US Hotels & Resorts Industry Professionals and Organizations Dataset 2025 – 246.9k records CSV
$130.00
The Hotels & Resorts Industry Professionals and Organizations Dataset is a highly specialized digital product tailored exclusively for professionals, researchers, marketers, and analysts focused on the “hotels,” “resorts,” or “suites” sectors within the United States.
Description
Published April, 2025
This dataset is refined to ensure that only entries mentioning these terms in their respective description fields are included, guaranteeing relevance and accuracy for users targeting this niche industry.
It includes two comprehensive CSV files:
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- People Data File: This file is a detailed registry of professionals working in or connected to the hotels, resorts, and suites sectors. The dataset provides essential information such as names, job titles, functions, seniority levels, contact details, LinkedIn profiles, locations, and more, all carefully selected to fit the industry niche.
- Organizations Data File: The organizations file focuses on businesses explicitly tied to the hotels, resorts, and suites domains. It delivers vital details including company names, financial data, employee sizes, relevant keywords, industry categorizations, technology usage, social media presence, geographical data, and funding information, offering a deep dive into the market landscape.
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Detailed CSV Contents
Below is a detailed breakdown of the column names for both files:
People Data File (215.5k records)
| Column Name | Description |
|---|---|
person_name |
Full name of the person. |
person_first_name_unanalyzed |
First name of the individual (raw and unprocessed). |
person_last_name_unanalyzed |
Last name of the individual (raw and unprocessed). |
person_name_unanalyzed_downcase |
Full name in lowercase format for standardized search or sorting. |
person_title |
Current job title of the individual (e.g., General Manager, Sales Director). |
person_functions |
Primary functions or roles in the organization (e.g., Sales, Marketing, Operations). |
person_seniority |
Seniority level (e.g., Entry-Level, Manager, Executive). |
person_email_status_cd |
Status of the email address (e.g., verified or unverified). |
person_extrapolated_email_confidence |
Confidence level in the extrapolated email’s accuracy. |
person_email |
Email address of the individual (if available). |
person_phone |
Phone number of the person. |
person_sanitized_phone |
Phone number with formatting standardized. |
person_email_analyzed |
Analysis of the email (e.g., domain validation or activity). |
person_linkedin_url |
URL to the individual’s LinkedIn profile (if available). |
person_detailed_function |
Expanded description of the person’s professional functions. |
person_title_normalized |
Normalized job title for improved categorization. |
primary_title_normalized_for_faceting |
Simplified and normalized title for filtering or categorization in databases. |
sanitized_organization_name_unanalyzed |
Unprocessed name of the organization the person is affiliated with. |
person_location_city |
City where the individual is located. |
person_location_city_with_state_or_country |
City along with state or country for more detailed geographical data. |
person_location_state |
State/province where the individual is located. |
person_location_state_with_country |
State/province along with country for improved geographical detail. |
person_location_country |
Country of the individual’s location. |
person_location_postal_code |
Postal code of the individual’s location. |
job_start_date |
Start date at the individual’s current position. |
current_organization_ids |
ID(s) of the organization(s) the individual is affiliated with. |
modality |
Communication modality (e.g., email, phone). |
prospected_by_team_ids |
IDs of the team(s) that prospected this individual. |
person_excluded_by_team_ids |
IDs of team(s) that have excluded this person for specific reasons. |
relavence_boost |
Relevance score boost (if applicable). |
person_num_linkedin_connections |
Number of LinkedIn connections the individual has (if available). |
person_location_geojson |
GeoJSON format of the individual’s geographical location for mapping purposes. |
predictive_scores |
Scores predicting potential relevance or usefulness of the individual. |
person_vacuumed_at |
Timestamp when the individual’s data was last updated or vacuumed. |
random |
Random value for algorithmic usage (e.g., sampling). |
_index, _type, _id, _score |
Technical metadata fields for managing and indexing the data in databases. |
Organizations Data File (31.4k records)
| Column Name | Description |
|---|---|
organization_id |
