Data Products (3,962)

  • Xtract.io provides a core point of interest dataset with 1.14 million locations of retail stores in the US and Canada. It includes electronic stores, supermarkets, specialty retailers, home improvement stores, and apparel shops.

    Inference Monthly Annual One-off Purchase API Raw Data Daily
    RAG Compatibility 4.5/5
  • The Xtract.io dataset provides comprehensive point-of-interest (POI) data for popular restaurant chains like Olive Garden and Longhorn Steakhouse across the US and Canada. It contains 2,110 locations and 12 months of historical data with a focus on helping businesses make informed location-driven decisions.

    Fine-tuning API Raw Data Quarterly
    RAG Compatibility 3.5/5
  • Xtract.io provides comprehensive Point of Interest (POI) data for over 3.7 million locations in the US and Canada. The dataset covers various industries like Automotive, Retail, Food and Dining, Healthcare, Sports, and more, offering accurate and up-to-date information for businesses' location-based decisions.

    Training Pay Per Use One-off Purchase API Raw Data Monthly
    RAG Compatibility 3.5/5
  • This dataset contains point-of-interest data for popular restaurant locations in the US, including brands like Baja Fresh, Cold Stone Creamery, Famous Dave's, and more. It covers 2 countries and offers 12 months of historical data with 95% coverage.

    Fine-tuning One-off Purchase Raw Data Real-time Monthly
    RAG Compatibility 3.5/5
  • The Xtract.io dataset provides detailed point-of-interest data for the top Cannabis store locations in the US, including both Brand and Non-Brand stores. With 31.9K POI records, it covers 12 months of historical data with 95% accuracy, delivered in various formats such as .bin, .json, .csv, and more.

    Inference Monthly One-off Purchase API Raw Data Monthly
    RAG Compatibility 4.3/5
  • The Xtract.io dataset provides point-of-interest (POI) data for all Starbucks Coffeehouse locations in the US and Canada. It includes accurate location details crucial for making informed geographical decisions across businesses.

    Inference Raw Data Monthly
    RAG Compatibility 4.5/5
  • Xtract.io provides point-of-interest data (POI) for all Subway brand locations in the US and Canada. The dataset includes the exact location of each fast-food restaurant, aiding businesses in making informed geography-driven decisions.

    Inference One-off Purchase API Raw Data Monthly
    RAG Compatibility 4.5/5
  • Xtract.io provides point-of-interest (POI) data for the top 400 malls and shopping centers in the European Union. The dataset includes 400 records with 6 months of historical data from 20 countries and is delivered in various formats like .bin, .json, .csv, and more.

    Inference Monthly One-off Purchase API Monthly
    RAG Compatibility 4.0/5
  • The Xtract.io dataset provides point-of-interest (POI) data for all Yum! Brands restaurants in the US and Canada, covering 20,700 locations. This data includes information on exact locations of restaurants which is crucial for businesses to make informed geographical decisions.

    Inference One-off Purchase Raw Data Monthly
    RAG Compatibility 4.5/5
  • Explore US and Canada Airport property polygons and locations with Xtract.io's dataset containing 21,300 records of airport boundaries, center points, and other attributes like latitude and longitude.

    One-off Purchase API Monthly
    RAG Compatibility 3.5/5