How to Extract Data from Bing Search: A Detailed Tutorial

Bing isn’t just the “other” search engine anymore. In 2026, it’s quietly powering a multi-billion-dollar slice of the search market, especially for desktop users in the US, Canada, and Europe. If you’re in sales, operations, or market research, ignoring Bing means missing out on a goldmine of less crowded, often more actionable data signals. But let’s be real: manually copying Bing results for analysis is about as fun as assembling IKEA furniture without instructions—tedious, error-prone, and likely to leave you with a few extra screws (or missing rows). That’s why I’m excited to walk you through how to extract data from Bing search using . Whether you’re building lead lists, tracking competitors, or mapping market trends, Thunderbit’s AI-powered Chrome extension makes Bing SERP scraping a breeze—no code, no templates, just a couple of clicks. Let’s dive into why Bing search data is so valuable, and how you can turn it into business insights in minutes.

Why Extract Data from Bing Search? Unlocking Unique Insights

Bing isn’t just a Google clone with a blue background. It’s a search engine with real market weight—especially in desktop-heavy, B2B, and North American contexts. Here’s why Bing search data is worth your attention:

• Desktop Dominance in Key Markets: Bing commands , and . In Canada and the UK, it’s also a meaningful player (, ).
• Unique User Demographics: Bing’s audience skews slightly more male (60.57%) and is strongest in the 25–34 age group—similar to Google, but with subtle differences that can matter for niche targeting ().
• Less Competitive, More Actionable: Because most teams focus on Google, Bing’s SERPs are often less crowded. That means you can spot new competitors, content gaps, or lead opportunities earlier.
• Long-Tail and Niche Markets: Bing’s integration with Windows and its desktop-first user base make it especially valuable for B2B, enterprise, and research-driven workflows.

Where Bing SERP Data Shines

Bing’s SERPs aren’t just a mirror of Google—they’re a parallel universe with their own signals. Extracting and analyzing this data can give you a real edge, especially if you’re tired of fighting for scraps in Google’s overcrowded sandbox.

Bing Search Scraping Tutorial: Step-by-Step with Thunderbit

Now, let’s get hands-on. I’ll show you how to use to extract Bing search results, handle pagination, and structure your data for analysis. No coding, no headaches—just a smarter way to work.

Step 1: Install Thunderbit Chrome Extension

First, grab the . It’s free to start, and setup takes less time than brewing a cup of coffee.

Step 2: Run Your Bing Search

Head to and enter your target query. For this tutorial, let’s use something like best CRM software for small business.

Step 3: Launch Thunderbit and Set Up Your Scrape

1. Click the Thunderbit icon in your Chrome toolbar.
2. With the Bing results page open, Thunderbit will automatically detect the page context.
3. Click AI Suggest Fields. Thunderbit’s AI scans the page and suggests columns like:
   • Title
   • URL
   • Snippet/Description
   • Rank/Position
   • Displayed Domain

You can add, remove, or rename columns as needed. Want to capture extra info, like “Result Type” (organic/paid)? Just add a column and Thunderbit’s AI will do its best to fill it.

Step 4: Enable Pagination for Full SERP Coverage

Bing shows 10 results per page by default, but the real insights often live beyond page one. Thunderbit’s pagination feature lets you scrape as many pages as you need:

• Enable the Pagination option.
• Set how many pages to scrape (e.g., 5 pages for the top 50 results).
• Hit Scrape—Thunderbit will automatically click through each page and aggregate the results.

Step 5: Review and Export Your Data

Once the scrape finishes, you’ll see a structured table of results. You can review, filter, or enrich the data right in Thunderbit. When you’re ready, export to Excel, Google Sheets, Airtable, or CSV with a single click—no paywall, no fuss.

Sample Code and Data Output

While Thunderbit is no-code, here’s a peek at what your exported data might look like:

This structure is perfect for further analysis, whether you’re mapping competitor domains, tracking keyword trends, or building lead lists.

Comparing Thunderbit and Traditional Bing Search Scraping Methods

Let’s be honest: scraping Bing SERPs used to be a technical headache. Here’s how Thunderbit stacks up against the old ways:

Thunderbit’s AI-powered approach means you spend less time tinkering and more time analyzing. Plus, you’re not locked into a single export format—your data, your way.

Extracting Market Insights from Bing Search Data

So you’ve got your Bing SERP data—now what? Here’s how to turn raw results into actionable insights:

• Keyword Opportunity Mapping: Identify keywords where competitors are weak or absent. Look for domains that rank lower on Bing than Google—these are “easy win” opportunities.
• Competitor Monitoring: Track which domains dominate your target queries. Spot new entrants or shifts in messaging by comparing titles and snippets over time.
• Trend Spotting: Aggregate snippets and related queries to surface emerging topics or customer pain points.
• Lead List Building: Filter results for directories, company sites, or resource pages—then use subpage scraping to extract contact info or product details.

Data Sample: From Raw Bing Results to Insights

Raw Table:

Insights Dashboard (Example):

With a few pivot tables or charts in Excel or Sheets, you can visualize share-of-voice, spot gaps, or track competitor movement week by week.

