.svg)
Foot traffic data sample
·
United States
Foot traffic API alternative: weekly feeds to S3 or GCS
Huq doesn't offer an API. It delivers weekly foot traffic data as Parquet or CSV files into your Amazon S3 or Google Cloud Storage bucket. Get a free sample.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with the CCPA and applicable US state privacy laws.
If you're searching for a foot traffic API, you probably want visit data inside your own warehouse, models and dashboards. Huq doesn't offer an API. It delivers data feeds instead: Parquet and CSV files written to your Amazon S3 or Google Cloud Storage bucket every week, covering footfall by week, month and year, residents vs visitors, catchment and dwell time. More than 1,000 locations are manually validated in each of Huq's 35 markets twice a year.
How Huq data feeds replace a foot traffic API
This short overview tours the Huq platform: the Explore map, Projects and exports. Feed files follow the same schema as platform exports, so watch for the metrics you'd load into your warehouse. Huq doesn't offer an API. The same data arrives weekly as Parquet or CSV files in your Amazon S3 or Google Cloud Storage bucket, ready for your pipelines.
- Explore map: check any location's footfall and catchment before you add it to a feed.
- CSV and Excel exports: files in the feed schema, useful for testing a pipeline before setup.
- Data feeds: weekly Parquet or CSV files in S3 or Google Cloud Storage, with no API calls to maintain.
Trusted by 300+ organisations · Data across 35 markets
%201.avif)
What is a foot traffic API?
A foot traffic API is a programmatic way to pull visit data for physical locations into your own software. Instead of reading charts in a dashboard, a developer or analyst requests visit counts, visitor origin or dwell time for a set of locations and loads the results into a warehouse, BI tool or model.
Teams usually want one for three reasons: to join visit data with sales or POS data, to analyze thousands of locations at once, and to refresh models without manual exports.
Huq doesn't offer an API. It meets those needs with data feeds: Parquet and CSV files delivered to your Amazon S3 or Google Cloud Storage bucket each week, ready for a warehouse, notebook, Power BI, Tableau or Looker. Feeds can include footfall, residents vs visitors, catchment and drive time, behavior metrics, density, and POIs, brands and industries. The same data sits in the Huq platform, so business users can check any location on the Explore map.
What's in your foot traffic data sample
01
Footfall by week, month and year
Total and average daily visits per location, with trends and period-on-period change, in one consistent schema.
02
Catchment and drive time
Visit share by ZIP code and drive-time reach for each location, ready to load into mapping tools.
03
Dwell time and visit frequency
How long visitors stay and how often they return, ready to join with your own sales or POS data.
04
POIs, brands and industries
Brand locations and industry performance alongside your own sites, so your models can benchmark competitors.
What a foot traffic data sample shows
Your free sample covers locations you choose, in the same Parquet or CSV format as a full feed, plus the same data in the Huq platform.
01
Weekly visits by location
Weekly visit counts per location in a consistent schema. Join them to your store IDs and sales by date to see how visits and revenue move together.
02
Catchment for each location
Where each location's visitors come from, ranked by share of visits by ZIP code, ready to load into your mapping or planning tools.
03
The same data in the platform
Business users can check results on the Explore map, compare locations with nearby competitors and download monthly PDF reports, without writing SQL.
Foot traffic data across the US, delivered weekly
Huq covers any address in the United States: shopping centers, main streets, downtowns, strip malls, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras needed.
Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and data refreshes weekly.
How it works
Step 1
Tell us your locations
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
We run the analysis
Our team maps each location from observed visitor data.
Step 3
We walk you through it
A short call to take you through what the data shows and what it means for you.
Why data teams use Huq feeds instead of a foot traffic API
- Huq publishes its accuracy by country: a 19.5% median error across published markets, against a 30% healthy threshold.
- Huq's customers give it an NPS of 42.
- Trusted by 300+ organizations across 35 markets, including the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung.
huq's platform gave us valuable data to support a key decision on potential new sites.
Dan Brogden
National Sales Manager, Puccinos
Who it's for
01
Retail chains of any size
From five-store retailers planning their next site to national brands: choose locations, track store performance and benchmark against competitors.
02
Retail real estate owners
Show shopping center performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.
03
Investors and private equity
Check how retail brands and assets actually perform before you buy, and monitor them after.
Everything Huq measures, in one platform
- Foot traffic: by week, month and year, with totals, average daily foot traffic, trends, period-over-period change, and visiting vs passing traffic.
- Residents and visitors.
- Trade area and travel time: trade areas by ZIP code, plus drive-time and travel-time analysis.
- Demographics and profiling: age, gender and purchasing power, available in selected markets.
- Behavior: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
- Foot traffic density and transportation mode.
- Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping center and retail center types.
- Geo-spend: spend by volume and category, available in selected markets.
- Tools: the Explore map (draw any area or use layers for travel time, trade areas, shopping centers, retail centers, brand locations, industries and ZIP codes), White Space Analysis, and Projects for monitoring many locations and reporting to stakeholders.
- Delivery: the platform, CSV or Excel exports, monthly PDF location reports, and data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
- Cadence: data refreshes weekly.
Frequently asked questions
Does Huq have a foot traffic API?
No. Huq doesn't offer a foot traffic API. It delivers data feeds: Parquet and CSV files written to your Amazon S3 or Google Cloud Storage bucket every week. Feeds can cover footfall, residents vs visitors, catchment and drive time, dwell and frequency, and brands and industries. Pipelines load each new file without API calls to build or maintain.
What's the difference between a foot traffic API and a data feed?
An API lets your software request data on demand. A data feed delivers files on a schedule to storage you control. For weekly foot traffic data, a feed does the job well: your pipelines pick up new Parquet or CSV files each week and load them into your warehouse, notebook or BI tool.
How do I get foot traffic data?
Use Huq's self-serve platform, or take the data as feeds: Parquet and CSV files delivered to Amazon S3 or Google Cloud Storage. Feeds can include footfall by week, month and year, residents vs visitors, catchment and drive time, dwell and frequency, density, and POIs, brands and industries, plus demographics and spend in selected markets. Start with a free sample.
How often is Huq foot traffic data updated?
Huq foot traffic data updates weekly, and new feed files arrive in your bucket each week. Weekly data smooths out one-off spikes, so your models see real trends build rather than short-term noise.
What's in the free foot traffic data sample?
Tell us the locations you care about and we'll prepare a sample: weekly visits, where visitors come from, dwell time and visit frequency, in the same Parquet or CSV format as a full feed, plus a dashboard view. There's no charge and no commitment.
What is the best source of foot traffic data?
The one that is accurate for the places you care about. Ask how the data is validated, then test on a site you know. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year. In Huq's own study, its visit data tracked Walmart's quarterly US net sales with 0.85 correlation and 3.8% error.
Questions? Talk to us
Book a demoAbout Huq
Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
See how your locations really perform
Up to 5 locations. No cost, no commitment.