We extract tradesperson profiles, company details, ratings, review histories, and service coverage from Rated People. 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 Tradesperson Profiles objects from ratedpeople.com. All fields typed and schema-versioned.
"company_name": "Smith & Sons Plumbing", "trade_type": "Plumber", "location": "London", "rating_overall": 4.9, "review_count": 142, "member_since": "2018-04", "trustmark_registered": true
| # | profile_url | company_name | trade_type | location | rating_overall | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from ratedpeople.com. All fields typed and schema-versioned.
"reviewer_name": "John D.", "job_type": "Boiler Installation", "date_posted": "2023-11-14", "rating_quality": 5, "rating_reliability": 5, "rating_value": 4, "review_text": "Excellent work, arrived on time."
| # | review_id | company_url | reviewer_name | job_type | date_posted | rating_quality |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Service Coverage objects from ratedpeople.com. All fields typed and schema-versioned.
"primary_location": "Manchester", "radius_miles": 20, "postcodes_covered": "['M1', 'M2', 'M3', 'WA14']", "regions_covered": "['Greater Manchester', 'Cheshire']", "emergency_callout": true, "remote_quotes": false
| # | company_url | primary_location | radius_miles | postcodes_covered | regions_covered | travel_willingness |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Qualifications & Badges objects from ratedpeople.com. All fields typed and schema-versioned.
"qualification_name": "City & Guilds Level 3", "awarding_body": "City & Guilds", "verification_status": "Verified", "date_verified": "2021-08-12", "gas_safe_registered": true, "niceic_approved": false
| # | company_url | qualification_name | awarding_body | verification_status | date_verified | trustmark_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Directory Search Results objects from ratedpeople.com. All fields typed and schema-versioned.
"search_query": "Electrician", "location_query": "Birmingham", "position": 3, "company_name": "Sparky Electrics Ltd", "rating": 4.8, "review_count": 89, "sponsored_listing": false
| # | search_query | location_query | position | company_name | profile_url | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Rated People scraper targets tradesperson directories, profile metadata, and review histories, handling location based pagination and anti-bot systems automatically.
Extract names, descriptions, established dates, and contact details where publicly available on the profile.
Map businesses to specific trades like plumbing, roofing, or electrical work based on directory taxonomy.
Capture sub-ratings for quality, reliability, and value alongside the overall composite score.
Extract full text reviews, homeowner locations, job types, and dates across all paginated review pages.
Map postcodes, towns, and regions covered by each tradesperson based on their stated travel radius.
Extract verified badges, Gas Safe registrations, NICEIC approvals, and Trustmark status.
Track organic position for specific trades in specific UK postcodes to monitor directory visibility.
Extract URLs and metadata for past work photos uploaded to the tradesperson portfolio.
Run weekly or monthly diffs to track new tradespeople joining the platform and recent customer reviews.
Brief in. Clean data out.
Provide trade categories, locations, or specific profile URLs. We design the extraction schema together.
We configure Scrapy crawlers, UK residential proxies, and extraction logic for ratedpeople.com.
Schema validation, null-rate checks, and data normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Rated People employs rate limiting and pagination traps. We handle the infrastructure so you receive clean data without interruption.
Directory sites monitor IP location and request velocity. We use UK residential proxies to ensure requests appear as legitimate local homeowner searches, preventing IP bans.
Search results are often capped at a maximum number of pages. We bypass this by simulating highly granular postcode searches, ensuring total coverage of all available profiles.
Tradesperson profiles vary based on subscription tier and filled fields. Our extraction logic uses fallback selectors to handle missing data gracefully without breaking the pipeline.
Search results depend on proximity. We inject specific UK postcodes into the session state to retrieve accurate service area data and ranking positions.
For continuous monitoring, we maintain a state index. Subsequent runs only extract new reviews or updated profile fields, reducing compute overhead and delivering clean diffs.
B2B suppliers and wholesalers target specific trades in specific regions to offer materials and services.
Analysts map trade density, average ratings, and service gaps across UK postcodes to identify market opportunities.
Competing directory platforms monitor Rated People supply side metrics to benchmark their own network size.
Agencies track client reviews across multiple platforms to provide aggregated sentiment reporting.
Insurers assess tradesperson risk profiles based on stated qualifications, trade associations, and customer feedback.
Researchers analyse job types and regional demand indicators to model home improvement cost trends.
"Rated People holds a dense network of UK tradesperson performance data, but extracting it requires navigating strict location based routing and rate limits."
Building a reliable pipeline for UK trades directories requires high quality residential IPs, accurate postcode simulation, and resilient pagination logic. DataFlirt manages the extraction infrastructure, delivering structured profiles and reviews directly to your data warehouse.
Everything supported by our ratedpeople.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 dynamic content loading and interaction flows for complex directory structures.
We maintain pools of UK residential ISP proxies. Rotation happens per request to prevent IP bans while simulating accurate regional searches.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About ratedpeople.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated profile and review data. We do not extract private homeowner details or circumvent authentication walls.
Yes. We simulate local searches by injecting specific postcodes into the session, retrieving accurate results for tradespeople serving that exact area.
We extract contact information only when it is publicly displayed on the tradesperson profile. Information gated behind lead purchase systems is not extracted.
Pipelines can run daily, weekly, or monthly based on your requirements. Change detection ensures you only receive new reviews since the last run.
Yes. Provide a list of profile URLs, and we will configure a targeted pipeline to monitor those specific profiles for rating changes and new reviews.
Broad category searches often cap at a certain number of pages. We bypass this by executing granular searches across thousands of individual postcodes to ensure comprehensive coverage.
Yes. We provide a sample run of up to 500 profiles as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full directory dump or continuous review monitoring across specific UK regions, we scope, build, and operate the pipeline. Tell us what you need.