We extract building profiles, desk availability, meeting room pricing, and amenity lists from Techspace. 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 & Buildings objects from techspace.com. All fields typed and schema-versioned.
"location_id": "LON-SHD-01", "name": "Shoreditch", "city": "London", "neighbourhood": "East London", "postcode": "EC2A 3LT", "desk_capacity": 450, "total_sqft": 25000
| # | location_id | name | city | neighbourhood | address | postcode |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Desk & Office Pricing objects from techspace.com. All fields typed and schema-versioned.
"office_id": "OFF-304", "location_id": "LON-SHD-01", "desk_count": 12, "price_per_desk": 450.0, "currency": "GBP", "availability_status": "Available", "floor_level": 3
| # | office_id | location_id | desk_count | price_per_desk | currency | availability_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Meeting Rooms objects from techspace.com. All fields typed and schema-versioned.
"room_id": "MR-SHD-04", "room_name": "The Turing Room", "capacity": 8, "price_per_hour": 65.0, "currency": "GBP", "video_conferencing": true, "whiteboard_included": true
| # | room_id | location_id | room_name | capacity | price_per_hour | price_per_day |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Amenities & Facilities objects from techspace.com. All fields typed and schema-versioned.
"location_id": "LON-SHD-01", "amenity_type": "Bike Storage", "is_free": true, "booking_required": false, "capacity": 80, "opening_time": "08:00", "closing_time": "20:00"
| # | location_id | amenity_type | description | is_free | opening_time | closing_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Event Spaces objects from techspace.com. All fields typed and schema-versioned.
"event_space_id": "EVT-BER-01", "location_id": "BER-KRE-01", "name": "The Atrium", "max_capacity": 150, "seated_capacity": 80, "price_per_full_day": 2500.0, "av_equipment_included": true
| # | event_space_id | location_id | name | max_capacity | standing_capacity | seated_capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Techspace scraper handles every layer of the platform: building profiles, dynamic availability widgets, meeting room pricing, and amenity lists.
Extract addresses, square footage, capacity, and neighbourhood descriptions for all Techspace locations.
Track private office availability, desk counts, and move-in dates across London and Berlin hubs.
Capture hourly and daily rates for meeting rooms, including capacity and AV equipment specifications.
Record building-specific facilities like bike storage, showers, cafes, and podcast studios.
Extract nearest tube stations, bus routes, and walking times listed for each building.
Scrape standing and seated capacities, pricing tiers, and catering options for large event areas.
Normalise pricing data across GBP and EUR based on the building location.
Extract floor levels, natural light indicators, and layout descriptions for specific office units.
Run differential scraping to alert you when a 20-person office becomes available in a target location.
Capture partnered discounts and local perks listed on building profiles.
Brief in. Clean data out.
Provide target cities or specific building URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, handle pagination, and manage sessions for techspace.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Coworking platforms rely on dynamic APIs and regional pricing. Here is how we stay resilient.
Techspace updates office availability via asynchronous API calls. We intercept these XHR requests to capture real-time inventory before the DOM renders.
Pricing and availability change based on regional IP. We route requests through London and Berlin residential proxies to ensure accurate local data.
Coworking site layouts change frequently during marketing campaigns. We use structured data extraction and fallback selectors to maintain pipeline health.
For office inventory, we maintain a hash index of last-seen values. Subsequent runs only push diffs, alerting you immediately when a desired office size becomes available.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and coverage drops, responding before you notice.
Coworking operators track Techspace pricing, desk rates, and amenity offerings to position their own inventory competitively.
PropTech analysts monitor occupancy signals and expansion patterns across tech hubs in London and Berlin.
Operations teams track private office availability to plan team expansions and office relocations.
Flexible workspace aggregators ingest Techspace inventory and pricing to populate their own booking platforms.
Event management agencies monitor large capacity room availability and pricing for corporate offsites.
Neighbourhood cafes and gyms track building capacities to forecast local footfall and target corporate partnerships.
"Techspace holds critical inventory data for the European tech ecosystem, but extracting it requires navigating dynamic booking interfaces and regional pricing."
Most teams underestimate the investment required to scrape modern coworking platforms. Reliable extraction requires intercepting availability APIs, managing regional proxies, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our techspace.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, deduplication, and retry logic. Playwright handles JavaScript rendering and dynamic availability widgets.
We maintain pools of residential ISP proxies across UK and DE regions. Rotation happens per-request to capture accurate local pricing.
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 techspace.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Techspace is generally permissible under applicable law. DataFlirt targets only public, non-authenticated location, pricing, and amenity data. We do not extract personal member data or circumvent authentication walls.
We use Playwright to execute JavaScript and intercept the underlying XHR/API calls that populate the booking widgets, ensuring we capture real-time inventory rather than stale HTML.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per office unit for availability status and pricing from the date your pipeline starts.
Yes. We route requests through region-specific residential proxies to ensure we capture accurate local inventory and pricing in both GBP and EUR.
Real-time streaming pipelines achieve sub-60-minute latency for availability signals. Full catalogue refreshes at daily cadence complete within a 2-hour window.
Absolutely. We provide a sample run of up to 3 locations and their associated inventory 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 availability feed across all buildings, we scope, build, and operate the pipeline. Tell us what you need.
