Search engines like Bing serve as the gateway to the internet for millions of users every day. For businesses and individuals looking to be discovered online, understanding where you rank in search results for relevant keywords is crucial.
Scraping search engine results pages (SERPs) allows you to efficiently gather this valuable SEO data at scale. While Google tends to be the go-to search engine for scraping, Microsoft‘s Bing search engine is a viable alternative that is often easier to scrape.
In this in-depth guide, we‘ll walk through why you should consider scraping Bing, what data you can extract from Bing search results, and a detailed tutorial on scraping Bing SERPs using a no-code web scraping tool. Let‘s get started!
Why Scrape Bing Search Results?
Bing is the second largest search engine in the world after Google, with over 1 billion monthly active users. Microsoft has heavily invested in Bing, integrating it as the default search engine for Windows PCs and other Microsoft products.
According to recent data from StatCounter, Bing currently holds a 3.03% worldwide market share for search engines as of February 2023. While this pales in comparison to Google‘s 92.9% share, Bing‘s share equates to billions of searches per year.
In the United States, Bing commands an even more impressive 12.7% market share, making it a significant player in the lucrative US search market.
For marketers and SEOs, here are a few key reasons you may want to collect data from Bing SERPs:
Track search rankings: Monitor where your site ranks on Bing for target keywords over time. Bing rankings can sometimes differ from Google.
Analyze competitor content: Reverse-engineer top-performing content in your niche to inform your own content strategy. Examine competitor meta titles/descriptions, keyword targeting, page structure, backlinks, and more.
Ad intelligence: Gain insight into competitors‘ paid search campaigns on Bing, including ad copy, landing pages, and offers. Use this competitive intelligence to optimize your own Bing Ads.
Local SEO: Monitor the Bing local pack, reviews, and ratings for brick-and-mortar businesses. Bing powers search for Apple Maps, Alexa, Yahoo, and other partner networks.
Evaluate search trends: Identify trending searches, related queries, autocomplete suggestions, and "People Also Ask" questions to understand what Bing users are searching for.
The insights gleaned from analyzing Bing SERP data can help level-up your digital marketing and SEO efforts with data-driven decisions.
Bing is especially important for certain niches and verticals. For example, Bing has a larger market share among older demographics, with 19% of US adults aged 45+ using Bing as their primary search engine according to a 2020 Verto Analytics study.
Bing also over-indexes for desktop searches, which tend to skew towards certain verticals like finance, tech, business, and shopping. A 2021 analysis by Sistrix found that over 18% of searches in the loans/lending category came from Bing.
How Bing Search Works
To effectively scrape Bing, it helps to have a basic understanding of how the Bing search engine works under the hood:
Crawling: Bing uses web crawler bots (Bingbot) to discover and scan webpages.
Indexing: Bing processes and stores the webpages in its massive index.
Ranking: When a search is entered, Bing retrieves relevant results from the index and ranks them based on 100s of factors.
Bing‘s ranking algorithm relies on relevancy signals like keyword matching, link popularity, page load speed, localization, and many other factors to surface the best results for a given query.
The ordering of these organic search listings, as well as paid ads, answer boxes, and other SERP features is what we‘re interested in extracting when scraping Bing.
Bing‘s SERP layout and features are largely similar to Google‘s, but there are some notable differences:
- Bing places related searches and "People Also Ask" questions further down the SERP
- The Bing knowledge panel appears on the right side instead of the top
- Bing has unique SERP features like Lookbook recipes and Bing Rewards offers
- The Bing local pack shows star ratings directly on the SERP
Understanding the intricacies of Bing‘s SERP layout is key for identifying the target data fields to extract when configuring a scraper.
Challenges of Scraping Bing
As with scraping any major search engine, there are obstacles to be aware of and workarounds needed to scrape Bing search results at scale:
IP blocking: Bing will temporarily or permanently block IP addresses that make too many requests in a short timeframe. IP blocks are especially common when scraping from a single IP.
