SYSTEM all green source primelocation.com queue 12,408 pages p99 latency 185ms dataflirt.com · scraper/primelocation-com
RUN · 72 active pipelines · primelocation.com live

Primelocation data,
at warehouse scale.

We extract property listings, agent portfolios, EPC ratings, and local area stats from Primelocation. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Properties extracted
142K /day
Price updates
18.2K /24h
Agent records
4.1K /run
Active pipelines
72
Uptime
99.94%
Data Dictionary

Every field we extract from primelocation.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Sales Listings objects from primelocation.com. All fields typed and schema-versioned.

listing_idtitleproperty_typepricecurrencybedroomsbathroomsreception_roomsaddresspostcodedescriptionagent_nameagent_idlisted_dateimage_urlsfloorplan_urlepc_ratingcouncil_tax_bandtenurepage_url
sales_listings
● 200 OK
"listing_id": "64829104",
"title": "4 bed terraced house for sale",
"property_type": "Terraced",
"price": 850000,
"currency": "GBP",
"bedrooms": 4,
"postcode": "SW19 3RQ",
"agent_name": "Knight Frank",
"epc_rating": "C"
# listing_idtitleproperty_typepricecurrencybedrooms
1
2
3

Complete list of extractable fields for Lettings Data objects from primelocation.com. All fields typed and schema-versioned.

listing_idtitleproperty_typeprice_pcmprice_pwcurrencybedroomsbathroomsavailable_fromfurnished_stateaddresspostcodeagent_namedeposit_amountletting_typestudent_friendlypage_url
lettings_data
● 200 OK
"listing_id": "89302115",
"title": "2 bed flat to rent",
"price_pcm": 2100,
"price_pw": 484,
"currency": "GBP",
"bedrooms": 2,
"furnished_state": "Furnished",
"available_from": "2026-09-01",
"agent_name": "Foxtons"
# listing_idtitleproperty_typeprice_pcmprice_pwcurrency
1
2
3

Complete list of extractable fields for Agent Intelligence objects from primelocation.com. All fields typed and schema-versioned.

agent_idbranch_namecompany_nameaddresspostcodephone_numbertotal_sale_listingstotal_rent_listingsaverage_sale_priceaverage_rent_priceproperty_types_handledagent_logo_urlprofile_url
agent_intelligence
● 200 OK
"agent_id": "14920",
"branch_name": "Savills Wimbledon",
"company_name": "Savills",
"postcode": "SW19 4BA",
"total_sale_listings": 42,
"total_rent_listings": 18,
"average_sale_price": 1250000,
"phone_number": "02089718111"
# agent_idbranch_namecompany_nameaddresspostcodephone_number
1
2
3

Complete list of extractable fields for Location & Transport objects from primelocation.com. All fields typed and schema-versioned.

listing_idpostcodenearest_station_1_namenearest_station_1_distnearest_station_2_namenearest_station_2_distnearest_school_1_namenearest_school_1_ratingnearest_school_1_distlatitudelongitudecommute_time_londonlocal_crime_ratebroadband_speed
location_& transport
● 200 OK
"listing_id": "64829104",
"nearest_station_1_name": "Wimbledon",
"nearest_station_1_dist": "0.4 miles",
"nearest_station_2_name": "South Wimbledon",
"nearest_station_2_dist": "0.7 miles",
"latitude": 51.4214,
"longitude": -0.2074,
"nearest_school_1_name": "Dundonald Primary",
"nearest_school_1_rating": "Outstanding"
# listing_idpostcodenearest_station_1_namenearest_station_1_distnearest_station_2_namenearest_station_2_dist
1
2
3

Complete list of extractable fields for Market History objects from primelocation.com. All fields typed and schema-versioned.

listing_idpostcodeoriginal_pricecurrent_priceprice_reductionslast_reduced_datedays_on_markethistorical_sale_1_datehistorical_sale_1_pricehistorical_sale_2_datehistorical_sale_2_priceestimated_yieldpage_url
market_history
● 200 OK
"listing_id": "64829104",
"original_price": 895000,
"current_price": 850000,
"price_reductions": 1,
"last_reduced_date": "2026-04-12",
"days_on_market": 45,
"historical_sale_1_date": "2015-08-21",
"historical_sale_1_price": 620000
# listing_idpostcodeoriginal_pricecurrent_priceprice_reductionslast_reduced_date
1
2
3

Capabilities

Everything you need from Primelocation

Our Primelocation scraper handles the entire portal: sales inventory, lettings data, agent portfolios, and historical price movements. Built with JavaScript rendering, session management, and anti-bot circumvention.

Complete Property Data

Extract titles, descriptions, bedrooms, bathrooms, prices, and exact postcodes across all UK regions.

Price Reduction Tracking

Capture original listing price versus current price to identify motivated sellers and market cooling trends.

Agent Portfolio Mapping

Aggregate listings by agent branch to calculate market share, average listing times, and inventory volume.

Transport & Amenities

Extract nearest stations, distances, and local school Ofsted ratings attached to each property listing.

EPC & Floorplan URLs

Capture Energy Performance Certificate ratings and direct image URLs for floorplans and property photos.

Map Search Rendering

Execute full browser sessions to render map based search results and capture properties hidden from standard list views.

Daily Inventory Diffs

Run continuous pipelines to detect new listings, removed properties, and price changes within 24 hours.

Pagination Bypass

Circumvent standard portal pagination limits by generating granular geographic bounding boxes for complete coverage.

Anti-Bot Circumvention

Handle Cloudflare and PerimeterX challenges automatically with residential IP rotation and humanised interaction patterns.

