We extract local business listings, contact information, category classifications, and customer reviews from Touchlocal. 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 Business Profiles objects from touchlocal.com. All fields typed and schema-versioned.
"business_id": "TL-84921", "name": "Ace Plumbing Services", "city": "London", "postcode": "SW1A 1AA", "phone": "020 7946 0123", "category": "Plumbers", "claimed_status": true
| # | business_id | name | address_line_1 | city | postcode | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from touchlocal.com. All fields typed and schema-versioned.
"review_id": "REV-9932", "business_id": "TL-84921", "star_rating": 5, "review_text": "Fixed my boiler in under an hour.", "review_date": "2023-11-14", "helpful_votes": 3
| # | review_id | business_id | reviewer_name | star_rating | review_text | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operating Hours objects from touchlocal.com. All fields typed and schema-versioned.
"business_id": "TL-84921", "monday_open": "08:00", "monday_close": "18:00", "tuesday_open": "08:00", "tuesday_close": "18:00", "weekend_hours": "Closed"
| # | business_id | monday_open | monday_close | tuesday_open | tuesday_close | wednesday_open |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Maps objects from touchlocal.com. All fields typed and schema-versioned.
"business_id": "TL-84921", "latitude": 51.5014, "longitude": -0.1419, "borough": "Westminster", "county": "Greater London", "country": "UK"
| # | business_id | latitude | longitude | service_radius | borough | county |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results objects from touchlocal.com. All fields typed and schema-versioned.
"keyword": "plumber", "location": "London", "position": 1, "business_id": "TL-84921", "rating": 4.8, "review_count": 42
| # | keyword | location | position | business_id | name | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Touchlocal scraper handles every layer of the directory: business listings, contact details, category classifications, and the review corpus.
Business name, address, phone numbers, website URLs, and rich descriptions scraped at the profile level.
Extract primary and secondary category classifications to build structured local business directories.
Capture review text, star ratings, timestamps, and owner responses across paginated review sections.
Standardised extraction of opening times, holiday hours, and special event closures.
Extract embedded latitude and longitude data along with UK postcode parsing.
Track organic position for specific service keywords and geographic locations.
Identify whether a business profile is claimed or owner-verified on the Touchlocal platform.
Cleanse UK phone numbers and format postal addresses consistently across the dataset.
Run continuous pipelines with hash-based diffing to track new business registrations and closed entities.
Brief in. Clean data out.
Provide UK postcodes, target categories, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and pagination handling for touchlocal.com.
Schema validation, null-rate checks, and phone number formatting verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory sites employ rate limiting and IP blocks to prevent bulk scraping. Here is how we maintain stable extraction.
Directory sites often block non-UK traffic or present altered results. We route requests through UK-based residential proxies to ensure accurate local search returns.
Category pages limit visible results. Our crawlers systematically traverse pagination tokens and manipulate search parameters to extract the complete directory depth.
User-submitted local business data is notoriously inconsistent. We apply regex-based normalisation to phone numbers, postcodes, and address lines before delivery.
We manage request concurrency and inject randomised delays to stay below Touchlocal rate limits, avoiding 403 errors and IP bans.
We maintain a hash index of business profiles. Subsequent runs only push diffs, capturing newly added businesses or modified contact details without full re-crawls.
Sales teams use extracted contact details and category data to build targeted outbound prospecting lists across UK regions.
Agencies track client rankings for local search terms against competitors within specific postcodes.
Platform operators ingest Touchlocal profiles to enrich their own local business databases and fill data gaps.
Analysts map business density by category and region to identify underserved markets or economic trends.
Brands aggregate local reviews to measure customer satisfaction and operational performance across franchise locations.
Risk and compliance teams cross-reference Touchlocal listings to verify business existence and physical addresses.
"Touchlocal holds a critical slice of the UK local business graph, but extracting it cleanly requires navigating inconsistent user-generated data and strict rate limits."
Most teams underestimate the investment required for directory scraping: reliable extraction demands UK residential proxies, aggressive normalisation of phone numbers and postcodes, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our touchlocal.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. We optimise concurrent request limits to respect target infrastructure.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. 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 touchlocal.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible under UK and EU law, provided it does not extract personal data or breach database rights. DataFlirt targets only public business profiles. Clients should consult legal counsel for specific use cases.
We use UK residential proxies and manage request concurrency to stay below detection thresholds. Our crawlers mimic human browsing patterns with randomised delays.
Yes. We can seed the crawler with a defined list of postcodes, cities, or counties to extract businesses only within your target geographic areas.
Yes. User-generated directories contain messy data. We apply regex patterns to normalise UK phone numbers, split addresses, and standardise postcodes before delivery.
We can configure pipelines to run daily, weekly, or monthly depending on your requirements. Change detection ensures you only receive updates for modified or new listings.
Our smallest packages start at a defined category or region list with weekly delivery. For full UK directory extraction, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a targeted list of London plumbers or a continuous feed of all UK business registrations, we build and operate the pipeline. Tell us what you need.