Unique identifier for the organization. |
organization_name |
Name of the organization. |
organization_revenue_in_thousands_int |
Revenue of the organization (in thousands). |
organization_retail_location_count |
Number of retail locations or outlets operated by the organization. |
organization_public_symbol |
Stock ticker symbol (if the organization is publicly traded). |
organization_linkedin_company_size_tag_ids |
Tags indicating company size on LinkedIn (e.g., number of employees). |
organization_founded_year |
Year the organization was founded. |
organization_alexa_ranking |
Alexa website ranking for the organization’s domain. |
organization_num_current_employees |
Current total number of employees in the organization. |
organization_relevant_keywords |
Keywords related to the organization for SEO and categorization purposes. |
organization_relevant_keywords_str |
Keywords presented as a concatenated string. |
organization_industries |
Industries the organization operates within (e.g., Hospitality, Travel). |
organization_linkedin_specialties |
Specialties listed on LinkedIn (if available). |
organization_angellist_markets |
Markets listed on AngelList (if applicable). |
organization_yelp_categories |
Categories listed on Yelp related to the organization’s services or offerings. |
organization_keywords |
Additional relevant keywords associated with the organization. |
organization_linkedin_industry_tag_ids |
LinkedIn tags for the industry’s focus areas. |
organization_linkedin_specialty_tag_ids |
LinkedIn specialty tags specific to the organization. |
organization_angellist_market_tag_ids |
AngelList market tags specific to the organization’s sector or focus. |
organization_short_description |
A brief description of the organization. |
organization_seo_description |
SEO-focused description of the organization for web searches. |
organization_website_url |
Official website URL for the organization. |
organization_angellist_url |
AngelList profile URL (if available). |
organization_facebook_url |
Facebook page URL (if applicable). |
organization_twitter_url |
Twitter profile URL (if available). |
organization_languages |
Languages the organization primarily operates in. |
organization_domain_analyzed |
Analysis of the organization’s domain name. |
organization_phone |
Contact phone number for the organization. |
organization_all_possible_domains |
List of all potential domain names associated with the organization. |
organization_current_technologies |
Technologies currently used by the organization (e.g., CRM tools, web platforms). |
organization_num_linkedin_followers |
Number of followers on LinkedIn (if applicable). |
job_functions |
Primary functions or roles within the organization (e.g., Sales, Marketing). |
organization_hq_location_city |
City where the organization’s headquarters is located. |
organization_hq_location_city_with_state_or_country |
City with state or country details for enhanced location specificity. |
organization_hq_location_state |
State/province of the organization’s headquarters. |
organization_hq_location_state_with_country |
State/province with country details for enhanced accuracy. |
organization_hq_location_country |
Country of the organization’s headquarters. |
organization_hq_location_postal_code |
Postal code for the organization’s headquarters location. |
organization_hq_location_geojson |
GeoJSON format for headquarters location mapping. |
organization_total_funding_long |
Total funding received by the organization (if applicable). |
organization_latest_funding_stage_cd |
Code representing the latest funding stage (e.g., Seed, Series A). |
| `organization_latest_funding |
organization_latest_funding_round_amount_long |
Amount received in the latest funding round (if applicable). |
organization_latest_funding_round_date |
Date of the latest funding round. |
_index, _id |
Technical metadata fields for managing and indexing the data in databases. |
Final Notes:
The Hotels & Resorts Industry Professionals and Organizations Dataset is an invaluable resource for anyone looking to gain strategic insights into this niche market. With its detailed and structured approach, the dataset empowers businesses, researchers, and analysts to make data-driven decisions efficiently. Whether you’re conducting a competitive analysis, reaching out to potential partners, or exploring trends in the hotels, resorts, and suites sectors, this dataset offers a wealth of precise and actionable information.
Ready to transform data into opportunities? This dataset is designed to help you stay ahead in the competitive world of hospitality! Let me know if you’d like further customization or if there’s anything else I can assist with.
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