We extract UK business listings, open electoral roll records, property transactions, and director profiles from 192.com. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 People Search objects from 192.com. All fields typed and schema-versioned.
"first_name": "John", "last_name": "Smith", "postcode": "SW1A 1AA", "age_guide": "40-44", "occupancy_years": "2018-2023", "other_occupants": "['Jane Smith', 'Mark Smith']"
| # | first_name | last_name | middle_initial | address_line_1 | address_line_2 | town |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Business Listings objects from 192.com. All fields typed and schema-versioned.
"business_name": "Tech Solutions Ltd", "category": "IT Support", "phone_number": "020 7946 0001", "postcode": "EC1A 1BB", "rating": 4.8, "review_count": 34
| # | business_name | category | address | phone_number | website | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Property Prices objects from 192.com. All fields typed and schema-versioned.
"property_type": "Terraced", "tenure": "Freehold", "last_sold_price": 450000, "last_sold_date": "2021-08-14", "estimated_value": 510000, "council_tax_band": "D"
| # | property_address | property_type | tenure | bedrooms | bathrooms | last_sold_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Director Data objects from 192.com. All fields typed and schema-versioned.
"company_name": "Global Trading PLC", "company_number": "01234567", "status": "Active", "director_name": "Sarah Jenkins", "director_role": "Managing Director", "appointment_date": "2015-03-01"
| # | company_name | company_number | incorporation_date | registered_address | status | director_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Demographics objects from 192.com. All fields typed and schema-versioned.
"postcode_sector": "M1 1", "population": 4521, "average_age": 28, "crime_rate": "High", "average_income": 32000, "local_authority": "Manchester City Council"
| # | postcode_sector | population | average_age | households | crime_rate | average_income |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our 192.com scraper navigates the complex UK directory ecosystem, handling rate limits, pagination caps, and CAPTCHA challenges to extract clean public records.
Extract open register data including names, addresses, and co-occupants for identity verification and tracing.
Capture company names, contact numbers, addresses, and categories across all UK regions and sectors.
Extract historical sold prices, property attributes, and current valuation estimates from 192.com property pages.
Map corporate structures with director names, appointment dates, and associated active companies.
Extract age bracket estimates and household composition data for demographic profiling.
Parse and normalise UK postal addresses into structured formats compatible with standard PAF systems.
Extract latitude and longitude points from business and property listings for spatial analysis.
Navigate deep search results while managing strict 192.com query limits and IP blocks.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide postcode sectors, business categories, or target demographics. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for 192.com.
Schema validation, null-rate checks, and address standardisation tests before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
192.com invests heavily in scraping detection and strict query limits. Here is how we stay resilient.
192.com restricts the number of searches per IP. We rotate residential proxies per request to distribute query volume and avoid temporary bans.
High velocity searches trigger CAPTCHA challenges. Our pipeline integrates 2Captcha and CapSolver to clear these hurdles without manual intervention.
UK addresses appear in varying formats. We apply custom parsing logic to normalise street, town, and postcode fields into structured JSON arrays.
Search results are capped per query. We slice search parameters by granular postcode sectors and business categories to extract the full corpus.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops.
Compliance teams use open register data to cross-reference customer identities against known UK addresses.
Agencies trace individuals who have relocated by monitoring electoral roll updates and co-occupant linkages.
Sales teams build targeted outreach lists using business directory data filtered by category and region.
Property investors identify off-market opportunities by analysing ownership tenure and estimated valuations.
Enterprise data teams append missing phone numbers and postal codes to their existing CRM records.
Analysts use demographic and business density data to plan retail locations and assess local competition.
"192.com holds the most comprehensive public directory in the UK, but extracting that data at scale requires navigating aggressive rate limits and complex pagination."
Most teams underestimate the investment required: reliable 192.com scraping requires residential proxies, CAPTCHA handling, and sophisticated query slicing to bypass result caps. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our 192.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 interaction flows. Combined via scrapy-playwright middleware.
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.
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 192.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from 192.com is generally permissible under applicable UK law. DataFlirt targets only public, non-authenticated directory and open register data. We do not extract premium gated records or violate GDPR. Clients should review 192.com terms and consult legal counsel.
We use UK based residential ISP proxies and request timing modelled on human behaviour. This distributes the query volume and prevents IP bans from their security systems.
We extract the Open Register (edited electoral roll) which is publicly available on 192.com. The full electoral register is restricted by law and not accessible via public scraping.
192.com caps the number of results per search. We bypass this by slicing queries into micro-segments, such as searching by individual postcode sectors and specific business categories to ensure full coverage.
Yes, we extract the property attributes, historical Land Registry sold prices, and the current valuation estimates displayed on 192.com property pages.
Our smallest packages start at a defined query list (typically 10,000 postal sectors or business names) with weekly delivery. For larger datasets, we price based on volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off business directory dump or continuous electoral roll monitoring across the UK, we scope, build, and operate the pipeline. Tell us what you need.
