We extract professional listings, contact information, selection criteria scores, and service areas from Expertise.com. 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 Professional Listings objects from expertise.com. All fields typed and schema-versioned.
"business_id": "exp-law-chi-8492", "business_name": "Smith & Associates Legal", "category": "Personal Injury Lawyers", "city": "Chicago", "state": "IL", "expertise_badge_year": "2025", "primary_phone": "312-555-0198", "overall_rating": 4.9
| # | business_id | business_name | category | city | state | expertise_badge_year |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Selection Criteria objects from expertise.com. All fields typed and schema-versioned.
"business_id": "exp-law-chi-8492", "reputation_score": 98, "credibility_score": 100, "experience_score": 95, "availability_score": 90, "professionalism_score": 96, "total_score": 96.4, "variables_analysed": 25
| # | business_id | reputation_score | credibility_score | experience_score | availability_score | professionalism_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Contact & Location objects from expertise.com. All fields typed and schema-versioned.
"business_id": "exp-law-chi-8492", "street_address": "120 N LaSalle St", "suite_number": "Suite 1400", "city": "Chicago", "state": "IL", "zip_code": "60602", "latitude": 41.8832, "longitude": -87.6324
| # | business_id | street_address | suite_number | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Service Offerings objects from expertise.com. All fields typed and schema-versioned.
"business_id": "exp-law-chi-8492", "primary_category": "Personal Injury", "sub_services": "['Car Accidents', 'Medical Malpractice', 'Workers Compensation']", "operating_hours": "Mon-Fri 09:00-17:00", "emergency_service_available": true, "licensed_status": "Verified", "languages_spoken": "['English', 'Spanish']"
| # | business_id | primary_category | sub_services | service_area_radius | operating_hours | emergency_service_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Review Summaries objects from expertise.com. All fields typed and schema-versioned.
"business_id": "exp-law-chi-8492", "source_platform": "Google Business Profile", "average_rating": 4.9, "total_reviews": 342, "five_star_count": 315, "one_star_count": 4, "scrape_timestamp": "2026-03-14T10:22:00Z"
| # | business_id | source_platform | average_rating | total_reviews | five_star_count | one_star_count |
|---|---|---|---|---|---|---|
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Our Expertise.com scraper navigates city directories, parses selection criteria, and normalises contact details across thousands of local professional categories with anti-bot circumvention built in.
Extract business names, addresses, phone numbers, website URLs, and operational hours across all service categories and US cities.
Capture the proprietary 25-variable scoring system including reputation, credibility, experience, and professionalism metrics.
Clean and structure address data into distinct street, city, state, and zip code fields for easy geographic querying.
Extract review counts and average ratings across external platforms as summarised on the Expertise.com profile.
Map primary business categories to specific sub-services and specialties listed on the professional profile.
Identify consecutive years a business has won the Expertise.com top professional badge in their local market.
Traverse the entire directory structure across 4,000+ US cities to build a comprehensive national database.
Monitor directories for new entrants, dropped businesses, or changes in contact information with hash-based diffing.
Process thousands of category-city combinations concurrently using our distributed scraping infrastructure.
Brief in. Clean data out.
Provide target categories, US states, or specific city lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and parsing logic for expertise.com.
Schema validation, null-rate checks, and location data normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory scraping at scale requires strict data normalisation and resilient traversal logic. Here is how we maintain data quality.
Directory sites monitor request velocity heavily. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and randomised request timing to prevent IP bans and CAPTCHA walls.
Local business data is notoriously messy. We run post-extraction normalisation pipelines to ensure phone numbers follow E.164 format and addresses are split into queryable components.
Expertise.com features thousands of city-category combinations. Our spiders map the entire site hierarchy to ensure 100% coverage without missing deep paginated results.
Directory layouts change frequently. Our selector strategy uses multiple fallback chains per field so a minor CSS class update does not break your data pipeline overnight.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing contact fields, and coverage drops to maintain data integrity.
Sales teams extract high-quality, pre-vetted local business contacts to build targeted outbound campaigns.
Agencies monitor top-ranked businesses across cities to understand directory presence and reputation metrics.
Analysts track the density of specific service providers across US metros to identify underserved markets.
Local businesses monitor category rankings and criteria scores to benchmark against top performers in their city.
Procurement teams use the database to find highly rated contractors, legal counsel, and service providers nationally.
Underwriters verify professional credentials, license status, and public reputation scores for liability policies.
"Expertise.com curates the top local professionals in the US - providing a pre-filtered dataset of high-value B2B contacts that standard maps scrapers cannot match."
Extracting directory data at scale requires more than simple HTTP requests. It demands rigorous normalisation of contact details, reliable traversal of deep category hierarchies, and residential proxies to avoid rate limits. DataFlirt manages this infrastructure so you receive clean, structured business records ready for immediate use.
Everything supported by our expertise.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 and interaction flows for complex directory pages.
We maintain pools of US residential ISP proxies. Rotation happens per-request to prevent directory rate-limiting and ensure continuous extraction.
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 expertise.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 business profiles, contact details, and criteria scores. We do not extract personal consumer data or circumvent authentication walls.
We use US-based residential ISP proxies and realistic request timing modelled on human behaviour. We monitor for HTTP 429/503 errors in real time and trigger pool rotation automatically.
Yes. We configure the pipeline scope based on your requirements. You can provide a list of specific US cities, states, or professional categories to target.
Yes. Phone numbers are formatted to standard E.164, and addresses are split into street, city, state, and zip code fields for immediate database ingestion.
Full catalogue refreshes at weekly or monthly cadences complete within a specified window depending on the target volume. Delta exports ensure you only receive updated records.
Our smallest packages start at a defined category list with monthly delivery. For nationwide catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 business profiles as part of the pre-engagement scoping process 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 specific local category export or a continuous nationwide directory feed - we scope, build, and operate the pipeline. Tell us what you need.
