Review & Rating Scraping
Get actionable business data, find customers, and track competitors with our Review scraping dataset.
- Reviews from Google, TripAdvisor, Yelp, Trustpilot, Booking.com
- Accurate review data, deduplicated and verified
- Free sample for download in JSON or CSV — no credit card needed
Download a sample of our Review scraping dataset
Find new clients and close more deals with the world's best business leads provider. Grab a 25-row sample CSV — same schema as the paid extracts, real records, no card required.
- · 25 real records with the full schema
- · UTF-8 CSV — opens in Excel, Sheets, Airtable
- · Documented fields and data types
- · No credit card · sent to your inbox
Why choose us for your business
The same operating principles every project, regardless of scope: flexible, secure, scalable.
Flexible
Custom-built per project. Tell us the source, the fields, the volume, the cadence — we deliver to that exact spec.
Secure
Stripe-secured checkout, GDPR-aware delivery, signed download URLs that expire. Your data and your buyers' privacy are protected end-to-end.
Scalable
From a single suburb pull to a daily multi-million-record pipeline. Same infrastructure, scaled to whatever volume you need.
How B2B Connection helps businesses with review scraping
Pull complete review history for any business, location or product across the major review platforms — Google Reviews, TripAdvisor, Yelp, Trustpilot, Booking.com, Facebook Reviews. Output includes rating, reviewer name and profile, full review text, photos, business reply (where present), and the original timestamp.
Used by reputation-management agencies, hospitality groups tracking competitor sentiment, e-commerce teams running review-driven SEO, and academic researchers analysing consumer behaviour at scale.
What's included
- Complete review history (not just the latest 100)
- Sentiment-ready text extracts
- Structured response/reply mapping
- Cross-platform deduplication of the same reviewer
- GDPR-aware (removes PII on request)
Common use cases
- Reputation management dashboards
- Sentiment analysis and feature mining
- Academic / market research at scale
- Lead lists of negative-review-burdened venues
Why enterprises use B2B Connection
Six things our buyers consistently mention when they renew or refer us.
1,500+ clients
From SaaS vendors to global recruiters and hospitality groups, across Australia, the US and Europe.
500M+ records scraped
180M phones, 100M+ emails, deduplicated and verified across our pipelines.
Stripe-secured checkout
Card data never touches our servers. Refunds processed inside Stripe's standard 5-business-day window.
GDPR-aware delivery
Optional PII stripping for EU-bound deliveries. Data retention defaults to 30 days post-handover.
Same-day quotes
Project briefs quoted within one business day. First sample within five.
Spam Act 2003 compliant
All B2B records sourced from publicly listed business pages — inferred-consent safe under Australian and US/UK rules.
Related services
Google Maps Scraping
Extract every business listed on Google Maps for any region or category — names, addresses, phones, websites, ratings, reviews and social profiles.
Custom Web Scraping
Pull structured data from any public website — directories, marketplaces, news sites, B2B catalogues, real-estate portals.
TripAdvisor Scraping
Comprehensive TripAdvisor data — venue listings, full review history, photos, ranking position, attractions, hotels, and restaurants.
Ready to get a quote for review & rating scraping?
Tell us your source, fields and timeline. We'll respond within one business day.
Frequently asked questions
Is it legal to scrape review platforms?
Yes — extracting public information at reasonable rate limits is permitted in Australia, the US, the UK and most jurisdictions. We respect each platform's robots.txt, throttle requests appropriately, and never extract data from behind a login wall. Output is sourced exclusively from publicly accessible pages.
How accurate is the data?
Every record is cross-referenced against at least two independent sources before delivery, deduplicated by ABN / EIN / VAT number where available, and re-verified on a configurable cadence (typically quarterly). For a fresh extract, you can typically expect 95%+ accuracy on phone, address and website fields, and 70–90% on email coverage depending on the source.
What format do I get the data in?
Standard delivery is a single ZIP containing CSV (UTF-8, header row), XLSX (with a second sheet documenting the schema), and a README. JSON output is available on request, and direct delivery to your CRM (HubSpot, Salesforce, Pipedrive, Attio) or warehouse (BigQuery, Snowflake, Postgres) is available as part of our automation service.
How quickly can you deliver?
Most review scraping projects ship in 1–7 business days from sign-off, depending on volume. We share a sample within 24 hours so you can verify the schema before the full extract runs.
Can I extract data for a specific region or category?
Yes. Specify any country, state, city, suburb, postcode, or category filter you need. We can also combine filters (e.g. "all cafes in Sydney with 4.5★+ rating") for highly targeted slices.
Do you offer ongoing / scheduled refreshes?
Yes. We can run the same extract on a daily, weekly or monthly schedule and deliver only the deltas (new + changed records) so your downstream systems stay in sync without re-importing everything. This is part of our data automation service.
What if I need a custom field that's not in your standard schema?
Tell us during the brief and we'll quote the addition. We can typically pull any publicly visible field on the source page — additional fees may apply for fields that require deeper extraction logic.
How do I get started?
Send us a brief via the contact page describing what you need: the source, the geographic or category scope, the fields you need, the volume, and the format you want. We'll respond with a fixed-price quote within one business day.