The best Bing Maps scraper depends on a practical trade-off: hosted automation, visual no-code control, API delivery, browser extensions, scripts, or a local desktop app that exports a reviewable CSV. This comparison looks at Octoparse, Apify, Outscraper, scraper APIs, browser add-ons, open-source projects, and UScraper's Bing Maps Store Scraper.
Comparison frame
What Bing Maps scraper alternatives really differ on
Most Bing Maps business data scraper tools promise the same first demo: search a keyword and location, collect business names, addresses, phone numbers, websites, ratings, and reviews, then export a file. The real difference appears after the demo.
Ask four questions before choosing a tool:
- Where does the browser or request run: your device, a vendor cloud, or your infrastructure?
- Who maintains selectors, retries, scrolling, throttling, and layout changes?
- Is the output a one-time CSV, a recurring dataset, or an API feed?
- Does the project need an official API route, a best-effort browser workflow, or a custom scraper?
Bing Maps also has an official developer path. Microsoft's Bing Maps Local Search API is built for returning business entities around a location or region. If your use case needs licensed API access, stable contracts, or production integration, review that route before scraping the public web interface.
The practical question is not "how to scrape Bing Maps?" It is "which workflow gives our team the right custody model, cost shape, output fields, and maintenance path?"
Side-by-side
Bing Maps scraper alternatives compared
| Option | Best fit | Hosting | Code needed | Output shape | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| Octoparse Bing Maps Store Scraper | No-code teams that want a visual SaaS template | Vendor cloud / SaaS | Low | Table export such as CSV or Excel | Plan, task, row, or cloud limits can apply | Convenient visual setup; less local custody |
| Apify Bing Maps actors | Recurring hosted jobs, datasets, and API access | Vendor cloud | Low to medium | Dataset, JSON, CSV, Excel, API | Platform usage plus actor-specific pricing | Strong automation; run logs and datasets live in cloud |
| Outscraper Bing Maps Data Scraper | Bulk local business extraction without building infrastructure | Vendor cloud | Low | Managed export or dataset delivery | Usage or record-based service pricing | Useful for bulk jobs; less workflow transparency |
| ZenRows Bing Maps Scraper API or SERP APIs | Developer pipelines and structured API responses | Vendor infrastructure | Medium | API response, JSON, parsed results | Request, credit, or API usage | Good for integrations; heavier than a spreadsheet job |
| Browser extensions and Edge add-ons | Quick one-off lead exports from the browser | Browser extension | Low | CSV, Excel, or JSON depending on tool | Extension license or freemium limits | Fast start; harder to audit and version workflows |
| Open-source projects such as Bolt's Bing Maps scraper | Teams comfortable inspecting and modifying extension code | Your browser / repo | Medium | CSV or custom export | Engineer time and maintenance | More control; you own breakages |
| Custom scripts | Productized scraping, queues, tests, and database writes | Your infrastructure | High | Whatever your code writes | Engineer time, proxies, monitoring, hosting | Maximum control, maximum maintenance burden |
| UScraper + Bing Maps Store Scraper | Local CSV from configured keyword/location URLs | Local desktop app | Low | CSV with 22 business listing columns | Free template; app licensing applies | Best for inspectable local batches, not cloud-scale scheduling |
Where UScraper wins
When a local desktop app is the better Bing Maps scraper
UScraper fits a narrower but common job: you have approved Bing Maps keyword and location searches, you want a spreadsheet, and you need to inspect the workflow before trusting the export. The Bing Maps Store Scraper template opens normal Bing Maps search URLs, waits for the page, handles common consent prompts, scrolls the infinite listing panel, materializes loaded business cards as structured rows, and appends them into a local CSV.