// engagement pipeline

From postcode list to structured dataset

Brief in. Clean data out.

Define Scope
d 0

Provide postcodes, towns, agent IDs, or search parameters. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for primelocation.com.

Validation & QA
d 4–6

Schema validation, null-rate checks, price-outlier detection, and sample coverage before full launch.

Delivery
ongoing

JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

How our Primelocation pipeline handles the hard parts

UK property portals invest heavily in scraping detection. Here is how we stay resilient and why teams choose managed infrastructure over DIY.

pipeline-monitor · primelocation.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Anti-bot layer
Residential proxy rotation + fingerprint spoofing

Property portals use strict bot detection based on TLS fingerprints, headers, and IP reputation. Our crawlers use UK residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.

Pagination limits
Geographic bounding box subdivision

Primelocation limits search results to a fixed number of pages. We bypass this by subdividing large search areas into microscopic geographic bounding boxes, ensuring zero listings are truncated by portal limits.

JavaScript rendering
Full Playwright execution for dynamic content

Many property details, map coordinates, and agent contact numbers are obfuscated or loaded via JavaScript. We run full Playwright browser sessions to hydrate the DOM and capture data that headless HTTP clients miss entirely.

Schema stability
Resilient selectors with fallback chains

Portals change DOM structures frequently to disrupt scrapers. Our selector strategy uses multiple fallback chains per field, including structured JSON-LD extraction, ensuring layout changes do not break your data pipeline.

Change detection
Only re-scrape what has changed

For national catalogues, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load.

Applications

Who uses Primelocation data

Teams across industries use primelocation.com data to build competitive products and smarter operations.

01
PropTech Valuation Models

Automated Valuation Model providers ingest listing prices, floor areas, and historical sales to train pricing algorithms.

02
Agent Competitor Analysis

Estate agencies track competitor instruction volumes, time on market, and price reduction frequencies to benchmark performance.

03
Buy-to-Let Yield Calculation

Institutional investors correlate sales prices with local rental rates to identify high-yield postcodes for portfolio expansion.

04
Market Liquidity Tracking

Analysts monitor inventory levels and days on market to gauge housing market health at a hyper-local level.

05
Urban Planning & Research

Consultancies analyse property types, EPC ratings, and transport proximity to inform infrastructure and development proposals.

06
Lead Generation for Conveyancers

Legal and financial service providers identify properties marked 'Sold STC' to target relevant ancillary services.

Why DataFlirt

"Primelocation holds a critical slice of the UK property market, but extracting structured data requires bypassing aggressive anti-bot layers and complex pagination."

Most teams underestimate the investment required: reliable Primelocation scraping requires UK residential proxies, full JavaScript rendering for map views, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.

Technical Spec

Primelocation scraper — technical capabilities

Everything supported by our primelocation.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Full Playwright sessions required for map views, coordinates, and obfuscated numbers
Supported
CAPTCHA bypass
Automated CapSolver integration for Cloudflare and PerimeterX challenges
Supported
Residential proxy rotation
ISP-grade residential IPs from UK pools rotated per request
Supported
Floorplan & Image extraction
Direct CDN URLs for all property media assets
Supported
EPC rating extraction
Capture current and potential energy ratings per listing
Supported
Agent portfolio tracking
Aggregate all active listings mapped to specific agent IDs or branches
Supported
Change detection (diffs)
Hash-based diff: only emit records with changed fields since last run
Supported
Webhook delivery
HTTP POST per record or batch for real-time downstream processing
Supported
My Account saved properties
Extracting user-specific saved lists requires authenticated access
Partial
Direct agent messaging history
Private communications between buyers and agents are strictly gated
Partial
Infrastructure

Infrastructure powering the Primelocation pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.

Cloud-Native Orchestration

Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested schema versioned per run
CSV
Flat file with typed columns for analytics tools
XLS
Excel compatible format for immediate business use
Parquet
Columnar format for BigQuery, Snowflake, Athena
AWS S3
Direct bucket delivery compatible with any data lake
Webhook
HTTP POST per record for real-time downstream processing
API
REST endpoints to query your extracted datasets
PostgreSQL
Upsert into your existing schema with conflict resolution
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About primelocation.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Primelocation legal?

Scraping publicly available property listings is generally permissible under UK law, provided it does not breach intellectual property rights or extract personal data. DataFlirt targets only public, non-authenticated listing and agent data. Clients should review Primelocation terms of service and consult legal counsel for their specific use cases.

How do you handle Primelocation anti-bot systems?

We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for CAPTCHA rate spikes in real time and trigger solver queues automatically.

How fresh is the data?

Pipelines can be configured for daily or sub-daily runs. Full regional catalogue refreshes complete within a 6-12 hour window depending on geographic scope and concurrency limits.

Do you extract floorplans and images?

Yes. We extract the direct high-resolution CDN URLs for all property images, floorplans, and EPC graphs. We do not host the images, but deliver the URLs in your dataset.

Can you track price reductions over time?

Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per listing ID, tracking original price, current price, and reduction dates.

How do you bypass the 1000-result limit?

Primelocation restricts standard search pagination. We programmatically generate granular geographic bounding boxes across the UK, ensuring every search returns fewer than the maximum allowed results, guaranteeing complete market coverage.

What is the minimum viable engagement?

Our packages start at defined regional extractions with weekly delivery. For national catalogues or daily historical tracking, we price based on compute volume and delivery frequency. Contact us for a scoped quote.

$ dataflirt scope --new-project --source=primelocation.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off regional export or a continuous national property feed, we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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