", "location_id": "loc_849201", "category": "Connectivity", "name": "Fibre Internet", "is_free": true, "monthly_cost": 0.0, "availability_status": "Active", "icon_url": "https://cdn.officernd.com/icons/wifi.png"
| # | amenity_id | location_id | category | name | description | is_free |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events & Community objects from officernd.com. All fields typed and schema-versioned.
"event_id": "evt_9942", "portal_id": "techhub-london", "title": "Founders Breakfast", "date": "2024-10-20", "start_time": "08:30", "end_time": "10:00", "rsvp_count": 42, "is_public": true
| # | event_id | portal_id | title | date | start_time | end_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our OfficeRnD scraper navigates multi-tenant portal structures, extracts deeply nested availability calendars, and normalises pricing data across global coworking operators.
Map and extract data across thousands of independent OfficeRnD tenant portals using a unified schema.
Extract real-time meeting room and desk availability grids, parsing complex recurrence rules and buffer times.
Capture base rates, peak pricing, and member discounts, automatically normalising currencies for cross-border analysis.
Scrape detailed resource lists, including AV equipment, capacity limits, and accessibility features per room.
Extract community event details, RSVP counts, and organiser information from public-facing member portals.
Capture structured address data, coordinate mapping, and operating hours for regional workspace density analysis.
Monitor availability changes at sub-hourly intervals to track workspace utilisation and booking velocity.
Bypass complex frontend rendering by intercepting and parsing OfficeRnD's underlying GraphQL and REST network payloads.
Extract desk coordinates and zone categorisations from interactive SVG floorplan visualisations.
Brief in. Clean data out.
Provide target OfficeRnD portal URLs, geographic regions, or specific workspace operators. We design the extraction schema.
We configure Scrapy / Playwright crawlers, handle tenant-specific rate limits, and map the calendar data structures.
Schema validation, null-rate checks, timezone normalisation, and availability testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
OfficeRnD powers thousands of operators, but extracting data across them requires handling varied configurations, dynamic calendars, and strict rate limits.
OfficeRnD portals rely heavily on client-side rendering. Instead of brittle DOM scraping, we intercept the underlying XHR/Fetch requests, extracting clean JSON payloads directly from their internal APIs.
Booking calendars load data dynamically based on viewport and date range. Our crawlers programmatically iterate through date windows, forcing the application to hydrate availability data for entire months in seconds.
OfficeRnD applies strict rate limits per tenant portal. We distribute requests across our residential proxy pool and implement token-bucket algorithms to stay under API thresholds while maintaining high throughput.
Workspaces operate across global timezones, but raw API responses often mix local time and UTC. Our pipeline automatically normalises all booking slots and event times to UTC while preserving local operating hours.
Different coworking operators configure their OfficeRnD portals differently. Our schema mapping uses optional fields and fallback logic to ensure a unified output format regardless of how the operator categorises their desks.
Coworking marketplaces aggregate pricing and availability data to build unified booking interfaces for end-users.
Workspace operators monitor competitor pricing, desk rates, and promotional discounts within specific postcodes.
Commercial real estate analysts track workspace density, amenity trends, and capacity metrics to inform development strategies.
Enterprise HR teams map available flex-spaces and meeting rooms against distributed employee locations.
Data teams poll availability calendars at high frequency to model occupancy rates and peak usage hours across operators.
B2B service providers target specific coworking operators based on their location footprint and event activity.
"OfficeRnD powers thousands of flex workspaces globally — but aggregating pricing and availability across disparate tenant portals requires dedicated extraction infrastructure."
Most teams underestimate the complexity of scraping multi-tenant SaaS platforms. Reliable OfficeRnD extraction requires handling deeply nested React calendars, tenant-specific API rate limits, and dynamic availability grids. DataFlirt absorbs that complexity so your engineering team can focus on analysis, not infrastructure maintenance.
Everything supported by our officernd.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 intercepts network traffic to extract clean API payloads, bypassing complex DOM parsing.
We maintain pools of residential ISP proxies to distribute load across tenant portals, preventing IP bans and rate-limit triggers.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About officernd.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline is designed to handle multi-tenant architectures. We can run concurrent extractions across hundreds of distinct OfficeRnD operator portals, normalising the data into a single unified schema.
Instead of parsing the HTML DOM, our Playwright integration intercepts the XHR/Fetch requests that populate the calendar. This allows us to extract structured availability data directly from the underlying API.
For targeted subsets of meeting rooms or locations, we can configure pipelines to poll at 15-minute intervals, providing near real-time visibility into booking velocity and occupancy.
Yes. All datetime fields are converted to UTC during the extraction process, while preserving the local timezone offset and operating hours for accurate regional analysis.
We focus strictly on publicly accessible data — such as public booking portals, location directories, and open event calendars. We do not bypass authentication to scrape private member directories or billing data.
We utilise residential proxy rotation and implement token-bucket throttling per tenant domain. This ensures our extraction runs smoothly without triggering WAF blocks or degrading the operator's portal performance.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or continuous availability monitoring across hundreds of coworking spaces — we scope, build, and operate the pipeline. Tell us what you need.
