We extract company profiles, NAP data, categorisation, and local reviews from Hotfrog. 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 hotfrog.com. All fields typed and schema-versioned.
"hotfrog_id": "HF-98234", "business_name": "Apex Plumbing Solutions", "category": "Plumbers", "description": "Commercial and residential plumbing services.", "claimed_status": true, "profile_url": "https://www.hotfrog.com/company/apex-plumbing"
| # | hotfrog_id | business_name | category | sub_category | description | established_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for NAP & Contact Data objects from hotfrog.com. All fields typed and schema-versioned.
"hotfrog_id": "HF-98234", "street_address": "124 Industrial Way", "city": "Austin", "state": "TX", "zip_code": "78701", "phone_number": "+1-512-555-0198", "website_url": "https://apexplumbingatx.com"
| # | hotfrog_id | street_address | city | state | zip_code | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operating Hours objects from hotfrog.com. All fields typed and schema-versioned.
"hotfrog_id": "HF-98234", "monday_open": "08:00", "monday_close": "18:00", "saturday_open": "09:00", "saturday_close": "14:00", "sunday_open": "None", "timezone": "America/Chicago"
| # | hotfrog_id | monday_open | monday_close | tuesday_open | tuesday_close | wednesday_open |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from hotfrog.com. All fields typed and schema-versioned.
"review_id": "REV-44921", "hotfrog_id": "HF-98234", "rating": 4.5, "reviewer_name": "Sarah Jenkins", "review_text": "Fast response time for our warehouse leak.", "review_date": "2023-11-14"
| # | review_id | hotfrog_id | reviewer_name | rating | review_title | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Products & Services objects from hotfrog.com. All fields typed and schema-versioned.
"hotfrog_id": "HF-98234", "item_name": "Emergency Pipe Repair", "item_description": "24/7 emergency dispatch for burst pipes.", "price": 150.0, "currency": "USD", "service_area_radius": 50
| # | hotfrog_id | item_id | item_name | item_description | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hotfrog scraper handles every layer of the directory: firmographics, NAP data, category taxonomies, and local reviews, with pagination management and IP rotation built in.
Extract company name, description, founding year, and employee counts directly from claimed and unclaimed profiles.
Capture strictly formatted Name, Address, and Phone number records for local SEO auditing and citation building.
Map businesses across Hotfrog's extensive multi-level category tree to ensure precise industry classification.
Extract user ratings, review text, and owner responses across business profiles for reputation analysis.
Execute searches by city, state, or postal code to build hyper-local datasets for specific geographic regions.
Extract primary websites, social media links, and visible email addresses to build actionable sales lists.
Normalise complex opening hours into structured daily schedules, accounting for timezone differences.
Identify which profiles are actively managed by business owners versus auto-generated by the directory.
Traverse deep category pagination without dropping records or hitting strict search rate limits.
Brief in. Clean data out.
Provide postal codes, cities, or category URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and pagination logic for hotfrog.com.
Schema validation, address normalisation checks, and deduplication before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory scraping requires navigating infinite loops and strict rate limits. Here is how we maintain data integrity.
Hotfrog restricts high-volume search queries. We distribute requests across a large pool of residential proxies, maintaining low concurrency per IP to mimic organic browsing behaviour and prevent blocks.
User-submitted directory data is notoriously messy. We apply NLP heuristics to normalise raw address strings into clean street, city, state, and postal code fields before delivery.
Hotfrog's category hierarchy often contains circular references. Our crawlers use deterministic frontiers and URL deduplication to ensure complete coverage without infinite crawling loops.
For ongoing syncs, we maintain a hash index of last-seen profile data. Subsequent runs only push diffs when a business updates its NAP details or receives a new review, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, dropped fields, or proxy exhaustion, resolving issues before they impact your scheduled delivery.
Sales teams use extracted contact details to build targeted outbound campaigns based on specific niches and geographic areas.
Agencies verify NAP consistency across Hotfrog and other directories to optimise client search rankings and identify missing citations.
Analysts map business density by category and postal code to identify underserved geographic areas for expansion.
Businesses track rival operating hours, service offerings, and customer review sentiment within their local market.
CRMs append missing phone numbers, addresses, and website URLs to existing sparse lead records.
Reputation management platforms ingest Hotfrog reviews to provide unified dashboards for multi-location brands.
"Hotfrog contains millions of structured local business citations, but extracting them requires navigating deep category trees and strict rate limits."
Building a reliable Hotfrog scraper means handling aggressive pagination, inconsistent address formatting, and IP bans. DataFlirt manages the proxy rotation, schema normalisation, and state tracking, delivering clean firmographics directly to your warehouse.
Everything supported by our hotfrog.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 high-concurrency crawl orchestration and deduplication, while Playwright manages complex interactions and dynamic content rendering.
We maintain pools of residential ISP proxies. Rotation happens per-request to prevent IP bans and ensure continuous directory traversal.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management, with all state stored securely in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About hotfrog.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public business directory data is generally permissible. We extract only public firmographics and reviews, avoiding authenticated owner portals or private messaging systems.
We distribute requests across a large pool of residential proxies, maintaining low concurrency per IP to mimic organic browsing behaviour and prevent automated blocks.
Yes. We can seed the crawler with specific postal codes, city names, or category URLs to restrict the extraction scope to your exact requirements.
We use NLP heuristics to normalise raw address strings into structured street, city, state, and postal code fields, achieving high accuracy even on user-submitted data.
We extract email addresses if they are publicly visible on the Hotfrog profile. We do not guess or append emails from external sources.
For targeted lists, we can run daily or weekly diffs. Full-site crawls of Hotfrog require longer cycles, typically running on a monthly cadence due to directory size.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a targeted list of local plumbers or a nationwide directory sync - we scope, build, and operate the pipeline. Tell us what you need.