CAPTCHAs: Bing may present "I‘m not a robot" CAPTCHAs when it suspects bot activity. CAPTCHAs prevent scraping and need to be solved to continue.
JS rendering: Some content on Bing SERPs is loaded dynamically with JavaScript. Basic web scrapers may not be able to fully render and extract all content.
Inconsistencies: Bing results can vary based on location, language, device, and other personalization factors. It‘s important to use appropriate parameters when making requests.
Fortunately, there are ways to reliably scrape Bing while avoiding these roadblocks. Using an advanced scraping tool in combination with quality proxies and built-in concurrency/throttling controls makes it possible to gather Bing SERP data at scale.
When selecting proxies for Bing scraping, there are a few key considerations:
Proxy type: Residential proxies sourced from real user devices tend to be more reliable than data center proxies for search engine scraping. Mobile proxies can also be effective.
Location: Using proxies in the same country/city as your target Bing results can help avoid inconsistencies and localization issues.
Rotation: Automatically rotating IPs for each request or at set intervals is crucial for avoiding blacklisting. The more IPs in the proxy pool, the better.
Concurrency: Sending requests through multiple proxy ports simultaneously can speed up scraping while spreading the load across IPs. 10-25 threads per proxy is a good starting point.
Configuring proxies correctly is just as important as the scraping logic itself. We‘ll touch on proxy configuration a bit more in the tutorial section below.
Scraping Bing SERPs with Octoparse
Octoparse is a powerful no-code web scraping tool that allows you to easily extract data from Bing and other search engines. With a point-and-click interface, you can set up Bing scrapers in minutes without writing a single line of code.
Here‘s a simple 3-step process to scrape Bing results with Octoparse:
Step 1 – Enter Bing search URL and keywords
In Octoparse, enter the URL of a Bing search results page or keywords you want to search. You can either use Octoparse‘s built-in keyword feature or paste in the URL of an existing Bing search.
Step 2 – Build the scraping workflow
Click the "Start" button and Octoparse will auto-detect data fields on the page, like the titles, URLs, and descriptions of each search result. Its visual workflow designer allows you to add or modify data fields.
Under the "Workflow Settings", you can also configure the scraper‘s behavior:
- Max pages to scrape
- Wait time between requests
- Export format (Excel, CSV, JSON, databases)
- Scheduling (run the scraper on a recurring schedule)
It‘s also recommended to connect a reliable rotating proxy service in Octoparse to avoid IP blocking and CAPTCHAs when scraping Bing at scale. Octoparse supports all major proxy protocols and providers.
In the "Proxy Settings" tab, you can specify your proxy type (HTTP/HTTPS), IP list, threads, concurrency, location targeting, and more. A good starting configuration is 5-10 proxy IPs with 25 threads each.
Step 3 – Run the scraper
Once the workflow is set up, click "Run" to begin scraping. Octoparse will systematically navigate through the Bing SERPs and extract the target data fields into a structured spreadsheet.
The extracted data can then be downloaded for analysis or integrated with other marketing tools and dashboards.
Here‘s a step-by-step example of scraping a set of Bing results and analyzing the SERP data:
- Enter a seed keyword like "best running shoes" into Octoparse
- Configure the workflow to scrape the top 100 organic results
- Add the following data fields:
- Title
- URL
- Meta description
- Position
- Set the scraper to run with rotating residential proxies and 250 max results
- Export the results to a CSV
- Open the CSV and identify the top ranking domains and pages
- Analyze patterns in the top ranking content:
- Target keywords and entities
- Title tag and meta description optimizations
- Use of header tags, tables, lists, images
- Word count and content depth
- Page load speed and Core Web Vitals
- Aggregate the findings into a prioritized list of SEO action items
- Create new content or optimize existing pages based on the insights
By systematically analyzing Bing SERP data like this, you can reverse engineer the top ranking signals and make data-driven optimizations.
