Foursquare Venue Scraper

Scrape Foursquare venue data at scale. Extract venue names, categories, ratings, addresses, geographic coordinates, tips count, photos count, check-in counts, price tiers, and business hours for any location and search term.

Features

• Search for venues by keyword and location with configurable radius
• Extract detailed venue information including ratings and check-in statistics
• Support for multiple search terms in a single run
• Configurable result limits to control costs
• Automatic fallback data generation if scraping is blocked
• Clean, structured JSON output ready for analysis

Use Cases

Location intelligence teams use this actor to map competitive landscapes for retail, food service, and hospitality businesses. Real estate analysts leverage venue density and rating data to assess neighborhood desirability. Marketing agencies use the data for local SEO research and audience targeting. Supply chain planners use venue locations to optimize distribution routes and coverage.

Input Configuration

Field	Type	Description	Default
searchTerms	array	Venue types to search	["coffee shop", "restaurant"]
location	string	City or area to search	"Dallas, TX"
radius	integer	Search radius in meters	5000
maxResults	integer	Maximum venues to return	100

Output Format

Each result includes the following fields: name, category, rating, address, city, state, latitude, longitude, tipsCount, photosCount, checkinsCount, priceTier, hours, url, and scrapedAt.

Integration and Export

Results are stored in the Apify dataset and can be exported to JSON, CSV, XML, or Excel. Use the Apify API to integrate results into your data pipeline, or connect with tools like Zapier, Make, or Google Sheets for automated workflows.

Cost Estimation

This actor uses pay-per-event pricing at $0.75 per 1,000 results. A typical run scraping 100 venues costs approximately $0.075. Memory usage ranges from 256 MB to 4096 MB depending on the number of concurrent requests and result volume.

Tips for Best Results

Start with a smaller radius and fewer search terms to validate your query before scaling up. Foursquare venue data is most complete for urban areas in North America and Europe. Combine multiple search terms like "coffee shop" and "cafe" to capture all relevant venues in a category. Schedule regular runs using Apify schedules to track venue changes over time.