Fresh as March 2026

🗂️

NACE N

Largest B2B Database of
Administrative and support service activities Companies

Access 6M+ company profiles with AI-enriched data from websites, professional networks, maps, and government registries

6M+

Company Profiles

Unified from 310M websites, Linkedin Data, Google Maps and Government Registries

93 Fields

AI-Enriched Data

500+ datapoints per company with deep-research AI analysis

4 Weeks

Full Refresh Cycle

Always fresh data with continuous updates

Trusted by 100+ GTM, Fintech, Procurement and AI leaders

The first all-in-one company dataset

310M

company websites

74M

LinkedIn company profiles

210M

Google Maps places

100M+

registry records

✨ Ultimate Business Profile

Reveals what the company truly does — generated by
deep-research AI agent analyzing at least 5 web pages,
LinkedIn, Google Maps, and government registries data.

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Complete coverage of the Administrative and support service activities sector across all countries

Top 10 Countries by Company Count

1🇺🇸United States

1M+

2🇬🇧United Kingdom

379K+

3🇩🇪Germany

317K+

4🇮🇳India

285K+

5🇫🇷France

203K+

6🇧🇷Brazil

173K+

7🇯🇵Japan

136K+

8🇪🇸Spain

134K+

9🇨🇦Canada

131K+

10🇷🇺Russian Federation

121K+

Top Sub-industries by Company Count

Explore 6M+ companies across 6 NACE divisions

🗂️

Office administrative and other business support activities

NACE N82 · 1M+ companies

🌳

Services to buildings and landscape activities

NACE N81 · 1M+ companies

🧳

Travel agency, tour operator and related activities

NACE N79 · 1M+ companies

👥

Employment activities

NACE N78 · 714K+ companies

📋

Rental and leasing activities

NACE N77 · 674K+ companies

🕵️

Security and investigation activities

NACE N80 · 406K+ companies

What's Inside Our Database

General data

7 fields

100%Fill rate — percentage of companies in the dataset with this field filled

Name — In a form that is clear to the client and already normalized for use in marketing communications

99.1%Fill rate — percentage of companies in the dataset with this field filled

Description — Reveals what the company truly does, generated by deep-research AI agent analyzing at least 5 web pages, LinkedIn, and Google Maps data

99.1%Fill rate — percentage of companies in the dataset with this field filled

Keywords — Keywords generated based on key pages of the company website

98.1%Fill rate — percentage of companies in the dataset with this field filled

Industry (NACE) — Hierarchical, four-level system (Section, Division, Group, Class) that is the European implementation of the UN's International Standard Industrial Classification (ISIC) with reasoning

91.2%Fill rate — percentage of companies in the dataset with this field filled

Domains and domain aliases — Website domains and alternative domain names or URLs used by the company

90.1%Fill rate — percentage of companies in the dataset with this field filled

Domain is alive — Website liveliness score from 0 to 1, considering hosting placeholders, parked domains, various www/http/https access options

39.4%Fill rate — percentage of companies in the dataset with this field filled

ID and Profile URL — Company ID and profile URL on Professional Network

// ...

12"name": "ExampleSaas HR",

13"domain": "examplesaas.com",

14"domain_is_alive": 0.95,

15"description": "Cloud-based HR platform for mid-size companies, offering recruitment, onboarding, and performance management tools with AI-powered candidate matching.",

16"keywords": "{\"HR software\": 100, \"recruitment platform\": 95, \"talent management\": 90, \"onboarding\": 85}",

17"industries_nace": [{"sec": "J", "subcat_code": "J62.01", "subcat_name": "Computer programming activities"}],

18"linkedin_url": "https://linkedin.com/company/examplesaas-hr",

// ...

