Fresh as December 2025
Largest B2B Database of Companies
in Guatemala
Access 29K+ company profiles with AI-enriched data from websites, professional networks, maps, and government registries
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+29K+
Company Profiles
Unified from 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.
Complete coverage across all regions & industries in Guatemala
Top 10 Regions by Company Count
1Quetzaltenango
2112Alta Verapaz
1983Escuintla
1904Sacatepéquez
1835Sololá
1616Guatemala
1497Petén
1418Izabal
1299Chimaltenango
12510Sacatepequez
105Top 15 Industries by Company Count
What's Inside Our Database
General data
7 fields99%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
97.5%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
97.5%Fill rate — percentage of companies in the dataset with this field filled
Keywords — Keywords generated based on key pages of the company website
19.7%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%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
89.5%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
40.1%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
7 fields87.1%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
96.3%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
90.6%Fill rate — percentage of companies in the dataset with this field filled
SaaS score — Probability that the company is a SaaS business
94.6%Fill rate — percentage of companies in the dataset with this field filled
Tech company score — Probability that the company is a technology business
78.7%Fill rate — percentage of companies in the dataset with this field filled
Merchant score — Probability that the company sells physical goods
94.8%Fill rate — percentage of companies in the dataset with this field filled
Digital Score — Probability that the company provides digital services and operates online
95.2%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 fields62.2%Fill rate — percentage of companies in the dataset with this field filled
Company Countries — List of countries where the company has a presence
61.6%Fill rate — percentage of companies in the dataset with this field filled
Client Countries — List of countries where the company's clients are located
66.1%Fill rate — percentage of companies in the dataset with this field filled
Geo Reasoning — Explanation or reasoning behind the geographical classification
35.6%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 fields74.3%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
74.3%Fill rate — percentage of companies in the dataset with this field filled
Company size range — Company size category
75.5%Fill rate — percentage of companies in the dataset with this field filled
Company size reasoning — Explanation or reasoning behind the size classification
2.5%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 fields15.7%Fill rate — percentage of companies in the dataset with this field filled
Contact Emails — Email addresses associated with the company or its key employees
8.9%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
62.3%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
10.8%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": ["[email protected]", "[email protected]", "[email protected]"],
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 fields10.8%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
25.4%Fill rate — percentage of companies in the dataset with this field filled
Traffic — Overall website monthly traffic
24%Fill rate — percentage of companies in the dataset with this field filled
Traffic growth — Year-over-year traffic growth — a negative value indicates decline
35.1%Fill rate — percentage of companies in the dataset with this field filled
Traffic by months — Monthly website traffic numbers over a period of months
23.9%Fill rate — percentage of companies in the dataset with this field filled
Traffic by country — Distribution of website traffic by country
25.4%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
15.9%Fill rate — percentage of companies in the dataset with this field filled
Time on site — Average duration of user sessions on the website
15.3%Fill rate — percentage of companies in the dataset with this field filled
Web rank — Website rank according to a web analytics service
25.2%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 fields15.7%Fill rate — percentage of companies in the dataset with this field filled
Contact Emails — Email addresses associated with the company or its key employees
40.1%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
25.2%Fill rate — percentage of companies in the dataset with this field filled
Employees growth rate yearly — Year-over-year employee growth rate
15%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
18.2%Fill rate — percentage of companies in the dataset with this field filled
Description (LinkedIn) — Company description from the LinkedIn profile AS IS
40.1%Fill rate — percentage of companies in the dataset with this field filled
LinkedIn ID — Unique LinkedIn company ID
40.1%Fill rate — percentage of companies in the dataset with this field filled
LinkedIn URL — URL to the company's LinkedIn profile
4.2%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": ["[email protected]"],
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 fields91%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
82.5%Fill rate — percentage of companies in the dataset with this field filled
Web size — Website volume (number of pages)
67.3%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.)
76.9%Fill rate — percentage of companies in the dataset with this field filled
Web languages — Languages of marketing communication with reasoning
39.7%Fill rate — percentage of companies in the dataset with this field filled
Website H1, description, title — Website tags
72.9%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 fields22.2%Fill rate — percentage of companies in the dataset with this field filled
Number of branches — Number of branches on Google Maps
22.2%Fill rate — percentage of companies in the dataset with this field filled
Number of reviews — Number of reviews on Google Maps
22.2%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"]}],
// ...
Technologies
1 fields4.4%Fill rate — percentage of companies in the dataset with this field filled
Technologies — Technologies used by the company, obtained from open sources (e.g., DNS records or website content)
Corporate messengersCRM and ERP systemsPayment service providerProductivity tools
// ...
12"technologies": ["react", "typescript", "aws", "stripe", "intercom", "segment", "mixpanel", "slack"],
13"marketing_pixels": ["google_ads", "meta_pixel", "linkedin_insight", "hubspot"],
// ...
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