The bundled workflow definition is the source of truth for the export shape:
Set Window Size -> Navigate -> Wait for Page Load -> Consent Click
-> Sleep -> Scroll and Extract -> Wait for Materialized Rows
-> Structured Export -> Loop Continue
| UScraper column group | Fields | Why it matters |
|---|---|---|
| Search context | keyword, bing_maps_url | Keeps every row tied to the query or map result that produced it |
| Business identity | title, category, address, phone_number, website | Covers the core lead, citation, and store-audit fields |
| Reputation and status | rating, review_number, price_range, status, opening_hours | Helps prioritize locations for manual review |
| Page details | details, short_description, delivery, raw_text | Preserves useful visible text and audit context |
| Social links | facebook, x_twitter, youtube, instagram, pinterest, linked_in | Captures social URLs when they are visible in loaded markup |
UScraper wins when the team wants a local desktop app, visible workflow blocks, editable export columns, and a CSV saved to a chosen folder.
Apify, Octoparse, Outscraper, and APIs win when jobs need hosted scheduling, high concurrency, remote storage, webhooks, and API-first delivery.
Microsoft's API route wins when a production app needs contracted maps access, documented API parameters, and a supported integration path.
UScraper wins when a researcher needs a transparent no-code flow for a few keyword and location batches before cleaning rows in a spreadsheet.
Where competitors win
When Octoparse, Apify, Outscraper, APIs, or scripts make more sense
Choose Octoparse when a hosted visual scraper and cloud execution are more important than local workflow custody. Its Bing Maps tutorial focuses on scraping store information from Bing Maps through a no-code setup, which is a good fit for teams already using Octoparse tasks.
Choose Apify when you want actors, scheduled cloud runs, datasets, API access, and an ecosystem of marketplace scrapers. That model is stronger when scraping feeds another system rather than a one-time spreadsheet.
Choose Outscraper when the priority is bulk local business data delivery with less interest in the browser workflow itself. Choose ZenRows, SerpApi-style providers, or similar APIs when developers want to integrate Bing Maps-like results into code without maintaining browser automation.
Choose browser extensions for the fastest manual start. They can be enough for a small lead list, but they are often harder to version, review, and hand over between teammates. Choose scripts only if engineering owns the scraper long term, because tests, selectors, retries, storage, and monitoring become your responsibility.
Decision guide
Which Bing Maps scraper should you pick?
Use this rule of thumb:
| Your situation | Pick this lane |
|---|---|
| "I need a local CSV and want to see the workflow." | UScraper + Bing Maps Store Scraper |
| "I need recurring cloud jobs and an API around the scraper." | Apify or a managed scraper platform |
| "I already use visual SaaS scraping and want cloud tasks." | Octoparse or a similar no-code SaaS |
| "I need bulk managed data delivery." | Outscraper or a specialized data provider |
| "I need an application integration." | Official Bing Maps API or a SERP scraper API |
| "I need custom logic, tests, and database writes." | A maintained script or internal scraper |
For most lead research and local SEO workflows, start smaller than you think: one keyword, one geography, one CSV, and a manual QA pass. Then add more Bing Maps URLs only after the first file is trustworthy.
Policy
Review Bing Maps terms before scraping business data
Bing Maps listings can be visible in a browser, but that does not automatically mean unrestricted automated collection. Review the current Bing Maps terms, Microsoft documentation, robots signals, contract obligations, privacy law, copyright, database rights, anti-circumvention rules, and the purpose of your use.
Do not bypass login walls, CAPTCHA, technical access controls, payment flows, or private dashboards. Keep volume modest, collect only fields you need, document the source, and get legal review before commercial resale, enrichment, or outreach at scale.
FAQ
Bing Maps scraper FAQ
It depends on hosting, budget, output, compliance, and maintenance. Hosted actors and APIs fit recurring cloud pipelines; extensions fit quick browser exports; UScraper fits local desktop app workflows that export Bing Maps listings to CSV.
Next step
Start with the local CSV template
If the comparison points to a local workflow, start with the Bing Maps Store Scraper template. You can also browse the UScraper template library for adjacent directory scrapers or read more comparisons on the UScraper blog.
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