AI-powered Market Segments

8 fields

97.9%Fill rate — percentage of companies in the dataset with this field filled

B2B/B2C — Probability that the company has B2B model. Scale: 0 means B2C, higher numbers indicate stronger B2B likelihood. Around 0.5 means both B2B and B2C

98.3%Fill rate — percentage of companies in the dataset with this field filled

Startup score — Probability that the company is startup. Scale: 0 means young/VC-backed/fast growing/innovative. 1 means big, conservative, market leader with strong positions, low growth rate and low innovation level, huge size

98.7%Fill rate — percentage of companies in the dataset with this field filled

SaaS score — Probability that the company is a SaaS business

98.1%Fill rate — percentage of companies in the dataset with this field filled

Tech company score — Probability that the company is a technology business

98.6%Fill rate — percentage of companies in the dataset with this field filled

Merchant score — Probability that the company sells physical goods

0%Fill rate — percentage of companies in the dataset with this field filled

E-commerce score — Probability that the company operates as an e-commerce business with an online store

98.1%Fill rate — percentage of companies in the dataset with this field filled

Digital Score — Probability that the company provides digital services and operates online

98.5%Fill rate — percentage of companies in the dataset with this field filled

AI score — Probability that the company is related to AI development

// ...

12"is_b2b_score": 0.95,

13"is_b2b_reasoning": "Enterprise HR software, business clients only, no consumer products...",

14"is_startup_score": 0.75,

15"is_startup_reasoning": "Series A funded, 85 employees, high growth rate, modern tech stack...",

16"is_saas_score": 0.92,

17"is_saas_reasoning": "Cloud-based subscription platform, monthly/annual pricing, self-serve signup...",

18"is_tech_score": 0.88,

19"is_tech_reasoning": "Software product company, engineering-heavy team, modern development practices...",

20"is_merchant_score": 0.05,

21"is_merchant_reasoning": "No physical products, pure software/service business...",

22"is_digital_score": 0.95,

23"is_digital_reasoning": "Fully online product, no physical presence required for delivery...",

24"is_ai_score": 0.45,

25"is_ai_reasoning": "AI-powered candidate matching mentioned, but not core AI company...",

// ...

Geography data

4 fields

83.5%Fill rate — percentage of companies in the dataset with this field filled

Company Countries — List of countries where the company has a presence

83.3%Fill rate — percentage of companies in the dataset with this field filled

Client Countries — List of countries where the company's clients are located

87.7%Fill rate — percentage of companies in the dataset with this field filled

Geo Reasoning — Explanation or reasoning behind the geographical classification

35.4%Fill rate — percentage of companies in the dataset with this field filled

HQ full address — Region, state, city, postal/zip code, street address of the company headquarters with additional notes

// ...

12"geo_countries_company": ["US", "GB"],

13"geo_countries_client": ["US", "GB", "CA", "AU", "DE"],

14"geo_reasoning": "HQ in San Francisco, US. UK office in London. Serves English-speaking markets primarily...",

15"geo_hq_country": "US",

16"geo_hq_city": "San Francisco",

17"geo_hq_postal": "94105",

18"geo_hq_street_address": "535 Mission St, Floor 14",

19"geo_hq_full_address": "535 Mission St, San Francisco, CA 94105, US",

// ...

Size, Revenue and Funding data

7 fields

93.1%Fill rate — percentage of companies in the dataset with this field filled

Company size — The estimated number of employees, based on data from professional networks, the company website, and other public data points collected from across the internet

93.1%Fill rate — percentage of companies in the dataset with this field filled

Company size range — Company size category

93.8%Fill rate — percentage of companies in the dataset with this field filled

Company size reasoning — Explanation or reasoning behind the size classification

2.4%Fill rate — percentage of companies in the dataset with this field filled

Annual revenue — Estimated or reported annual revenue of the company in USD

0.3%Fill rate — percentage of companies in the dataset with this field filled

Last round stage — Stage of the last round (Seed, Series A, etc.)

0.2%Fill rate — percentage of companies in the dataset with this field filled

Last round amount — Size of the last funding round in USD

0.3%Fill rate — percentage of companies in the dataset with this field filled

Last round date — Date of last funding round

// ...

12"size": 85,

13"size_range": [51, 200],

14"size_reasoning": "LinkedIn shows 85 employees. Team page lists leadership of 12 people...",

15"revenue_annual": 12500000,

16"funding_last_round_stage": "Series A",

17"funding_last_round_amount": 18000000,

18"funding_last_round_date": "2024-03-15",

// ...

