Four data categories
People Profiles
Professional identities, employment history, skills, education, and career trajectory
600M+ records · 200+ countries
Company Data
Industry classification, headcount, hiring signals, headquarters, and descriptions
200M+ records · all major markets
Creator Profiles
YouTube, TikTok, and Instagram — subscriber counts, engagement, categories, contact
1B+ profiles · YouTube, TikTok, Instagram
Reviews & Ratings
G2, Glassdoor, Capterra, Clutch — structured review data for intelligence and NLP
100M+ reviews · verified sources
Browse all 18+ datasets → Request a free sample
Data at a glance
600M+
People profiles
200M+
Company records
1B+
Creator profiles
100M+
Reviews & ratings
Request a free sample Or get started free →
Extract
Extractor Marketplace
500+ pre-built extractors for any website. Point, click, run — no code required
REST API
Query any dataset or trigger any extractor programmatically. Full docs and SDKs
Deliver
Dataset Marketplace
Ready-made datasets. Download once or subscribe to scheduled refresh feeds
Integrations & Delivery
S3, GCS, SFTP, Zapier, webhooks. Data lands where you need it automatically
Need it done for you?
Managed Data Extraction
Tell us the website, the data fields, and the frequency. We handle everything — architecture, proxies, anti-bot, and delivery. Clean data on schedule, no platform required.
See Managed Extraction →
What we do
Any public website, any scale
Give us a target site and requirements. We extract, clean, and deliver structured data on a schedule you define — no infrastructure needed on your side
We handle the hard parts
Anti-bot bypass, CAPTCHA solving, browser fingerprinting, JavaScript rendering, proxy rotation, and schema design — all managed by our team
Delivered to your pipeline
Real-time API, scheduled files, or webhooks. Data lands in S3, GCS, SFTP, or your destination of choice — on the cadence you need
Dedicated account manager
A named person on every project. They handle onboarding, monitor delivery, and respond to issues the same day
Explore managed extraction → 💬 Message us on WhatsApp
How it works
1
Tell us your requirements
Target sites, data fields, delivery format, and refresh frequency. A 20-minute call is usually enough to scope.
2
We build and test
Our team builds the extractors, validates against your schema, and delivers a sample for your approval before going live.
3
Data arrives on schedule
Continuous delivery with monitoring. Your dedicated account manager handles any site changes or issues.
Get started
Book a discovery call 💬 Message us on WhatsApp
B2B & Sales
AI SDR Platforms
People and company data for automated prospecting, personalisation, and AI-driven outreach sequences
Sales Intelligence
LinkedIn profiles and company data as a full enrichment layer for account intelligence and CRM tools
AI Recruiting Platforms
Candidate profile data for sourcing engines, skills-based matching, and AI-powered recruiting tools
AI & Model Training
Training data, RAG pipelines, and agent enrichment. Schema-consistent records ready for ingestion
Creator & Influencer
Influencer Marketing Platforms
Creator discovery, audience analytics, and campaign management tools built on YouTube, TikTok, and Instagram data
Creator Discovery Tools
Search and filter 200M+ YouTube channels and 100M+ TikTok profiles by niche, follower tier, engagement, and location
Creator Intelligence
Engagement benchmarks, subscriber growth trends, SEO scores, and contact emails across all major platforms
Travel Intelligence
Rate Parity Monitoring
Track hotel and airline pricing across OTA and direct channels. Detect parity breaches in real time
Competitive Rate Intelligence
Monitor competitor pricing across target routes and properties. Feed directly into revenue management systems
OTA Aggregation
Normalised pricing and availability data across 19+ OTAs and brand sites. One schema, all sources
Reviews Intelligence
Competitive Intelligence
Monitor competitor ratings, review trends, and sentiment shifts across G2, Glassdoor, and Capterra
Voice of Customer
Structured review data for NLP, sentiment modelling, and product intelligence at scale
Employer Intelligence
Track employer sentiment, interview experience, and culture signals across Glassdoor and Clutch
The data layer for AI platforms
For Platform Builders
Scale, fill rates, custom schema, and flat file delivery. Built for teams embedding structured data inside their own product.
600M+ people · 200M+ companies · 200M+ creator profiles
Platform types we work with
AI SDR Platforms
People and company data for automated prospecting and AI-driven outreach
AI Recruiting Platforms
Candidate profile data for sourcing engines and skills-based matching tools
Influencer Marketing Platforms
Creator profile data across YouTube, TikTok, and Instagram for discovery and analytics tools
Sales Intelligence Platforms
Enrichment layers, account intelligence, and buying signal tools for GTM teams
Signal Intelligence Platforms
Review and rating data signals for reputation, voice-of-customer, and buying-signal tools
See all platform use cases → Request a free sample
Why platform builders choose us
95%+
Average fill rate on core fields
50+
Fields per record
90day
Standard refresh cycle
$500
Per website build for managed extraction
Request a free sample View platform data page →
Learn
Blog
Data guides, use case walkthroughs, and product updates
Customer Stories
How teams at Oliver Wyman, CreatorIQ, and Fornova use our data
Build
API Documentation
Full reference docs, endpoints, authentication, and code examples
Integrations
Connect to S3, GCS, SFTP, Zapier, webhooks, and more
Support
Help Centre
Documentation, how-to guides, and troubleshooting
Contact Us
Email, WhatsApp, or book a call with our team
WebAutomation
Pricing
Get started free
Signal Intelligence Layers

