2 datasets found
  1. Any data from Any website - Data provider to 8000 global customers - get a...

    • datarade.ai
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    Scrapehero, Any data from Any website - Data provider to 8000 global customers - get a response within 5 minutes by contacting us at scrapehero.com [Dataset]. https://datarade.ai/data-products/custom-alternative-data-full-service-scrapehero
    Explore at:
    .json, .csv, .xls, .txt, .xml, .sqlAvailable download formats
    Dataset provided by
    ScrapeHero
    Authors
    Scrapehero
    Area covered
    Eritrea, Saint Vincent and the Grenadines, Colombia, South Sudan, Estonia, Northern Mariana Islands, British Indian Ocean Territory, Mauritius, United Arab Emirates, Kenya
    Description

    Convert websites into useful data Fully managed enterprise-grade web scraping service Many of the world's largest companies trust ScrapeHero to transform billions of web pages into actionable data. Our Data as a Service provides high-quality structured data to improve business outcomes and enable intelligent decision making

    Join 8000+ other customers that rely on ScrapeHero

    Large Scale Web Crawling for Price and Product Monitoring - eCommerce, Grocery, Home improvement, Shipping, Inventory, Realtime, Advertising, Sponsored Content - ANYTHING you see on ANY website.

    Amazon, Walmart, Target, Home Depot, Lowes, Publix, Safeway, Albertsons, DoorDash, Grubhub, Yelp, Zillow, Trulia, Realtor, Twitter, McDonalds, Starbucks, Permits, Indeed, Glassdoor, Best Buy, Wayfair - any website.

    Travel, Airline and Hotel Data Real Estate and Housing Data Brand Monitoring Human Capital Management Alternative Data Location Intelligence Training Data for Artificial Intelligence and Machine Learning Realtime and Custom APIs Distribution Channel Monitoring Sales Leads - Data Enrichment Job Monitoring Business Intelligence and so many more use cases

    We provide data to almost EVERY industry and some of the BIGGEST GLOBAL COMPANIES

  2. d

    Venture Capital Data | Company Funding Data & Financing Events | Track...

    • datarade.ai
    .json
    Updated Jul 5, 2024
    + more versions
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    PredictLeads (2024). Venture Capital Data | Company Funding Data & Financing Events | Track Funding Rounds | 245K+ Financing Events Since 2016 [Dataset]. https://datarade.ai/data-categories/fund-data/apis
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    PredictLeads
    Area covered
    Madagascar, Algeria, Lao People's Democratic Republic, Eritrea, Barbados, Belgium, Taiwan, Andorra, Portugal, Cameroon
    Description

    PredictLeads offers a robust data solution specifically tailored for venture capital and private equity firms, delivering critical insights into the financing landscape. Our platform provides B2B intent data and company funding data to help investors identify early-stage growth signals, discover promising startups, and monitor industry trends.

    With VC funding data, investors gain access to comprehensive details on companies backed by venture capital, spanning various funding stages. Our alternative data offers unique insights into emerging market trends, allowing firms to enhance their investment strategies. Investor data further supports firms by revealing competitor movements, enabling co-investment opportunities, and deepening insight into investor networks.

    Key Features of PredictLeads Financing Events Data:

    ➡️ Comprehensive Company Funding Data: Access detailed insights on funding rounds, including investment amounts, types, and investors, to understand market opportunities. ➡️ Real-Time and Historical Funding Insights: Leverage up-to-date and historical B2B intent data to track funding trends and optimize investment timing. ➡️ Competitor and Market Analysis: Combine B2B intent data with financing information for in-depth analysis of competitor activity and market shifts. ➡️ Web Scraping Data for Accuracy: Our data is sourced from over 152,000 reliable sources, ensuring timely and accurate information for investor analysis. ➡️ Enhanced Personalized Outreach: Target companies with recent investments, including VC and PE-backed firms, to develop effective, personalized engagement strategies.

    PredictLeads delivers a comprehensive financing events dataset designed to help venture capital (VC) and private equity (PE) firms track funding rounds, investment trends, and emerging startups. By leveraging real-time and historical company funding data, investors can identify early-stage opportunities, analyze competitor moves, and optimize deal sourcing strategies.

    Use Cases: ✅ Deal Tracking – Spot companies in active funding rounds to identify investment-ready startups. ✅ Market Research – Monitor sector growth, investor activity, and funding trends to stay ahead of the market. ✅ Competitor Analysis – Analyze funding events of competitors and portfolio companies to assess market positioning. ✅ Investor Outreach – Target VC and PE-backed companies for co-investment and partnership opportunities. ✅ CRM Enrichment – Integrate company funding data into CRM systems for personalized investment insights.

    Key API Attributes: - id (string, UUID) – Unique identifier for the financing event. - effective_date (ISO 8601 date-time) – Date when the investment was made. - found_at (ISO 8601 date-time) – Timestamp of when the event was detected. - categories (array of strings) – Funding round types (e.g., "series_a", "venture"). - financing_type (string) – Type of funding event (e.g., "Series A", "Private Equity"). - amount (string) – Investment amount (e.g., "$50M"). - amount_normalized (integer) – Investment amount in numeric format (e.g., 50000000). - source_urls (array of URLs) – Links to articles confirming the funding event. - company (object) – The funded company, including its domain and company name. - investors (array of objects) – List of investors involved in the financing round.

    📌 Used by top VC and PE firms to drive data-driven investment strategies and gain a competitive edge in deal sourcing.

    API Example: https://docs.predictleads.com/v3/api_endpoints/financing_events_dataset

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Share
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Click to copy link
Link copied
Close
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Scrapehero, Any data from Any website - Data provider to 8000 global customers - get a response within 5 minutes by contacting us at scrapehero.com [Dataset]. https://datarade.ai/data-products/custom-alternative-data-full-service-scrapehero
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Any data from Any website - Data provider to 8000 global customers - get a response within 5 minutes by contacting us at scrapehero.com

Explore at:
.json, .csv, .xls, .txt, .xml, .sqlAvailable download formats
Dataset provided by
ScrapeHero
Authors
Scrapehero
Area covered
Eritrea, Saint Vincent and the Grenadines, Colombia, South Sudan, Estonia, Northern Mariana Islands, British Indian Ocean Territory, Mauritius, United Arab Emirates, Kenya
Description

Convert websites into useful data Fully managed enterprise-grade web scraping service Many of the world's largest companies trust ScrapeHero to transform billions of web pages into actionable data. Our Data as a Service provides high-quality structured data to improve business outcomes and enable intelligent decision making

Join 8000+ other customers that rely on ScrapeHero

Large Scale Web Crawling for Price and Product Monitoring - eCommerce, Grocery, Home improvement, Shipping, Inventory, Realtime, Advertising, Sponsored Content - ANYTHING you see on ANY website.

Amazon, Walmart, Target, Home Depot, Lowes, Publix, Safeway, Albertsons, DoorDash, Grubhub, Yelp, Zillow, Trulia, Realtor, Twitter, McDonalds, Starbucks, Permits, Indeed, Glassdoor, Best Buy, Wayfair - any website.

Travel, Airline and Hotel Data Real Estate and Housing Data Brand Monitoring Human Capital Management Alternative Data Location Intelligence Training Data for Artificial Intelligence and Machine Learning Realtime and Custom APIs Distribution Channel Monitoring Sales Leads - Data Enrichment Job Monitoring Business Intelligence and so many more use cases

We provide data to almost EVERY industry and some of the BIGGEST GLOBAL COMPANIES

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