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
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
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
AI Recruiting Platforms

Candidate data for
AI-powered
recruiting platforms.

600M+ LinkedIn profiles with skills, employment history, education, and seniority. The candidate data layer that powers AI sourcing engines, matching algorithms, and recruiting intelligence tools.

Request a free sample → Talk to our team
600M+ profiles across 190+ countries
91%+ fill rate on employment history — the field matching depends on
Skills, education, seniority, and career progression included
Job board data available as a secondary feed via managed extraction
Candidate data coverage
600M+
LinkedIn profiles
190+
Countries covered
91%+
Fill rate on employment history
50+
Fields per profile
Request a free sample → View dataset pricing
600M+
Candidate profiles
190+
Countries
91%+
Employment history fill rate
88%+
Skills fill rate
50+
Fields per profile
Core use cases
Sourcing and matching.
Both need the same data.

AI recruiting platforms use LinkedIn profile data at two points in the workflow. The data requirements are the same — what differs is how each product surfaces it to the recruiter.

Candidate sourcing

Finding the right candidates at scale

Sourcing engines need to search millions of profiles by role, skills, seniority, location, and career history to surface the candidates most likely to be open to a move and right for the role. Scale and freshness are the primary requirements — the larger and more current the dataset, the better the discovery coverage.

Filter by title, skills, seniority, location, and industry
Quarterly refresh keeps coverage current
Custom subset by geography, function, or experience level
Skills-based matching

Matching candidates to roles with precision

Matching algorithms need structured, consistent skills data across millions of profiles. Career progression, tenure, education, and skills lists feed the model that decides whether a candidate is a strong fit. The quality of the match output is directly limited by the completeness of the input data.

88%+ fill rate on structured skills lists
Employment history with tenure and progression
Education, certifications, and total experience years
Where data fits in the workflow
How AI recruiting platforms
use our data at each step.

Three distinct points in the recruiting workflow. Each step draws on different fields from the same LinkedIn profile dataset.

1

Candidate universe construction

The platform builds and maintains a searchable candidate pool. Requires high-volume profiles with consistent schema so the search index works across millions of records without gaps.

LinkedIn Profiles

Fields: full_name, job_title, seniority, location_country, location_city, skills, employment_history, last_updated

2

Relevance scoring and matching

For a given role, the AI scores every candidate in the pool on fit. Career trajectory, skills overlap, and education signal readiness for a role. Employment history fill rate directly affects match quality.

LinkedIn Profiles

Fields: skills, employment_history, career_progression, education, total_experience_years, certifications, current_title

3

Recruiter-facing profile view

The recruiter sees a structured profile view of each shortlisted candidate. The richer the underlying data, the more useful the profile card and the faster the recruiter can make a decision.

LinkedIn Profiles

Fields: headline, about, employment_history, education, skills, connections, profile_url, last_updated

Data specification
The fields recruiting platforms
depend on most.

Fill rates vary by field. These are the fields AI recruiting platforms use most often, with the coverage you can expect. Full field-level fill rates shared before purchase.

Identity and contact

Full name 99%+
Profile URL 99%+
Profile headline 96%+
About / summary
Profile photo URL
Connections count

Role and seniority

Current job title 97%+
Current employer 96%+
Seniority level 95%+
Department / function
Start date in role
Time in current role

Location

Country 95%+
City 94%+
Region / State
Timezone

Employment history

Previous employers 91%+
Previous titles
Tenure per role
Career progression
Total experience years
Industry changes

Skills and education

Skills list 88%+
Certifications
Education institution
Degree and field of study
Graduation year

Metadata

Last updated timestamp
Record fill rate score
LinkedIn profile ID
Data source tag

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

Secondary data feed
Job board data via managed extraction
Add live job postings as
a demand-side signal.

LinkedIn profile data tells you who candidates are. Job board data tells you what companies are hiring for right now. Together they let your platform match active candidates to live roles and surface intent signals your competitors cannot see.

Entire job boards crawled on your schedule
Role, seniority, tech stack, and location extracted
New postings detected within 24 hours of going live
Delivered as a flat file feed alongside your profile data
LinkedIn Jobs Indeed Greenhouse Lever Workday + more
Book a discovery call Send us a brief
Client story
"

The employment history fill rate was the deciding factor. Every other provider we tested had gaps that broke our matching model. When a candidate's career history is incomplete, the relevance score degrades and recruiters stop trusting the output. WebAutomation's coverage on that field specifically is what made the difference.

AR
Head of Data Products
AI Recruiting Platform
Coverage that matching depends on
People profiles600M+
Employment history fill rate91%+
Skills fill rate88%+
Countries covered190+
Related solutions
Other pages that might
be relevant.
AI SDR
AI SDR Platforms
People and company data for automated prospecting, personalisation, and AI-driven outreach sequences.
 Sales Intelligence
Sales Intelligence Platforms
LinkedIn profiles and company records as a full enrichment layer for account intelligence 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 candidate data
before you commit.

Request a free sample from our LinkedIn Profiles dataset. Delivered within one business day with field-level fill rates included. No contract, no credit card.

Request a free sample → Talk to our team