The review data layer
behind signal intelligence.

Structured review and rating data from the platforms your market talks on. The signal layer that powers reputation intelligence, voice-of-customer analytics, and buying-signal detection.

Request a free sample → Talk to our team
Reviews from G2, Trustpilot, Capterra, Google, Amazon, and app stores
Full review text with ratings, timestamps, and reviewer context
Custom schema mapped to your existing data model
Delivered via API, flat file, or managed extraction
Review signal coverage
250M+
Reviews across sources
40+
Review platforms covered
30+
Fields per review record
92%+
Avg fill rate on core fields
Request a free sample → View dataset pricing
250M+
Reviews across sources
40+
Review platforms
30+
Fields per record
92%+
Average fill rate
24hr
Fastest refresh cadence
What review signal platforms build
Four products. One
underlying review layer.

Signal intelligence platforms use the same core data — structured reviews and ratings — to power very different products. Here is how each one uses it.

Reputation intelligence

Track ratings, review volume, and review velocity across every product, brand, or location. Alert on rating dips and negative-review spikes before they show up in revenue.

Google Reviews + Trustpilot

Voice-of-customer analytics

Mine full review text for feature requests, recurring complaints, and sentiment trends. Feed clean, structured review corpora straight into NLP and LLM pipelines.

G2 + Capterra + App Stores

Competitor intelligence

Monitor competitors’ reviews for churn signals, pricing complaints, and switching intent. Know what their customers dislike before your sales team calls them.

G2 + Trustpilot

Buying-signal detection

A spike in negative reviews at a competitor means accounts in a switching moment. Surface them as buying signals and route them to sales while the window is open.

G2 + Capterra
How the signal layer works
From raw reviews to
actionable signals.

A typical signal platform starts from a list of products, companies, or locations and turns the public review record into structured, trackable signals. Here is what our data adds at each layer.

Signal flow — review data as the layer

Input

  • Product or company list
  • Location list
  • Competitor set
→

Review collection

  • Full review text
  • Star rating and date
  • Reviewer name and context
  • Verified purchase flag
  • Owner responses
→

Signal extraction

  • Rating trendlines
  • Review velocity shifts
  • Sentiment movement
  • Switching-intent mentions
  • Feature gap themes
Output delivered to your platform
Sentiment trendlines Churn-risk signals Switching-intent accounts Feature gap reports Reputation alerts Competitive benchmarks
Data specification
The fields signal platforms
depend on most.

Fill rates reported per field before purchase. No surprises on coverage after you have integrated.

Review records — core fields

Full review text 99%+
Star rating 99%+
Review date 98%+
Source URL 99%+
Reviewer name 95%+
Reviewer role and company (B2B sources) 88%+
Verified purchase flag
Owner / vendor response
Helpful vote count
Review language

Source coverage

G2 B2B SaaS
Capterra B2B SaaS
Trustpilot Brands
Google Reviews Local
Amazon product reviews E-commerce
App Store & Google Play Apps
TripAdvisor Travel
Yelp Local
Glassdoor Employer
Any other review source via managed extraction

Custom schema mapping available. Field names and structure matched to your data model on request. Request a free sample to validate coverage before committing.

Related solutions
Other pages that might
be relevant.
Sales intelligence
Sales Intelligence Platforms
LinkedIn profiles and company records as a full enrichment layer for account intelligence and GTM research tools.
 AI SDR
AI SDR Platforms
People and company data for automated prospecting, outreach personalisation, and AI-driven sales sequences.
 Platform builders
Data for AI Platforms
The broader data layer for any AI product — schema customisation, fill rates, and flat file delivery at scale.

See the signal before
you commit to anything.

Request a free sample from any review dataset. Delivered within one business day. No contract, no credit card.

Request a free sample → Talk to our team