Deep Dive: Using Thunderbit’s Subpage Scraping for Bing

Here’s where Thunderbit really flexes its muscles. After scraping Bing SERPs, you can use Subpage Scraping to visit each result URL and extract deeper data—think product specs, contact emails, or even user reviews.

How to Use Subpage Scraping:

1. In your Thunderbit results table, click Scrape Subpages.
2. Select which columns to enrich (e.g., pull meta title, email, phone, or H1 from each linked page).
3. Thunderbit’s AI visits each URL, extracts the requested info, and appends it to your main table.

Example:

This is a game-changer for sales ops, lead gen, or anyone who wants to go beyond the surface of search results.

Exporting Bing Search Data to Excel, Google Sheets, and Airtable

Thunderbit makes exporting your Bing data as easy as pie (or, if you’re like me, as easy as ordering pie on DoorDash):

• Excel: Download your data as a .xlsx or .csv file—ready for pivot tables, charts, or dashboards.
• Google Sheets: Export directly to your Sheets workspace for real-time collaboration.
• Airtable: Push your structured data to Airtable for advanced filtering, tagging, or integration with other tools.

All exports are free—no hidden fees, no “upgrade to unlock” nonsense. This is huge for teams that need to share, analyze, or integrate Bing data across workflows.

Data Sample: Export Formats and Tips

Excel/CSV Example:

Result Table Example:

Tips:

• Use clear column names for easier downstream analysis.
• Add a “Scrape Date” column to track when your data was collected.
• For recurring projects, set up Thunderbit’s scheduled scraping to keep your Sheets or Airtable always up to date.

Practical Tips: Maximizing Bing Search Scraping with Thunderbit

After running dozens of Bing scrapes (and fielding plenty of “Why is my data missing?” questions), here are my top tips:

• Use Field Prompts: If you need specific info (like “only extract .edu domains”), add a custom prompt to your column. Thunderbit’s AI loves clear instructions.
• Moderate Your Scrape Speed: Bing doesn’t love bots. Stick to browser scraping for small batches and avoid running scrapes too quickly to minimize CAPTCHAs or soft blocks ().
• Leverage Scheduling: For ongoing monitoring (e.g., weekly competitor checks), use Thunderbit’s natural language scheduling to automate your scrapes ().
• Stay Compliant: Remember, Bing’s disallows automated crawling of /search for general bots, and Microsoft’s restrict use to personal/noncommercial purposes. Always review terms and scrape responsibly.
• Enrich Your Data: Use subpage scraping to pull emails, product specs, or reviews from result URLs—this turns a basic SERP table into a powerful lead or research dataset.

Conclusion & Key Takeaways

Bing search data is a hidden gem for business users—especially if you’re in sales, ops, or research and tired of fighting for scraps on Google. With , you can extract, enrich, and export Bing SERP data in minutes, all without writing a single line of code.

Key takeaways:

• Bing matters—especially for desktop, B2B, and North American workflows ().
• Thunderbit makes Bing search scraping accessible to everyone, with AI-powered field detection, pagination, subpage enrichment, and free exports.
• Turn raw Bing data into actionable insights: map competitors, spot trends, build lead lists, and more.
• Export your data to Excel, Google Sheets, or Airtable for easy sharing and analysis.
• Scrape responsibly: respect Bing’s terms, moderate your scrape speed, and use Thunderbit’s browser-based approach for small-batch, high-value workflows.

Ready to see what Bing search data can do for your business? and try your first Bing SERP scrape today. For more tips and advanced tutorials, check out the .

FAQs

1. Is it legal to scrape Bing search results?
Scraping Bing SERPs is subject to Bing’s (which disallows /search for bots) and Microsoft’s , which restrict use to personal/noncommercial purposes. For business use, always review the terms and proceed responsibly.

2. What makes Thunderbit better than traditional Bing scraping tools?
Thunderbit requires no coding, adapts to Bing’s changing layouts with AI, handles pagination and subpage scraping automatically, and exports data directly to Excel, Sheets, or Airtable—making it much faster and easier for non-technical users.

3. Can I extract more than just the first page of Bing results?
Absolutely. Thunderbit’s pagination feature lets you scrape as many pages as you need—just set the number of pages and Thunderbit will do the rest.

4. How can I use subpage scraping with Bing results?
After scraping the Bing SERP, use Thunderbit’s “Scrape Subpages” feature to visit each result URL and extract deeper data like emails, product specs, or meta descriptions. This is perfect for building enriched lead lists or detailed market maps.

5. What export options does Thunderbit support for Bing data?
Thunderbit lets you export your Bing search data for free to Excel (.xlsx, .csv), Google Sheets, or Airtable. This makes it easy to share, analyze, or integrate your data with other tools and teams.

Want to go deeper? Explore more scraping guides and business use cases on the , or subscribe to the for step-by-step tutorials. Happy scraping—and may your Bing insights always be one step ahead of the competition.

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