We extract workspace listings, dynamic hourly rates, real-time availability, and building amenities from Breather. 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 Workspace Listings objects from breather.com. All fields typed and schema-versioned.
"space_id": "BR-NY-104", "name": "Flatiron Bright Boardroom", "capacity": 12, "square_footage": 450, "space_type": "Meeting Room", "rating": 4.8
| # | space_id | name | location_slug | capacity | square_footage | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Rates objects from breather.com. All fields typed and schema-versioned.
"space_id": "BR-NY-104", "hourly_rate": 75.0, "daily_rate": 450.0, "currency": "USD", "minimum_hours": 2, "cancellation_policy": "Flexible"
| # | space_id | hourly_rate | daily_rate | currency | cleaning_fee | minimum_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Availability & Scheduling objects from breather.com. All fields typed and schema-versioned.
"space_id": "BR-NY-104", "date": "2024-11-20", "available_slots": "['09:00', '10:00', '14:00']", "booked_slots": "['11:00', '12:00', '13:00']", "operating_hours_start": "08:00", "operating_hours_end": "20:00"
| # | space_id | date | available_slots | booked_slots | operating_hours_start | operating_hours_end |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Location & Building objects from breather.com. All fields typed and schema-versioned.
"space_id": "BR-NY-104", "address_line1": "10 E 21st St", "city": "New York", "state": "NY", "zip_code": "10010", "latitude": 40.739, "longitude": -73.989
| # | space_id | address_line1 | city | state | zip_code | neighborhood |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Amenities & Features objects from breather.com. All fields typed and schema-versioned.
"space_id": "BR-NY-104", "wifi_speed": "100 Mbps", "whiteboard": true, "monitor": true, "wheelchair_accessible": true, "natural_light": true
| # | space_id | wifi_speed | whiteboard | projector | monitor | conference_phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Breather scraper handles every layer of the platform. We extract storefront listings, dynamic pricing, availability calendars, and amenity details with full JavaScript rendering and session management.
Extract title, capacity, square footage, description, and every metadata field Breather surfaces for a specific location.
Capture hourly rates, daily caps, cleaning fees, and minimum booking rules timestamped per crawl.
Scrape slot-by-slot schedule data to monitor exact booking density and future availability.
Extract exact coordinates, neighbourhood tags, and nearby transit stops for spatial analysis.
Parse categorised lists of hardware, accessibility features, and perks like coffee or natural light.
Scrape CDN links for photo galleries to populate internal databases or marketplace aggregators.
Extract seating configurations, room types, and floor level details for every listing.
Monitor inventory across New York, San Francisco, London, Toronto, and all active markets.
Only receive updates when a calendar slot is booked or a price changes to reduce processing load.
Extract cancellation terms, building entry rules, and operating hours for each space.
Brief in. Clean data out.
Provide target cities, space types, or exact URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and calendar state management for breather.com.
Schema validation, null-rate checks, and calendar accuracy verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on an agreed cadence.
Real-time availability scraping requires high-frequency polling without triggering rate limits. Here is how we maintain stable extraction.
Breather relies on complex JavaScript components for availability calendars. We use Playwright to interact with these date pickers programmatically and extract the resulting state.
Monitoring real-time bookings requires aggressive polling. We route requests through dense pools of residential IPs to avoid triggering API rate limits or IP bans.
Instead of parsing messy HTML, we intercept the underlying XHR network payloads that populate the frontend. This yields perfectly structured JSON directly from the source.
Pricing and availability can vary based on the user location. We match our proxy exit nodes to the target market to ensure we capture the correct localized data.
We deploy multiple fallback selectors for every data point. If Breather updates their frontend framework, our extraction logic seamlessly shifts to secondary targets.
Coworking operators track hourly rates and daily caps to optimise their own pricing strategies.
Analysts monitor commercial real estate utilisation and flexible space density across major urban centres.
Internal software teams integrate external meeting spaces into proprietary booking tools for remote employees.
Revenue managers understand peak booking times and capacity constraints to forecast demand.
City planners map flexible workspace locations against transit nodes to study commuting patterns.
Private equity firms evaluate portfolio footprint, asset quality, and booking velocity for real estate investments.
"Flex-space availability is highly volatile. If your data is 24 hours old, the room is already booked. You need real-time calendar extraction."
Operating a continuous pipeline against Breather requires intercepting private API payloads, spoofing local geolocations, and rotating residential proxies to avoid rate limits on availability endpoints. DataFlirt handles this infrastructure so your team can focus on the analysis.
Everything supported by our breather.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 handles JavaScript rendering and calendar interaction flows.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request with sticky sessions for calendar polling.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About breather.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Breather is generally permissible. DataFlirt targets only public, non-authenticated workspace, pricing, and availability data. We do not extract personal data or circumvent authentication walls.
Real-time streaming pipelines achieve 15-minute polling intervals for availability signals on a defined set of locations.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per space for hourly rates and daily caps.
Yes. We intercept XHR network payloads to extract perfectly structured JSON directly from the source API.
We cover all active Breather markets including New York, San Francisco, London, Toronto, and Chicago.
Our packages start at city-level tracking with daily delivery. For higher frequency polling, we price based on volume and compute requirements.
We route requests through dense pools of residential IPs and manage concurrency strictly to avoid triggering API rate limits or IP bans.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off spatial dataset or a continuous availability feed, we scope, build, and operate the pipeline. Tell us what you need.
