We extract venue listings, hourly pricing, host rules, amenities, and availability calendars from Peerspace. 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 Venue Listings objects from peerspace.com. All fields typed and schema-versioned.
"venue_id": "ps_849210", "title": "Industrial Loft Studio with Natural Light", "host_name": "Sarah J.", "space_type": "Photo Studio", "capacity": 15, "sq_ft": 1200, "city": "Los Angeles", "rating": 4.9, "review_count": 142
| # | venue_id | title | url | host_name | space_type | capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fees objects from peerspace.com. All fields typed and schema-versioned.
"venue_id": "ps_849210", "hourly_rate": 75.0, "minimum_hours": 2, "cleaning_fee": 50.0, "deposit_required": false, "currency": "USD", "weekend_premium": 95.0
| # | venue_id | hourly_rate | minimum_hours | cleaning_fee | deposit_required | overtime_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Amenities & Rules objects from peerspace.com. All fields typed and schema-versioned.
"venue_id": "ps_849210", "included_amenities": "['WiFi', 'Projector', 'Whiteboard', 'Kitchen']", "cancellation_policy": "Flexible", "alcohol_allowed": true, "outside_catering": true, "noise_restrictions": "No loud music after 10 PM"
| # | venue_id | included_amenities | excluded_amenities | house_rules | cancellation_policy | alcohol_allowed |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Availability objects from peerspace.com. All fields typed and schema-versioned.
"venue_id": "ps_849210", "date": "2026-08-15", "start_time": "09:00", "end_time": "17:00", "is_available": false, "blocked_reason": "booked", "last_updated": "2026-05-12T10:15:00Z"
| # | venue_id | date | start_time | end_time | is_available | blocked_reason |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from peerspace.com. All fields typed and schema-versioned.
"review_id": "rev_99214", "venue_id": "ps_849210", "reviewer_name": "Michael T.", "rating": 5, "review_text": "Perfect space for our offsite. Host was very communicative.", "date_posted": "2026-04-10", "event_type": "Corporate Offsite"
| # | review_id | venue_id | reviewer_name | rating | review_text | date_posted |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Peerspace scraper handles every layer of the platform: venue details, dynamic hourly pricing, availability calendars, and host policies with JavaScript rendering and anti-bot circumvention built in.
Title, capacity, square footage, space type, and detailed descriptions scraped at the listing level.
Capture hourly rates, minimum hour requirements, cleaning fees, and weekend premiums.
Extract included equipment like WiFi, projectors, whiteboards, and kitchen access.
Record cancellation terms, alcohol policies, outside catering rules, and noise restrictions.
Scrape open slots, blocked dates, and booking buffer times directly from the dynamic calendar widget.
Extract user reviews, specific event types mentioned, star ratings, and host responses.
Filter and extract by city, neighbourhood, zip code, or map coordinates across global markets.
Capture host response rates, superhost status, join date, and total active listings.
Extract high-resolution gallery URLs and floor plan document links for spatial analysis.
Brief in. Clean data out.
Provide target cities, space types, or specific venue URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for peerspace.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Peerspace uses dynamic map loads, interactive calendars, and aggressive rate limiting. Here is how we stay resilient.
Peerspace blocks datacenter IPs aggressively. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Peerspace venue pages and availability calendars are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to trigger calendar hydration.
Peerspace limits standard search results. We use coordinate bounding boxes to traverse map grids programmatically, ensuring 100% coverage of a city without hitting pagination limits.
The Peerspace DOM structure changes frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
For large venue catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Commercial real estate firms analyse hourly yield on specific property types to guide acquisition strategy.
Coworking operators and independent studios monitor local hourly rates and minimum hour requirements to optimise their own pricing.
Event aggregators map local venue supply, amenities, and capacity limits to match corporate clients with suitable spaces.
Operators identify underserved neighbourhoods with high demand and low supply for specific space types like photo studios.
Analysts correlate blocked calendar dates across a city with local events to model short-term rental demand spikes.
Track which specific equipment or amenities correlate with higher hourly rates and booking velocity.
"Peerspace holds the definitive dataset for short-term commercial real estate utilization, but extracting availability calendars requires complex dynamic rendering."
Most teams underestimate the investment required. Reliable Peerspace scraping requires residential proxies, full JavaScript rendering for map grids and dynamic calendars, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our peerspace.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, cookie sessions, and map interactions.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request with sticky sessions where required for calendar hydration.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About peerspace.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Peerspace is generally permissible. DataFlirt targets only public, non-authenticated venue, pricing, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review Peerspace terms of service and consult legal counsel for specific use cases.
Peerspace caps standard search results. We bypass this by programmatically dividing target cities into geographic bounding boxes and querying coordinates directly, ensuring we capture every active listing in a given market.
Yes. We use Playwright to interact with the dynamic calendar widget on each listing page, extracting open slots, blocked dates, and minimum booking buffers.
Pipelines can be configured for daily or weekly refreshes depending on your requirements. Calendar availability and pricing updates are captured during each run.
Yes. We extract data across all active Peerspace markets globally, normalising currency and location formats into a unified schema.
Our minimum engagement starts at a defined list of target cities or specific space types with weekly delivery. We price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off market export or a continuous pricing feed across global cities, we scope, build, and operate the pipeline. Tell us what you need.