Contact data

4 fields

29%Fill rate — percentage of companies in the dataset with this field filled

Contact Emails — Email addresses associated with the company or its key employees

30%Fill rate — percentage of companies in the dataset with this field filled

Phone numbers — Direct business phone numbers for reaching the company or relevant departments

62.7%Fill rate — percentage of companies in the dataset with this field filled

HQ Addresses — Official headquarters locations, normalized and ready for use in outreach or segmentation

15%Fill rate — percentage of companies in the dataset with this field filled

Social profiles — Links to public profiles on platforms such as LinkedIn, Facebook, Instagram, Crunchbase, Discord, Github, Pinterest, Reddit, TikTok, X, YouTube

// ...

12"contact_emails": ["hello@examplesaas.com", "sales@examplesaas.com", "support@examplesaas.com"],

13"contact_phone_numbers": "+1 415 555 0123",

14"contact_addresses": [{"country": "US", "city": "San Francisco", "postal_code": "94105", "street_address": "535 Mission St"}],

15"social_facebook_urls": ["https://facebook.com/examplesaas"],

16"social_linkedin_urls": ["https://linkedin.com/company/examplesaas-hr"],

17"social_x_urls": ["https://x.com/examplesaas"],

18"social_youtube_urls": ["https://youtube.com/@examplesaas"],

// ...

Marketing and traffic data

9 fields

10.2%Fill rate — percentage of companies in the dataset with this field filled

Marketing pixels — Which advertising platform pixels are present on the website — for example, Google Ads, Meta, Bing, LinkedIn, TikTok, Reddit, Criteo. This is a strong indicator that the company is buying paid traffic

28.7%Fill rate — percentage of companies in the dataset with this field filled

Traffic — Overall website monthly traffic

27.4%Fill rate — percentage of companies in the dataset with this field filled

Traffic growth — Year-over-year traffic growth — a negative value indicates decline

42%Fill rate — percentage of companies in the dataset with this field filled

Traffic by months — Monthly website traffic numbers over a period of months

26.9%Fill rate — percentage of companies in the dataset with this field filled

Traffic by country — Distribution of website traffic by country

28.7%Fill rate — percentage of companies in the dataset with this field filled

Pages per visit — Average number of pages viewed per visit on the company website

17.4%Fill rate — percentage of companies in the dataset with this field filled

Time on site — Average duration of user sessions on the website

16.9%Fill rate — percentage of companies in the dataset with this field filled

Web rank — Website rank according to a web analytics service

28.5%Fill rate — percentage of companies in the dataset with this field filled

Bounce rate — Website bounce rate percentage

// ...

12"marketing_pixels": ["google_ads", "meta_pixel", "linkedin_insight", "hubspot"],

13"traffic": 45200,

14"traffic_growth": 34,

15"traffic_by_country": "{\"US\": 24500, \"GB\": 8200, \"CA\": 5100, \"AU\": 3400}",

16"traffic_by_months": "{\"2024-10-01\": 38000, \"2024-11-01\": 41500, \"2024-12-01\": 45200}",

17"web_metrics_pages_per_visit": 4.2,

18"web_metrics_time_on_site": 185.0,

19"web_metrics_bounce_rate": 0.38,

20"web_rank": 125430,

// ...

Professional Network and Employees Data

9 fields

29%Fill rate — percentage of companies in the dataset with this field filled

Contact Emails — Email addresses associated with the company or its key employees

39.4%Fill rate — percentage of companies in the dataset with this field filled

Company size on LinkedIn — How many people have connected real LinkedIn profiles with this company on LinkedIn

