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2
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3
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B2B & Sales
AI SDR Platforms
People and company data for automated prospecting, personalisation, and AI-driven outreach sequences
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LinkedIn profiles and company data as a full enrichment layer for account intelligence and CRM tools
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Candidate profile data for sourcing engines, skills-based matching, and AI-powered recruiting tools
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Training data, RAG pipelines, and agent enrichment. Schema-consistent records ready for ingestion
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Creator discovery, audience analytics, and campaign management tools built on YouTube, TikTok, and Instagram data
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Search and filter 200M+ YouTube channels and 100M+ TikTok profiles by niche, follower tier, engagement, and location
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Engagement benchmarks, subscriber growth trends, SEO scores, and contact emails across all major platforms
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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
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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
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Data Dictionary

Linkedin Profiles Dataset
Data Dictionary

Every field, its real fill rate, data types, example values and country-level coverage — computed directly from the live dataset. 784.9M+ records.

Dataset at a glance
Total records784.9M+
Fields documented37
Countries covered197
Avg fill (core)49.6%
Last updatedNov 2026
Fill rates
Coverage across core fields.

Fill rate = the share of records where the field holds a real (non-empty, non-placeholder) value. Measured at record level across the full collection.

100.0%
linkedin_url
100.0%
timestamp
96.0%
country
96.0%
location
96.0%
first_name
92.0%
last_name
64.2%
experience
61.2%
state
Field dictionary
Every field. Fully documented.

Search by field name. Fill rates are computed live from the dataset collection.

Showing all 29 fields
Field nameTypeDescriptionExampleFill rate
linkedin_url string — https://www.linkedin.com/in/daniel-meadows-44346b92
100.0%
timestamp date — 2025-12-24T01:13:18Z
100.0%
country string ISO country name. Luxembourg
96.0%
location string Location can be region, city or state. Lille, Hauts-de-France, France
96.0%
first_name string First Name Susanne
96.0%
last_name string Last Name Kers
92.0%
experience array List of work experience including job title, company, company information, time period, and summary. —
64.2%
state string — Lombardy
61.2%
seniority_level string — Founder
58.8%
city string — Berlin
53.5%
expertise text List of skills of the person. None
37.5%
education array List of educational degrees for profile. —
35.8%
title string General job title. Teamleider Verpakken
19.2%
functional_area string — C-level/Leadership
15.6%
languages array Reported languages for profile. Englisch
9.7%
certifications array List of certifications for profile. —
8.6%
awards array List of awards for profile. {"title": "AIA Architecture Indiana Finalist", "issuer": "American Institute of Architects", "description": "", "date":
2.4%
publications array List of publications for profile. —
1.4%
patents array — —
0.1%
current_industry string Industry, inferred from the person's current company. —
0.0%
departments array — Other
0.0%
linkedin_id string — —
0.0%
memberships array List of memberships for profile. —
0.0%
personal_email array Person primary personal email. —
0.0%
phone_numbers array Person phone number. {"raw_number": "+1 703-602-1717", "sanitized_number": "17036021717"}
0.0%
prior_industries array — —
0.0%
profile_picture string Link to profile picture on our S3. —
0.0%
seniority string — Founder
0.0%
summary string Summary from LinkedIn (about section). —
0.0%

Fields showing 0% are present in the schema but not currently populated for this collection.

Sample records
Real records from the live dataset.

Real records with identity fields redacted. Request a sample to validate against your use case.

Country coverage
Top countries by record count.

Record counts and per-field fill rates across the largest countries in this dataset.

CountryRecordslocation fillfirst_name filllast_name fillexperience fill
1United States184,344,060100.0%100.0%99.4%70.4%
2India89,548,564100.0%100.0%98.4%61.0%
3Brazil49,189,487100.0%100.0%99.4%69.0%
4United Kingdom32,394,734100.0%100.0%99.4%69.7%
5China27,646,561100.0%100.0%20.9%70.6%
6France25,157,325100.0%100.0%99.1%67.4%
7Canada20,764,071100.0%100.0%99.3%68.6%
8Italy15,676,069100.0%100.0%99.7%64.6%
9Indonesia15,534,578100.0%100.0%98.5%65.6%
10Mexico15,494,013100.0%100.0%99.5%63.9%
11Spain14,612,786100.0%100.0%99.4%66.6%
12Germany13,478,269100.0%100.0%99.5%68.2%
13Australia12,735,926100.0%100.0%99.0%69.7%
14Turkey10,967,507100.0%100.0%99.5%63.6%
15Netherlands9,816,589100.0%100.0%99.4%69.0%
16Colombia9,341,737100.0%100.0%99.7%62.8%
17Argentina9,071,972100.0%100.0%99.7%61.2%
18South Africa8,864,378100.0%100.0%99.1%69.3%
19Philippines8,284,248100.0%100.0%99.0%66.0%
20Pakistan6,485,782100.0%99.9%98.7%64.9%

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Request a free sample and we'll send a representative extract from Linkedin Profiles Dataset within one business day.