Cart

US Hotels & Resorts Industry Professionals and Organizations Dataset 2025 – 246.9k records CSV

$590.00

GDPR / Legal compliance info
Extra free email validation is included with purchased data.

Change currency:

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.

Share this page

Share this product

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:

        1. 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.
        2. 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.

 

Detailed CSV Contents

Below is a detailed breakdown of the column names for both files:

 

People Data File (215.5k records)

Column NameDescription
person_nameFull name of the person.
person_first_name_unanalyzedFirst name of the individual (raw and unprocessed).
person_last_name_unanalyzedLast name of the individual (raw and unprocessed).
person_name_unanalyzed_downcaseFull name in lowercase format for standardized search or sorting.
person_titleCurrent job title of the individual (e.g., General Manager, Sales Director).
person_functionsPrimary functions or roles in the organization (e.g., Sales, Marketing, Operations).
person_senioritySeniority level (e.g., Entry-Level, Manager, Executive).
person_email_status_cdStatus of the email address (e.g., verified or unverified).
person_extrapolated_email_confidenceConfidence level in the extrapolated email’s accuracy.
person_emailEmail address of the individual (if available).
person_phonePhone number of the person.
person_sanitized_phonePhone number with formatting standardized.
person_email_analyzedAnalysis of the email (e.g., domain validation or activity).
person_linkedin_urlURL to the individual’s LinkedIn profile (if available).
person_detailed_functionExpanded description of the person’s professional functions.
person_title_normalizedNormalized job title for improved categorization.
primary_title_normalized_for_facetingSimplified and normalized title for filtering or categorization in databases.
sanitized_organization_name_unanalyzedUnprocessed name of the organization the person is affiliated with.
person_location_cityCity where the individual is located.
person_location_city_with_state_or_countryCity along with state or country for more detailed geographical data.
person_location_stateState/province where the individual is located.
person_location_state_with_countryState/province along with country for improved geographical detail.
person_location_countryCountry of the individual’s location.
person_location_postal_codePostal code of the individual’s location.
job_start_dateStart date at the individual’s current position.
current_organization_idsID(s) of the organization(s) the individual is affiliated with.
modalityCommunication modality (e.g., email, phone).
prospected_by_team_idsIDs of the team(s) that prospected this individual.
person_excluded_by_team_idsIDs of team(s) that have excluded this person for specific reasons.
relavence_boostRelevance score boost (if applicable).
person_num_linkedin_connectionsNumber of LinkedIn connections the individual has (if available).
person_location_geojsonGeoJSON format of the individual’s geographical location for mapping purposes.
predictive_scoresScores predicting potential relevance or usefulness of the individual.
person_vacuumed_atTimestamp when the individual’s data was last updated or vacuumed.
randomRandom value for algorithmic usage (e.g., sampling).
_index, _type, _id, _scoreTechnical metadata fields for managing and indexing the data in databases.

 

Organizations Data File (31.4k records)

Column NameDescription
organization_idUnique identifier for the organization.
organization_nameName of the organization.
organization_revenue_in_thousands_intRevenue of the organization (in thousands).
organization_retail_location_countNumber of retail locations or outlets operated by the organization.
organization_public_symbolStock ticker symbol (if the organization is publicly traded).
organization_linkedin_company_size_tag_idsTags indicating company size on LinkedIn (e.g., number of employees).
organization_founded_yearYear the organization was founded.
organization_alexa_rankingAlexa website ranking for the organization’s domain.
organization_num_current_employeesCurrent total number of employees in the organization.
organization_relevant_keywordsKeywords related to the organization for SEO and categorization purposes.
organization_relevant_keywords_strKeywords presented as a concatenated string.
organization_industriesIndustries the organization operates within (e.g., Hospitality, Travel).
organization_linkedin_specialtiesSpecialties listed on LinkedIn (if available).
organization_angellist_marketsMarkets listed on AngelList (if applicable).
organization_yelp_categoriesCategories listed on Yelp related to the organization’s services or offerings.
organization_keywordsAdditional relevant keywords associated with the organization.
organization_linkedin_industry_tag_idsLinkedIn tags for the industry’s focus areas.
organization_linkedin_specialty_tag_idsLinkedIn specialty tags specific to the organization.
organization_angellist_market_tag_idsAngelList market tags specific to the organization’s sector or focus.
organization_short_descriptionA brief description of the organization.
organization_seo_descriptionSEO-focused description of the organization for web searches.
organization_website_urlOfficial website URL for the organization.
organization_angellist_urlAngelList profile URL (if available).
organization_facebook_urlFacebook page URL (if applicable).
organization_twitter_urlTwitter profile URL (if available).
organization_languagesLanguages the organization primarily operates in.
organization_domain_analyzedAnalysis of the organization’s domain name.
organization_phoneContact phone number for the organization.
organization_all_possible_domainsList of all potential domain names associated with the organization.
organization_current_technologiesTechnologies currently used by the organization (e.g., CRM tools, web platforms).
organization_num_linkedin_followersNumber of followers on LinkedIn (if applicable).
job_functionsPrimary functions or roles within the organization (e.g., Sales, Marketing).
organization_hq_location_cityCity where the organization’s headquarters is located.
organization_hq_location_city_with_state_or_countryCity with state or country details for enhanced location specificity.
organization_hq_location_stateState/province of the organization’s headquarters.
organization_hq_location_state_with_countryState/province with country details for enhanced accuracy.
organization_hq_location_countryCountry of the organization’s headquarters.
organization_hq_location_postal_codePostal code for the organization’s headquarters location.
organization_hq_location_geojsonGeoJSON format for headquarters location mapping.
organization_total_funding_longTotal funding received by the organization (if applicable).
organization_latest_funding_stage_cdCode representing the latest funding stage (e.g., Seed, Series A).
`organization_latest_funding

 

organization_latest_funding_round_amount_longAmount received in the latest funding round (if applicable).
organization_latest_funding_round_dateDate of the latest funding round.
_index, _idTechnical 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.

 

Screenshots (click)

int(0)