What Data Can You Scrape From Bing?
Bing SERPs contain a wealth of valuable data points that can be scraped for SEO and competitive research, such as:
- Page titles and meta descriptions
- Organic and paid (PPC) rankings
- URLs and canonical tags
- Related searches and "People Also Ask" questions
- Knowledge panels and featured snippets
- Sitelinks and breadcrumbs
- Video, image, news, and shopping results
- Top stories carousels
- Local pack results and reviews
- Total results estimate (number of indexed pages for a query)
Advanced scraping tools like Octoparse allow you to easily capture all of these data fields and customize what data points are extracted. You can even scrape multiple search engines like Google and Bing simultaneously to compare rankings and results across platforms.
Here are a few advanced Bing SERP insights you can derive from scraped data:
Content gaps: Identify topics and subtopics where you lack content based on what‘s ranking on Bing. Prioritize content creation to fill these gaps.
Rich snippet opportunities: See what schema markup and rich snippets are being used by top ranking pages. Implement relevant structured data on your site to earn SERP enhancements.
People Also Ask (PAA) insights: Extract common questions and answer snippets from PAA boxes. Use this to inspire new content ideas or optimize for question-based searches.
Entity optimization: Identify entities (people, places, things) that frequently appear in knowledge panels, PAAs, and top ranking pages. Optimize your content to include relevant entities.
Combining Bing SERP data with other SEO datasets like keyword volume, backlinks, and organic traffic can provide even richer insights. A tool like Octoparse makes it easy to integrate scraped data with other APIs and sources.
As search engines evolve, web scraping remains an essential tool for staying ahead of the curve. Bing in particular is poised for significant disruption and growth in the coming years with the recent launch of its ChatGPT-powered "new Bing" search engine.
According to Microsoft, the new AI-powered Bing saw its daily active users surpass 100 million for the first time in March 2023. As Bing usage grows, marketers will need to adapt their strategies to the new search paradigm.
Scraping Bing SERPs can provide valuable insights into how the new search engine works, what content performs well, and where there are opportunities to optimize for AI-based search.
Best Practices for Bing Scraping
To maximize your success when scraping Bing at scale, keep these best practices in mind:
Slow down scraping speed: Implement 5-10 second delays between requests to mimic human behavior and avoid rate limits. Octoparse has built-in options to throttle scraping speed.
Use proxies: Rotating proxies distribute your requests across many IP addresses to avoid blocks. Residential proxies from real devices are recommended for Bing scraping.
Monitor proxy performance: Check for proxy quality and rotate out blocked IPs to ensure data collection is uninterrupted.
Stagger requests: Spread keyword searches over time vs rapid-fire requests. Search for 5-10 terms at a time from a given IP before rotating.
Emulate a real browser: Send relevant headers (e.g. User-Agent, Cookies) to make requests seem like they‘re coming from a real browser.
Comply with Terms of Service: Respect Bing‘s crawling policies, scrape only public data, and don‘t overload their servers with requests.
By following these best practices and using a reliable tool like Octoparse, you can maintain a productive Bing scraping campaign while minimizing the risk of IP bans or data loss.
Closing Thoughts
Bing may play second fiddle to Google, but its search data is immensely valuable for marketers looking to get an edge. Scraping Bing SERPs provides an affordable way to gather clean, structured web data for SEO monitoring, competitor research, ad intelligence, and more.
Using an advanced scraping tool like Octoparse, it‘s possible to build scalable Bing scrapers with no coding skills required. Its built-in IP rotation, CAPTCHA solving, JS rendering, and cloud scraping capabilities make it uniquely suited for reliable search engine scraping.
We hope this guide has been helpful for learning how to scrape Bing search results from scratch. By harnessing the power of web data, you can better understand your search presence and make smarter optimizations to rise up the Bing rankings.
Happy scraping!