📌 What review data can you collect from Foursquare?
This template collects review records with Business name, Username, Business URL, Price range, Rating, Rating count, Date, and Telephone. It is useful for customer-insight teams, venue operators, reputation analysts, and hospitality researchers.
Data is collected from Foursquare. Foursquare is a place-discovery platform containing venue details, ratings, and user tips.
💰 Pricing
This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.
📦 Output
Foursquare Reviews Scraper (by URL) returns these fields:
Business_URLBusiness_namePrice_rangeRatingRating_countTelephoneUsernameDateReviewUpvote
{
"Business_URL": "https://app.foursquare.com/v/independence-prime/5ae397ff772fbc0037fcc15e",
"Business_name": "Independence Prime",
"Price_range": "$$$$",
"Rating": "6.0",
"Rating_count": "16",
"Telephone": "+1 267-684-5003",
"Username": "Chris Boniforti",
"Date": "06/30/2018",
"Review": "Had a great pork belly! Great seats and TV, beer is cold",
"Upvote": "5"
}
🎯 Use Cases
- Build a structured research dataset organized by Business name and Username.
- Compare or monitor Price range, Rating, and Rating count across collected records.
- Enrich business or location analysis with Telephone.
- Analyze source content and timing through Review and Date.
🐙 Why Octoparse
- Built for Foursquare: The automation opens each page supplied through URL (up to 100 per run) and Pre-login, moves through the available review content according to the configured controls, and writes structured review rows including Business URL, Business name, Price range, and Rating.
- Inputs match the workflow: The form uses URL (up to 100 entries) and Pre-login.
- Fields stay connected: Foursquare Reviews Scraper (by URL) returns
Business_name,Business_URL,Price_range,Date, andRatingin the same structured dataset. - Ready for repeat use: After Foursquare Reviews Scraper (by URL) runs locally or in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.
📝 Input
Complete the following fields:
- URL (Required) — Enter TripAdvisor attraction URLs to retrieve review data. Up to 100 entries per run.
- Pre-login (Required) — Pre-login.
🚀 How to Use
- Open Foursquare Reviews Scraper (by URL) and click Try it!.
- Complete URL and Pre-login using the formats and limits shown in the Input section.
- Choose a local or cloud run in Octoparse and start the task.
- Review fields such as
Business_name,Business_URL, andPrice_range, then export the rows in the format you need.
💡 Tips
- Test one representative value in URL before submitting a large batch to Foursquare Reviews Scraper (by URL).
- Use
Business_nameandBusiness_URLwhen checking duplicates or comparing repeated exports.
❓ FAQ
How many entries can Foursquare Reviews Scraper (by URL) accept in URL per run?
Enter up to 100 values in URL per run.
Which Foursquare pages does Foursquare Reviews Scraper (by URL) process?
The workflow is configured for review pages and returns fields such as Business_name, Business_URL, Price_range, and Date.
What can I use data from Foursquare Reviews Scraper (by URL) for?
Build a structured research dataset organized by Business name and Username.
🔗 Related Templates
- Foursquare Scraper (by Keywords) — Use Foursquare Scraper (by Keywords) for a complementary workflow on the same source site.
- Google Maps Reviews Scraper — Use Google Maps Reviews Scraper to collect comparable reviews data from another source.
- Goodreads Comments Scraper — Use Goodreads Comments Scraper to collect comparable reviews data from another source.