Dataplor POI Dataset

Dataplor's Point of Interest Dataset delivers global location intelligence covering 370+ million points of interest across 250+ countries and territories, with 55+ standardized data attributes per location including business classification, contact information, geographic coordinates, operating hour

Reviewed by 7wData

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Publisher review

Dataplor's Point of Interest Dataset delivers global location intelligence covering 370+ million points of interest across 250+ countries and territories, with 55+ standardized data attributes per location including business classification, contact information, geographic coordinates, operating hours, and visitor traffic counts. The dataset combines POI records with anonymized, privacy-compliant foot traffic data updated monthly and places data refreshed weekly, sourced through a combination of AI, machine learning, and human-in-the-loop verification. Founded in 2017 and headquartered in Manhattan Beach, California, Dataplor serves retail, quick-service restaurants, consumer packaged goods, commercial real estate, financial services, third-party logistics, and mapping industries.

The platform emphasizes emerging-market coverage and international brand data, differentiating on real-time accuracy through daily team reviews rather than pure breadth of attributes. Customers report exceptional data precision compared to manual collection methods and competing providers. Data is delivered in pre-structured, standardized formats designed for integration with analytical workflows and enterprise systems, with weekly updates and access via custom API integrations or packaged annual subscriptions. Dataplor recently completed a $20.5M Series B funding round (June 2025), indicating ongoing product investment and market validation.

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How it works

  1. Global POI Coverage

    370+ million points of interest across 250+ countries and territories with weekly place data updates and monthly foot traffic refreshes.

  2. Rich Data Attributes

    55+ standardized attributes per location including business name, category, address, coordinates, phone, website, operating hours, and visitation counts.

  3. Foot Traffic Intelligence

    Anonymized, privacy-compliant mobility data paired with POI records to enable visitor pattern analysis and location performance assessment.

  4. Brand-Level Insights

    Synthesis of 15,000+ brands into the dataset for competitive intelligence and market positioning across geographies.

  5. Market Enrichment Signals

    Traffic patterns and economic indicators layered into POI records to support spatial analysis, territory planning, and site selection.

  6. Enterprise Integration

    Pre-structured data files designed for technical teams, with polygon layering capabilities and standardized schema for analytical workflows and GIS platforms.

  7. Confidence Scoring

    Data quality confidence metrics applied per location to help users prioritize high-reliability records and assess accuracy by region.

Strengths and trade-offs

Strengths

  • Broadest geographic coverage of any POI provider with emphasis on emerging markets and international brands.
  • High data accuracy maintained through daily team review and human-in-the-loop verification alongside AI validation.
  • Foot traffic and economic enrichment included natively, reducing need for external data joins for many use cases.

Trade-offs

  • Pricing available only through direct negotiation—no public tier structure or per-query models, creating friction for budget-conscious or experimental users.
  • Specialized positioning on traffic and economic indicators may limit appeal to use cases requiring broader attribute coverage or custom classification schemes.
  • No freemium tier or generous free trial; market entry requires sales engagement and custom sampling requests.

Pricing context

Dataplor offers custom pricing via annual subscriptions and usage-based models, with no public pricing available. Annual subscriptions include weekly data updates. Interested customers must contact Dataplor directly for quotes, with the company offering free data samples tailored to specific geographic regions or use cases to reduce purchasing risk.

User reviews

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.dataplor.com — POI dataset features, coverage (370M+ locations), brand synthesis, polygon data, and integration capabilities.
  2. datarade.ai — Product specifications (350M+ locations, 55+ attributes), weekly updates, customer 5.0-star ratings, data accuracy, and pricing models.
  3. www.attomdata.com — Dataplor positioning vs. competitors, strengths in coverage and accuracy, daily team review updates, and free sample offerings.
  4. www.businesswire.com — Company founding (2017), Series B funding ($20.5M, June 2025), investor backing (F-Prime, Spark Capital, FFVC), and product growth plans.