Crunchbase companies information

Dataset Features

• name: The name of the company.
• url: Website or Crunchbase link for the company.
• id: Unique identifier for the company.
• cb_rank: Crunchbase ranking based on relevance and popularity.
• region: Geographic region where the company operates.
• about: Brief description of the company.
• industries: List of industries the company belongs to (e.g., photography, events, professional services).
• operating_status: Whether the company is active or inactive.
• company_type: Classification (e.g., for-profit, nonprofit).
• social_media_links: URLs to the company’s social media profiles.
• founded_date: Year or exact date when the company was founded.
• num_employees: Number of employees in the company.
• country_code: Country where the company is based.
• website: Official company website.
• contact_email: Contact email for the company.
• contact_phone: Contact phone number for the company.
• featured_list: Lists the company has been featured.
• full_description: Extended description of the company’s services or products.
• type: Type of organization (company, startup, etc.).
• uuid: Unique identifier for database tracking.
• active_tech_count: Number of technologies actively used by the company.
• builtwith_num_technologies_used: Number of technologies detected using BuiltWith.
• builtwith_tech: List of technologies used.
• ipo_status: Whether the company is public or private.
• similar_companies: URL of other companies similar to this one.
• image: Link to the company’s image or logo.
• monthly_visits: Estimated monthly web traffic.
• semrush_visits_latest_month: Website visits in the latest month according to SEMrush.
• semrush_last_updated: Last updated date for SEMrush traffic data.
• monthly_visits_growth: Change in web traffic over time.
• semrush_visits_mom_pct: Month-over-month percentage change in visits.
• num_contacts: Number of available contacts for the company.
• num_contacts_linkedin: Number of LinkedIn contacts.
• num_employee_profiles: Number of employee profiles available.
• total_active_products: Number of active products/services offered by the company.
• num_news: Number of news articles about the company.
• funding_rounds: Number of funding rounds the company has gone through.
• Bombora_last_updated: Bombora last updated date on website.
• num_investors: Number of investors associated with the company.
• legal_name: Official legal name of the company.
• num_event_appearances: Number of events the company has appeared in.
• num_acquisitions: Number of acquisitions made by the company.
• num_investments: Number of investments made by the company.
• num_advisor_positions: Number of advisor positions in the company.
• num_exits: Number of times the company has exited an investment.
• num_investments_lead: Number of times the company has led an investment round.
• num_sub_organizations: Number of sub-organizations under the company.
• num_alumni: Number of notable alumni from the company.
• Num_diversity_spotlight_investments: Number of diversity-focused investments.
• num_founder_alumni: Number of company founders who are alumni of a certain institution.
• num_funds: Number of investment funds the company has created.
• stock_symbol: Stock ticker symbol (if public).
• location: City and country where the company is headquartered.
• address: Full business address.
• contacts: List of business contacts.
• current_employees: Number of current employees.
• semrush_location_list: Web traffic location breakdown.
• siftery_products: List of products listed on Siftery.
• funding_rounds_list: Details of funding rounds.
• bombora: Bombora data on company interest topics.
• investors: List of investors who have funded the company.
• event_appearances: Number of events the company has attended.
• acquisitions: List of companies acquired by this company.
• funds_raised: Total amount of funding raised.
• investments: Investments made by the company.
• apptopia: App intelligence data from Apptopia.
• current_advisors: List of company advisors.
• exits: Successful exits the company has had.
• leadership_hire: Leadership hiring details.
• sub_organizations: Subsidiary organizations under the company.
• alumni: Former employees.
• diversity_investments: Investments in diversity-focused initiatives.
• funds_list: List of investment funds the company manages.
• layoff: Information about company layoffs.
• news: News articles related to the company.
• aberdeen_it_spend: IT spending estimates.
• headquarters_regions: Broader geographic regions where headquarters are located.
• financials_highlights: Key financial data of the company.
• ipo_fields: IPO-related data.
• ipqwery: Intellectual property and trademark details.
• overview_highlights: Key highlights from the company’s profile.
• people_highlights: Information about employees and leadership.
• technology_highlights: Key technologies used by the company.
• founders: List of company founders.
• funds_total: Total amount of funds managed by the company.
• acquired_by: The company or entity that acquired this business.
• investor_type: Specifies if the company is an angel investor, VC, or private equity firm.
• investment_stage: The investment stage of the company (e.g., seed, Series A, Series B).
• sub_organization_of: Parent company (if applicable).
• apptopia_total_downloads: Total app downloads as per Apptopia.
• apptopia_total_downloads_mom_pct: Month-over-month percentage change in app downloads.
• web_traffic_by_semrush: Web traffic analytics from SEMrush.
• products_and_services: List of the company’s products and services.

Distribution

• Data Volume: 3.51M rows and 93 columns.
• Structure: Tabular format (CSV).

Usage

• Market Research: Analyze trends, competition, and emerging industries.
• Business Intelligence: Gather insights into funding, employees, and acquisitions.
• Investment Analysis: Evaluate potential investment opportunities.
• Lead Generation: Identify potential clients, partners, or competitors.
• Web Analytics: Study traffic patterns and online presence.

Coverage

• Geographic Coverage: Global dataset with companies from various countries.
• Time Range: Data may include historical and real-time company details.
• Industry Scope: Covers multiple industries, including tech, services, and finance.

License

1. Data Provider's License
   • Bright Data Master Service Agreement

Who Can Use It

• Data Scientists: For predictive modeling, trend analysis, and business forecasting.
• Researchers: For academic studies on business trends and innovation.
• Businesses: For competitive analysis, sales prospecting, and expansion planning.
• Investors: For identifying potential investments and tracking startup growth.

Dataset Name Ideas

1. Global Company Intelligence Dataset
2. Business Insights & Analytics Data
3. Company Profiles & Market Trends
4. Corporate Growth & Investment Data
5. Crunchbase Business Analytics Dataset

Pricing

Based on Delivery frequency

• Monthly

• Quarterly

• Bi-annual

• One-time purchase