We extract business profiles, contact details, operating hours, ratings, and reviews from Superpages. 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 superpages.com. All fields typed and schema-versioned.
"business_id": "sp-98234", "name": "Joes Plumbing", "primary_category": "Plumbers", "address": "123 Main St", "city": "Austin", "state": "TX", "zip_code": "78701", "phone": "512-555-0199"
| # | business_id | name | primary_category | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from superpages.com. All fields typed and schema-versioned.
"review_id": "rev-456", "business_id": "sp-98234", "rating": 5, "review_text": "Great service and fast response.", "author_name": "Sarah Connor", "review_date": "2023-10-12", "source": "Superpages", "helpful_votes": 12
| # | review_id | business_id | rating | review_text | author_name | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operating Hours objects from superpages.com. All fields typed and schema-versioned.
"business_id": "sp-98234", "day_of_week": "Monday", "open_time": "08:00", "close_time": "18:00", "is_closed": false, "timezone": "America/Chicago"
| # | business_id | day_of_week | open_time | close_time | is_closed | is_holiday |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Geolocation objects from superpages.com. All fields typed and schema-versioned.
"business_id": "sp-98234", "latitude": 30.2672, "longitude": -97.7431, "neighborhood": "Downtown", "map_url": "https://maps.example.com", "accuracy": "rooftop"
| # | business_id | latitude | longitude | neighborhood | map_url | directions_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from superpages.com. All fields typed and schema-versioned.
"keyword": "plumber", "location": "Austin, TX", "position": 1, "business_id": "sp-98234", "name": "Joes Plumbing", "sponsored": true, "rating": 4.8, "review_count": 45
| # | keyword | location | position | business_id | name | sponsored |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Superpages scraper handles every layer of the directory: business listings, dynamic search results, category tracking, and the review corpus with JavaScript rendering and anti-bot circumvention built in.
Business name, address, phone number, website, claim status, and every metadata field Superpages surfaces scraped at the listing level.
Capture primary and secondary phone numbers, email addresses where available, and external website links.
Extract primary and secondary business categories. Track listings across multiple service taxonomies.
Full review text, star ratings, helpful vote counts, and review dates paginated across all review pages.
Latitude, longitude, neighborhood identifiers, and defined service areas for local businesses.
Track organic vs sponsored position for any keyword and location combination.
Extract and normalise daily operating hours, holiday exceptions, and timezone data.
Distinguish between paid advertisements and organic local search results.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or weekly cadences.
Brief in. Clean data out.
Provide locations, business categories, or keyword sets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for superpages.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Superpages employs scraping detection for high-volume requests. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Superpages bot detection operates on IP reputation and request volume. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing.
Superpages search results and contact reveals often require JavaScript execution. We run full Playwright browser sessions to trigger lazy-loads and reveal hidden contact data.
Directory structures change. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
We navigate complex category and location pagination trees to ensure comprehensive data capture across thousands of local search result pages.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and coverage drops. SLA uptime is contractual.
Agencies track NAP consistency, citation building, and competitor rankings across local directories.
B2B sales teams extract verified local business contact details to build targeted outreach lists.
Analysts track business density, category growth, and regional service availability to identify market opportunities.
Data providers append Superpages operating hours, ratings, and category data to their existing business records.
Franchises monitor local competitor presence, review sentiment, and sponsored ad placements.
Machine learning teams use structured business profile datasets to train location-based recommendation engines.
"Superpages contains millions of verified local business records, but extracting accurate NAP data across thousands of categories requires a resilient infrastructure."
Most teams underestimate the investment required: reliable Superpages scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our superpages.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 retry logic. Playwright handles JavaScript rendering and interaction flows for dynamic contact reveals.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required.
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 superpages.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Superpages is generally permissible under applicable law. DataFlirt targets only public, non-authenticated business profile and review data. We do not extract personal user data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. Superpages often masks phone numbers behind JavaScript click events. Our Playwright integration executes these events to capture the underlying contact information accurately.
Full category refreshes at weekly or monthly cadences complete within a defined execution window. Real-time extraction for specific keyword searches can be configured for sub-60-minute latency.
Yes. Each review record includes rating, text, author name, review date, and helpful votes paginated across all available review pages for a listing.
Our smallest packages start at a defined category or location list with weekly delivery. For larger national directories, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 business listings 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 one-off directory dump or a continuous local SEO monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
