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Foursquare Scraper (by Keywords)

DirectoriesMCP
Scrape business name, telephone, website, social media accounts, etc from Foursquare by keyword.
Standard
Access Level
Run Mode
Free
Cost of Usage
2026/09/17
Last updated
Try it!

📌 What data can you collect from Foursquare search results?

This template collects venue-detail records reached from Foursquare search results, including the configured venue, category, location, and contact fields. It is useful for local-business researchers, venue analysts, travel teams, and market-intelligence professionals.

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 Scraper (by Keywords) returns these fields:

  • Keyword
  • Location
  • Detail_URL
  • Business_name
  • Address
  • Street_address
  • Neighbourhood
  • Locality
  • Region
  • Postal_code
  • City
  • Category1
  • Category2
  • Price_range
  • Rating
  • Rating_count
  • Opening_hours
  • Telephone
  • Website
  • Facebook
  • Twitter
  • Instagram
{
  "Keyword": "pizza",
  "Location": "New York",
  "Detail_URL": "https://foursquare.com/v/vitos-slices--ices/5d77f4e809608a000734bf2a",
  "Business_name": "Vito’s Slices & Ices",
  "Address": "464 9th Ave (36th Street) 纽约, NY 10018 美国",
  "Street_address": "464 9th Ave",
  "Neighbourhood": "Garment District",
  "Locality": "纽约",
  "Region": "NY",
  "Postal_code": "10018",
  "City": "纽约",
  "Category1": "Pizzeria",
  "Category2": null,
  "Price_range": "$$$$",
  "Rating": "9.3",
  "Rating_count": "27",
  "Opening_hours": "TodayNoon–11:00 PMFriNoon–3:00 PM5:00 PM–11:00 PMSat1:00 PM–10:00 PMSunNoon–11:00 PMMon2:00 PM–10:00 PMTue–WedNoon–11:00 PM",
  "Telephone": "(212) 273-1186",
  "Website": "vitosslicesandices.com",
  "Facebook": null,
  "Twitter": null,
  "Instagram": null
}

🎯 Use Cases

  • Build a structured research dataset organized by Keyword, Business name, and Address.
  • Compare or monitor Price range, Rating, and Rating count across collected records.
  • Enrich business or location analysis with Telephone, Website, and Address.
  • Use Detail URL to audit source records or feed verified pages into downstream workflows.

🐙 Why Octoparse

  • Built for Foursquare: The automation applies Keywords (up to 1,000 per run), processes the resulting search pages and their result items, and writes structured rows including Keyword, Location, Detail URL, and Business name.
  • Inputs match the workflow: The form uses Keywords (up to 1,000 entries).
  • Fields stay connected: Foursquare Scraper (by Keywords) returns Business_name, Detail_URL, Price_range, Location, and Keyword in the same structured dataset.
  • Ready for repeat use: After Foursquare Scraper (by Keywords) 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:

  • Keywords (Required) — Enter a list of keywords for searching on Foursquare. Up to 1,000 entries per run.

🚀 How to Use

  1. Open Foursquare Scraper (by Keywords) and click Try it!.
  2. Complete Keywords using the formats and limits shown in the Input section.
  3. Choose a local or cloud run in Octoparse and start the task.
  4. Review fields such as Business_name, Detail_URL, and Price_range, then export the rows in the format you need.

💡 Tips

  • Start with a focused Keywords so the first run is easy to review before widening the search.
  • Keep Keyword in the export so every row can be traced to its originating input or page.

❓ FAQ

How many entries can Foursquare Scraper (by Keywords) accept in Keywords per run?

Enter up to 1,000 values in Keywords per run.

Which Foursquare pages does Foursquare Scraper (by Keywords) process?

The workflow is configured for search-result pages and returns fields such as Business_name, Detail_URL, Price_range, and Location.

What can I use data from Foursquare Scraper (by Keywords) for?

Build a structured research dataset organized by Keyword, Business name, and Address.

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