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Bing Maps Store Scraper

MapsDirectoriesMCP
Extract business information by keyword from Bing Maps, fields include Title, Opening hours, Category, Social medias, etc.
Standard
Access Level
Run Mode
Free
Cost of Usage
2026/09/17
Last updated
Try it!

πŸ“Œ What detailed information can you extract from Bing Maps pages?

This template collects detail-page records with Title, Linked in, PriceRange, Rating, Rating Spare, Address, Short description, and Phone number. It is useful for local-business researchers, sales teams, location analysts, and competitive-intelligence professionals.

Data is collected from Bing Maps. Bing Maps is a mapping and local-search service for places, businesses, routes, and location details.


πŸ’° Pricing

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.


πŸ“¦ Output

Bing Maps Store Scraper returns these fields:

  • Keyword
  • Category
  • Title
  • Address
  • Phone_number
  • Rating
  • Rating_Spare
  • ReviewNumber
  • ReviewNumber_Spare
  • PriceRange
  • Details
  • Status
  • Opening_hours
  • Short_description
  • Delivery
  • Facebook
  • X_Twitter
  • Youtube
  • Instagram
  • Pinterest
  • Linked_in
  • Field20
  • Field20_Copy
{
  "Keyword": "cafes",
  "Category": "Tripadvisor (239)",
  "Title": "The Ivy",
  "Address": "96 Marylebone Lane, London W1U 2QA",
  "Phone_number": "020 3301 0400",
  "Rating": "5 out of 5.",
  "Rating_Spare": null,
  "ReviewNumber": "239",
  "ReviewNumber_Spare": null,
  "PriceRange": "££",
  "Details": null,
  "Status": "Open Β· Closes 00:00",
  "Opening_hours": "Wednesday08:00 - 00:00Thursday08:00 - 00:00Friday08:00 - 00:00Saturday09:00 - 00:00Sunday09:00 - 23:30Monday08:00 - 00:00Tuesday08:00 - 00:00",
  "Short_description": "All-day cafe-style dining from The Ivy with a casual air & Modern European menu of familiar dishes. See more",
  "Delivery": "Dine-in",
  "Facebook": "https://www.facebook.com/theivycafemarylebone/",
  "X_Twitter": "https://twitter.com/theivycafe",
  "Youtube": null,
  "Instagram": "https://instagram.com/the_ivy_collection",
  "Pinterest": null,
  "Linked_in": null,
  "Field20": null,
  "Field20_Copy": null
}

🎯 Use Cases

  • Build a structured research dataset organized by Keyword, Title, and Address.
  • Compare or monitor PriceRange, Rating, and Rating Spare across collected records.
  • Enrich business or location analysis with Phone number, Address, and Facebook.
  • Analyze source content and timing through Short description, ReviewNumber, and ReviewNumber Spare.

πŸ™ Why Octoparse

  • Built for Bing Maps: The automation opens the detail pages determined by Keyword (up to 1,000 per run), extracts the configured page fields, and writes structured rows including Keyword, Category, Title, and Address.
  • Inputs match the workflow: The form uses Keyword (up to 1,000 entries).
  • Fields stay connected: Bing Maps Store Scraper returns Title, Rating, Address, Short_description, and Keyword in the same structured dataset.
  • Ready for repeat use: After Bing Maps Store Scraper runs locally or in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

πŸ“ Input

Complete the following fields:

  • Keyword (Required) β€” Up to 1,000 entries per run.

πŸš€ How to Use

  1. Open Bing Maps Store Scraper and click Try it!.
  2. Complete Keyword 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 Title, Rating, and Address, then export the rows in the format you need.

πŸ’‘ Tips

  • Start with a focused Keyword 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 Bing Maps Store Scraper accept in Keyword per run?

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

Which Bing Maps pages does Bing Maps Store Scraper process?

The workflow is configured for detail pages and returns fields such as Title, Rating, Address, and Short_description.

What can I use data from Bing Maps Store Scraper for?

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


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