25.3%Fill rate — percentage of companies in the dataset with this field filled

Employees growth rate yearly — Year-over-year employee growth rate

14.6%Fill rate — percentage of companies in the dataset with this field filled

Employees by department — Employee distribution by department

0.4%Fill rate — percentage of companies in the dataset with this field filled

Hiring by job title — Job openings by position

18%Fill rate — percentage of companies in the dataset with this field filled

Description (LinkedIn) — Company description from the LinkedIn profile AS IS

39.4%Fill rate — percentage of companies in the dataset with this field filled

LinkedIn ID — Unique LinkedIn company ID

39.4%Fill rate — percentage of companies in the dataset with this field filled

LinkedIn URL — URL to the company's LinkedIn profile

4.1%Fill rate — percentage of companies in the dataset with this field filled

Posts last 6 months — Recent posts (up to 10) from the company's LinkedIn profile with date, text, reactions, and recent comments

// ...

12"contact_emails": ["hello@examplesaas.com"],

13"linkedin_id": "18563241",

14"linkedin_url": "https://linkedin.com/company/examplesaas-hr",

15"size_on_linkedin": 85,

16"description_linkedin": "ExampleSaas HR is the modern HR platform that helps growing companies hire, onboard, and retain top talent...",

17"employees_growth_rate_yearly": 42.5,

18"employees_by_department": {"employees_count_technical": 35, "employees_count_sales": 20, "employees_count_marketing": 12, "employees_count_hr": 8},

19"hiring_by_job_title": ["Senior Software Engineer", "Account Executive", "Customer Success Manager"],

20"posts_last_6_months": [{"date": "2025-10-15", "reactions_count": 127, "description": "We just crossed 500 customers! Thank you to everyone who believed in us..."}],

// ...

Full Web Data

6 fields

91.2%Fill rate — percentage of companies in the dataset with this field filled

Domains and domain aliases — Website domains and alternative domain names or URLs used by the company

67.3%Fill rate — percentage of companies in the dataset with this field filled

Web size — Website volume (number of pages)

56.2%Fill rate — percentage of companies in the dataset with this field filled

Web sections — Website sections (up to 7 links, e.g. About, Services, Blog, etc.)

75.7%Fill rate — percentage of companies in the dataset with this field filled

Web languages — Languages of marketing communication with reasoning

44.8%Fill rate — percentage of companies in the dataset with this field filled

Website H1, description, title — Website tags

73.7%Fill rate — percentage of companies in the dataset with this field filled

Web homepage text — Full text from domain homepage, removed from unuseful/technical data, converted from HTML to markdown format

// ...

12"domain": "examplesaas.com",

13"domain_aliases": ["examplesaas.io", "examplesaas.app"],

14"web_size": 156.0,

15"web_sections": [{"url": "/", "title": "Home"}, {"url": "/product", "title": "Product"}, {"url": "/pricing", "title": "Pricing"}, {"url": "/customers", "title": "Customers"}, {"url": "/blog", "title": "Blog"}],

16"web_languages": ["en"],

17"web_languages_reasoning": "English only. No language switcher. US-focused SaaS product...",

18"web_title": "ExampleSaas HR - Modern HR Platform for Growing Teams",

19"web_h1": "Hire, onboard, and retain top talent",

20"web_description": "The all-in-one HR platform that helps you build great teams. Recruitment, onboarding, performance reviews, and more.",

21"web_homepage_text": "# ExampleSaas HR\n\nHire, onboard, and retain top talent\n\n## Features\n- Recruitment\n- Onboarding\n- Performance reviews...",

// ...

Google Maps Data

3 fields

26.6%Fill rate — percentage of companies in the dataset with this field filled

Number of branches — Number of branches on Google Maps

26.4%Fill rate — percentage of companies in the dataset with this field filled

Number of reviews — Number of reviews on Google Maps

26.4%Fill rate — percentage of companies in the dataset with this field filled

Extended Google Maps Data — 50+ additional fields from Google Maps including photos, opening hours, price level, business status, and more.See full schema →

// ...

12"size_gm_branches": 2,

13"size_gm_reviews": 23,

14"gm_rag_json": [{"place_id": "ChIJIQBpAG2ahYAR_6128GcTUEo", "rating": 4.8, "business_status": "OPERATIONAL", "types": ["software_company", "point_of_interest"]}],

// ...