We extract contractor directories, verified reviews, licensing data, and service categories from Angieslist. 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 Contractor Profiles objects from angieslist.com. All fields typed and schema-versioned.
"business_id": "AL-9827341", "business_name": "Apex Plumbing Solutions", "primary_category": "Plumbing", "overall_rating": 4.8, "review_count": 342, "phone_number": "555-019-8372", "city": "Austin", "super_service_award": true
| # | business_id | business_name | primary_category | overall_rating | review_count | phone_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from angieslist.com. All fields typed and schema-versioned.
"review_id": "REV-449201", "business_id": "AL-9827341", "author_name": "Sarah J.", "star_rating": 5, "review_text": "Arrived on time and fixed the leak in under an hour.", "project_cost": "150.00", "verified_status": true
| # | review_id | business_id | author_name | review_date | star_rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Services & Pricing objects from angieslist.com. All fields typed and schema-versioned.
"business_id": "AL-9827341", "offered_services": "['Pipe repair', 'Water heater installation', 'Drain cleaning']", "free_estimates": true, "warranty_offered": true, "payment_methods": "['Credit Card', 'Check', 'Zelle']", "minimum_project_size": "100.00"
| # | business_id | offered_services | excluded_services | eco_friendly_options | warranty_offered | free_estimates |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Licensing & Credentials objects from angieslist.com. All fields typed and schema-versioned.
"business_id": "AL-9827341", "license_number": "TX-PLMB-99382", "license_state": "TX", "license_type": "Master Plumber", "insured_status": true, "bonded_status": true, "background_check_status": "Passed"
| # | business_id | license_number | license_state | license_type | expiration_date | insured_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from angieslist.com. All fields typed and schema-versioned.
"keyword": "roofing", "search_zip_code": "78701", "rank_position": 3, "business_name": "Capital City Roofing", "overall_rating": 4.6, "sponsored_flag": false, "angi_certified": true
| # | keyword | search_zip_code | rank_position | business_id | business_name | overall_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Angieslist scraper bypasses bot mitigation and geo-fences to extract verified contractor data, reviews, and licensing information across all US ZIP codes.
Extract complete business profiles including names, addresses, contact information, operating hours, and service categories.
Paginate through thousands of reviews per contractor to capture text, ratings, project costs, and verified purchase flags.
Simulate searches from specific US ZIP codes to map exact service areas and local search rankings.
Capture state license numbers, insurance status, bonding information, and background check badges.
Identify top-performing contractors by tracking Super Service Awards and Angi Certified status.
Execute JavaScript to render obfuscated phone numbers and website links that simple HTTP clients miss.
Track which contractors are paying for placement versus ranking organically for specific service keywords.
Monitor contractor profiles for new reviews, rating changes, or updated licensing information on a daily or weekly cadence.
Scale extractions across thousands of categories and locations simultaneously without triggering rate limits.
Brief in. Clean data out.
Provide service categories, ZIP codes, or specific contractor URLs. We design the extraction schema together.
We configure Playwright crawlers, US residential proxy rotation, and session management for angieslist.com.
Schema validation, null-rate checks, and contact data verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory sites protect their data aggressively. Here is how we maintain reliable extraction pipelines.
Angieslist uses strict WAF rules to block datacenter IPs. We route all requests through US-based residential proxies with realistic browser fingerprints to ensure uninterrupted access to search results and profiles.
Contractor visibility depends entirely on the searcher location. We maintain distinct browser sessions pinned to specific ZIP codes to accurately map service areas and local rankings.
Phone numbers and external links are often obfuscated or lazy-loaded via JavaScript. We use full browser rendering to simulate user interaction and extract the underlying contact details.
Directory layouts change constantly for A/B testing. We use fallback chains and structured data extraction to ensure your pipeline does not break when Angieslist updates their UI.
We monitor extraction yields continuously. If a specific field like license number or phone drops below expected thresholds, our alerting stack flags it for immediate engineering review.
Software vendors and wholesale suppliers extract contractor contact information to build targeted outbound sales lists.
Home service franchises monitor local competitors to track pricing models, service offerings, and market positioning.
Market researchers map contractor density across ZIP codes to identify underserved regions for expansion.
Agencies track client reviews and aggregate ratings across Angieslist to manage online brand presence.
Investors evaluate local service companies by analysing historical review volume, rating trends, and award consistency.
Property management firms validate contractor licenses, insurance status, and bond information before vendor onboarding.
"Angieslist holds the most dense concentration of verified home service contractor data on the web, but extracting it requires bypassing aggressive bot mitigation."
Extracting contractor directories at scale means fighting strict WAF rules, managing local ZIP code sessions, and rendering React components for contact details. DataFlirt handles the proxy rotation and session management so your team can focus on the extracted data.
Everything supported by our angieslist.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 manages JavaScript execution and local storage to mimic real user behaviour on directory pages.
We maintain pools of US residential ISP proxies. Rotation happens per-request with sticky sessions to maintain consistent geo-location during search pagination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres for reliable change detection.
Data delivered to where your team already works — no new tooling required.
About angieslist.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available contractor profiles and reviews is generally permissible under applicable law. DataFlirt targets only public, non-authenticated directory data. We do not extract private consumer details or circumvent authentication walls.
We use full Playwright browser sessions to execute the necessary JavaScript and simulate the click events required to reveal hidden contact information on contractor profiles.
Yes. We configure our crawlers to initiate sessions with specific ZIP codes, ensuring the search results accurately reflect the local ranking and service area visibility.
We can configure pipelines for one-off historical dumps or scheduled daily refreshes to capture new reviews and rating changes.
Yes. We capture all badges, including Angi Certified status, Super Service Awards, and background check verification flags.
Our minimum engagement typically starts at 10,000 contractor profiles or specific category extractions across defined US states.
Yes. We provide a sample run of up to 500 contractor profiles during the scoping phase so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a national contractor directory dump or continuous review monitoring for local competitors. Tell us what you need.
