We extract property listings, sold house prices, Zoopla Estimates, EPC ratings, and agent directories. 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 Property Listings objects from zoopla.co.uk. All fields typed and schema-versioned.
"listing_id": "67294812", "property_type": "Terraced house", "listing_status": "for_sale", "bedrooms": 3, "bathrooms": 2, "price": 450000.0, "postcode": "SW19 3RL", "agent_name": "Foxtons - Wimbledon", "epc_rating": "C", "latitude": 51.4213
| # | listing_id | property_type | listing_status | bedrooms | bathrooms | receptions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sold Prices objects from zoopla.co.uk. All fields typed and schema-versioned.
"property_id": "14928371", "address": "12 Acacia Avenue", "postcode": "M14 6HD", "property_type": "Semi-detached", "tenure": "Freehold", "date_sold": "2025-11-14", "price_paid": 325000.0, "bedrooms": 3
| # | property_id | address | postcode | property_type | build_type | tenure |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Zoopla Estimates objects from zoopla.co.uk. All fields typed and schema-versioned.
"property_id": "8837192", "postcode": "E8 2PA", "current_estimate": 620000.0, "estimate_lower_bound": 580000.0, "estimate_upper_bound": 660000.0, "confidence_rating": "High", "rental_estimate": 2400.0, "rental_yield": 4.6
| # | property_id | postcode | address | current_estimate | estimate_lower_bound | estimate_upper_bound |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Estate Agents objects from zoopla.co.uk. All fields typed and schema-versioned.
"branch_id": "9921", "agent_name": "Dexters", "branch_name": "Islington Estate Agents", "postcode": "N1 1RU", "phone": "020 7123 4567", "properties_for_sale": 42, "properties_to_rent": 87, "average_listing_price": 750000.0
| # | branch_id | agent_name | branch_name | address | postcode | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Local Area Stats objects from zoopla.co.uk. All fields typed and schema-versioned.
"area_name": "Wandsworth", "postcode_district": "SW18", "average_asking_price": 810500.0, "average_rent": 2850.0, "total_properties": 1420, "average_yield": 4.2, "scraped_at": "2026-03-14T08:12:00Z"
| # | area_name | postcode_district | average_asking_price | average_rent | total_properties | average_yield |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Zoopla scraper handles complex map viewports, Cloudflare bot protection, and dynamic pagination to extract listings, historical sold prices, and automated valuation models.
Extract asking prices, descriptions, feature bullets, floorplans, EPC ratings, and high-resolution images for both sale and rental properties.
Capture historical transaction data integrated with HM Land Registry, including price paid, date sold, tenure, and property type.
Scrape Zoopla's proprietary AVM data, including current valuation, confidence intervals, and estimated rental yields for specific addresses.
Build directories of letting and estate agents, tracking branch locations, contact details, and their active portfolio sizes.
Extract properties based on custom drawn map polygons or specific radius queries, bypassing standard text-based search limits.
Separate standard residential listings from new build developments, capturing developer details, phase releases, and plot availability.
Extract Energy Performance Certificate ratings, historical energy costs, and potential improvement metrics for compliance monitoring.
Pull aggregated market statistics per postcode district, including average asking prices, rental yields, and turnover rates.
Track price reductions, status changes (Under Offer / Sold STC), and time-on-market metrics with automated daily diffing.
Monitor long-term listing price history, capturing every price adjustment from initial listing to final sale.
Brief in. Clean data out.
Provide postcodes, outcodes, agent IDs, or drawn polygons. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and Cloudflare bypass for zoopla.co.uk.
Schema validation, null-rate checks, location accuracy, and sample validation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Property portals invest heavily in scraping detection. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Zoopla uses aggressive Cloudflare protection to block data centre IPs. Our crawlers use UK-based residential ISP proxies with realistic browser fingerprints and automated challenge solvers to maintain continuous access.
Standard search results cap at 1,000 properties. To extract entire cities, we programmatically traverse map viewports using precise latitude/longitude bounding boxes, ensuring zero dropped listings.
Zoopla Estimates and detailed floorplan galleries are heavily JavaScript-rendered. We run full browser sessions to hydrate these components, capturing valuation data that headless HTTP clients miss entirely.
Property descriptions and agent-submitted fields vary wildly. Our pipeline parses unstructured text to extract clean integers for bedrooms, bathrooms, and floor space, normalising addresses against standard UK formats.
For national catalogues, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs - such as price reductions or status changes - reducing compute cost and downstream processing load.
Data science teams ingest Zoopla Estimates and sold prices to train automated valuation models and market forecasting algorithms.
Institutional investors track rental yields, time-on-market, and price reductions across postcodes to identify high-performing acquisition targets.
Estate agents monitor competitor market share, average listing times, and fee structures across local territories.
Lenders correlate EPC ratings, build types, and historical price volatility to assess loan-to-value risk on specific property types.
Property flippers and landlords compare asking prices against rental estimates to calculate gross yields at the street level.
Local authorities and researchers analyse housing density, new build development phases, and affordability indices across regions.
"Zoopla holds the most comprehensive view of the UK property market, combining active listings with historical HM Land Registry data and proprietary valuation models."
Extracting this at scale requires bypassing sophisticated anti-bot systems, rendering dynamic map viewports, and normalising highly variable property addresses. DataFlirt handles the extraction infrastructure so your quants and analysts can focus on market signals.
Everything supported by our zoopla.co.uk 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. Combined via scrapy-playwright middleware.
We maintain dedicated pools of UK residential ISP proxies to bypass geographic blocks and Cloudflare challenges. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 zoopla.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property listings, sold prices, and agent directories is generally permissible under UK law. DataFlirt extracts only public, non-authenticated data. We do not extract personal user data or bypass authentication walls. Clients should review their specific use case against GDPR and database rights legislation.
Zoopla uses strict Cloudflare rules. We deploy UK residential proxies, full Playwright browser sessions with TLS fingerprint spoofing, and request timing modelled on human behaviour. Our automated solvers handle challenges natively without dropping pipeline throughput.
Yes. We can input specific postcodes or addresses into the valuation tool to extract the current Zoopla Estimate, confidence rating, and historical value changes, even if the property is not currently listed for sale.
For defined postcode sets, we can configure hourly pipelines to detect price reductions, 'Under Offer' status changes, or new listings. Full national catalogue refreshes typically run on a daily or weekly cadence.
Yes. We extract the direct URLs for floorplan images, high-resolution property photos, and the specific EPC rating letter and score for compliance analysis.
Our minimum engagements start with a defined region or specific list of outcodes (e.g., all of Greater London). For national extraction or high-frequency change detection, we price based on data volume and compute requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of London rental yields or a complete database of UK sold prices - we scope, build, and operate the pipeline. Tell us what you need.
