High Precision POI Data Built to Power Modern Applications
High Precision POI Data Built to Power Modern Applications
The world changes fast – stay ahead of the curve with the most precise, reliable global points of interest data available.
Deliver Premium User Experiences and Market Leading Insights
Never worry about stale or inadequate data. Built on a globally maintained POI dataset, you can build more informative tools and stay ahead of the competition with up-to-date, accurate places data.
- Continuous data collection and monthly updates deliver the most current, reliable global POI dataset available.
- Rigorous sourcing and verification ensure POIs are geographically precise and accurately detailed.
- Rich POI attributes provide the context needed for superior functionality and analyses.
Places Data Attributes That Add Clarity and Context
Quality is your priority, so it’s ours too. We rigorously verify our data to power your products with the highest quality ingredients.
Geographic Coordinates
Exact latitude and longitude for each POI location.
Industries & Categories
Granular tags that provide context for detailed POI data.
Opened/Closed Dates
Track business lifecycle data for accurate timelines.
Brands
Brand names and IDs for precise chain-level analysis.
Store IDs
Store-level identifiers for clean joints and data enrichment.
...and more
Open hours, phone numbers, website URLs, and other location dataset attributes. Address details, and more—create a custom dataset to suit your unique application.
Leverage Comprehensive POIs and Place Attributes for Deeper Context
Precise Footprints
Understand the shapes and spatial hierarchy of places within our POI dataset, using machine-generated, human-verified place polygons with rich metadata.
Parking Lots
Expand the concept of a place within the POI dataset to include its surrounding parking lots.
Transparent Documentation
Monthly updates clearly outline what data is collected, cleaned, and processed, so accuracy and coverage are never in question.
Enhance your product with POI attributes like opened/closed dates, business hours, precise geographical coordinates, and more.
Don’t Waste Time Collecting and Cleaning Messy POI Data
SafeGraph focuses on sourcing and cleaning POI data, so you can spend time on what matters most – developing the best products for your users. Build with confidence, knowing your places data is a true representation of the physical world.
- POI datasets are delivered cleaned, deduped, and ready to embed.
- Flexible delivery options fit into your existing workflow
- Simple pricing tailored for your specific use case puts you in control of your budget
The Industry’s Most
Trusted Places Data
See How Leading Organizations Use SafeGraph’s POI Dataset in Real World Applications
FAQ’s
What is POI data & what does it include in Places?
Point of interest (POI) data is information about geographical places that exist in the real world, such as the location of the physical place, ownership, open and close history, and more. POI data is extremely useful for business and competitive intelligence analysis and is used by investors, retail businesses, and other location-driven industries.
With SafeGraph Places POI datasets, you can access information on the physical location of a place, such as latitude and longitude, street address, city, region, and postal code. In addition, our Places datasets include brand affiliation, hours of operation, historical data on when businesses open and close at a location, and building footprint information. Together, these attributes further contextualize each location and provide a reliable representation of the physical world.
How much does the Places dataset cost?
Like all of our data, the cost of the Places POI dataset depends on the number of rows, columns, and the frequency of delivery you request. Contact our sales team to learn more about enterprise pricing options.
How often is the dataset updated?
SafeGraph issues updates to the Places POI dataset once per month, which is more frequent than many other POI data providers that may update every three to six months. This is possible because we work with a wide range of data sources and efficiently combine updates from those sources.
Each month, a subset of our sources sends updated information, which we onboard and integrate quickly. This process allows us to reflect store openings and closures in the Places dataset in a timely manner. The time between a store opening or closing and its appearance in the dataset depends on when the change is detected by our sources and when it is processed by SafeGraph. In most cases, updates are reflected within the same month, which is significantly faster than many alternative providers.
How do you determine when a POI is opened or closed?
Opened and closed dates are determined using metadata at the source level. If a new point of interest from an existing source repeatedly appears in our build pipeline, it is flagged as “opened_on” during the month in which it first appears. Similarly, if a POI from an existing source repeatedly disappears in our pipeline, it is flagged as “closed_on” during the month in which it first disappears. These flags are applied to the Places product following final QA checks and overall data hygiene processes.
Temporary closures are not captured in open and close tracking. During the onset of COVID-19, it became difficult to distinguish permanent closures from temporary ones, which resulted in a lower number of POIs marked as closed between March and June 2020. If a POI has not been sourced consistently enough to determine a closure date, the tracking_closed_since field will remain null. In general, the SafeGraph Places dataset tracks opened and closed dates from July 2019 onward.
How does SafeGraph assign NAICS codes to points of interest (POI)?
SafeGraph Places uses the North American Industry Classification System (NAICS) developed by the US Census Bureau. This system assigns a numeric code of up to six digits to classify points of interest by industry.
Although NAICS was developed in the United States, it has proven effective for categorizing points of interest data in other countries as well. The classification is hierarchical, with the first two digits representing a broad category and additional digits providing increasingly specific classifications.
Explore Guides and Case Studies That Show How Teams Use Our POI Dataset and Places Data in Practice
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