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
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500+ pre-built extractors for any website. Point, click, run — no code required
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S3, GCS, SFTP, Zapier, webhooks. Data lands where you need it automatically
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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.
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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
Signal Intelligence Platforms
Enrichment layers, account intelligence, and buying signal tools for GTM teams
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
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Data guides, use case walkthroughs, and product updates
Customer Stories
How teams at Oliver Wyman, CreatorIQ, and Fornova use our data
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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
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AI SDR Platforms

The people and company
data your AI SDR
runs on.

600M+ LinkedIn profiles and 200M+ company records. The contact and account data that powers automated prospecting, personalised outreach, and AI-driven sales sequences.

Request a free sample → Talk to our team
600M+ people profiles with employment history and seniority
200M+ company records with headcount and hiring signals
95%+ fill rate on core fields. Reported per field before purchase.
Flat file delivery to S3, GCS, SFTP or direct download
Coverage for AI SDR
600M+
People profiles
200M+
Company records
95%+
Avg fill rate on core fields
50+
Fields per profile
Request a free sample → View dataset pricing
600M+
People profiles
200M+
Company records
50+
Fields per profile
95%+
Average fill rate
190+
Countries
What AI SDR platforms need
Three data requirements.
One provider.

AI SDR platforms run on three things: knowing who to contact, knowing enough about them to personalise, and knowing the right company context to time the outreach. All three come from LinkedIn data.

Contact identification

Names, titles, seniority, and employment history at scale. Your AI needs to know who the right person is at each account before it can write the first word of outreach.

LinkedIn Profiles dataset

Personalisation signals

Career trajectory, skills, education, and career transitions. The richer the profile data, the more specific the personalisation your AI can generate — and the higher the reply rate.

LinkedIn Profiles dataset

Account context

Company headcount, industry, hiring signals, and HQ location. Account-level context lets your AI sequence choose the right message angle and the right timing for each target account.

LinkedIn Companies dataset
How it fits into the pipeline
Where our data sits inside
an AI SDR workflow.

Most AI SDR platforms use LinkedIn data at three points in the pipeline. Here is how each step maps to specific fields.

1

Prospect identification

The AI identifies which contacts match the ICP. Requires title, seniority, company, industry, headcount, and geography fields to filter the universe down to qualified prospects.

LinkedIn Profiles

Fields used: job_title, seniority, company_name, company_industry, company_headcount, location_country, location_city

2

Message personalisation

The AI writes the first line. Career transitions, recent employer changes, shared skills, and tenure signals are what separate a generic opener from one that gets a reply.

LinkedIn Profiles

Fields used: employment_history, skills, headline, career_progression, education, total_experience_years

3

Account timing and routing

The AI decides when to send and which sequence to trigger. Hiring signals, company growth, and headcount changes tell it which accounts are in a buying moment right now.

LinkedIn Companies

Fields used: hiring_signal, employee_growth, headcount, recent_hires_in_function, company_hq_country

Data specification
The fields AI SDR platforms
depend on most.

Fill rates vary by field. These are the fields AI SDR platforms use most often and the coverage you can expect.

LinkedIn Profiles — key fields

Full name 99%+
Job title 97%+
Current employer 96%+
Seniority level 95%+
Location (country) 95%+
Employment history 91%+
Skills list 88%+
Profile headline
Education
Last updated timestamp

LinkedIn Companies — key fields

Company name 99%+
Industry 97%+
Headcount 95%+
HQ country 96%+
HQ city 93%+
LinkedIn company ID
Company description
Hiring signal
Website URL
Specialities / tags

Full data dictionary and field-level fill rates available on request. Request a free sample to see field coverage before committing.

Related solutions
Other pages that might
be relevant.
Sales Intelligence
AI Sales Intelligence Platforms
Account enrichment, company signals, and contact data for sales intelligence layers and CRM enrichment tools.
 AI Recruiting
AI Recruiting Platforms
LinkedIn profile data for candidate sourcing, matching, and AI-powered recruiting tools.
 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 data before
you commit to anything.

Request a free sample from our LinkedIn Profiles or Companies dataset. Delivered within one business day. No contract, no credit card.

Request a free sample → Talk to our team