How to Scrape Bing Maps & Local Pack for Business Leads

If you’re building B2B lead lists, planning local SEO campaigns, or scouting a new market, nothing beats clean, structured location data. In practice, that means names, addresses, phone numbers, websites, hours, and a sense of quality (ratings/reviews). Bing Maps and the Bing Local Pack are great sources for this kind of information—and you can collect it either manually (fast to start, slow to scale) or with automation (your Bing Maps data scraper).

This guide walks you through both approaches in plain language, including practical tips to keep your lists tidy, compliant, and actually useful.

How to Scrape Bing Maps & Local Pack for Business Leads
How to Scrape Bing Maps & Local Pack for Business Leads

What You’ll Get From Bing Maps (and Why It Matters)

Depending on the listing, you can usually capture:

  • Business name (title)
  • Category / industry
  • Phone number
  • Full address (street, city, ZIP/postal, state/province, country)
  • Website URL
  • Ratings & review counts
  • Opening hours
  • Short description (when present)
  • Social links (LinkedIn, Facebook, X, Instagram, YouTube—if listed)
  • Mentions on third-party directories (e.g., Yelp, Angi, Yellow Pages—when visible)
excel bing maps scraper data xlsx
excel bing maps scraper data xlsx

These fields power a lot of real-world tasks: local citation building, territory planning, lead qualification, competitor mapping, and outreach personalization.

Pro tip: Use phone + domain as a strong dedupe key. It catches the majority of duplicates without overcomplicating things.


Method 1: Manual Collection (Bing Local Pack & Bing Maps)

Manual is perfect if you’re testing an idea, validating a niche, or only need dozens of leads (not thousands). Here’s a simple, repeatable flow.

A) From Bing Local Pack (on regular search results)

  1. Search like a customer would.
    Examples: plumber near me, family lawyer Cairo, digital marketing agency Dubai.
  2. Open the map results.
    Click through to expand the Local Pack so you can see more than just the top 3.
  3. Open relevant listings in new tabs.
    Skim names, categories, and star ratings to decide what’s worth saving.
  4. Copy key fields into a spreadsheet.
    Have columns ready for Name, Category, Phone, Address, Website, Rating, Review Count, Hours, Notes.
  5. Mark “status” as you go.
    Use a quick tag like collected, no-website, duplicate, or verify.
  6. Spot-check for consistency.
    Confirm the business name and phone match what’s on the official website.

Tip: Don’t over-collect. If you won’t use a field in the next 30 days (e.g., deep amenities), skip it. Minimalism keeps lists clean and faster to build.

B) Inside Bing Maps

  1. Search broader, then filter.
    Try coffee shop Cairo or real estate agent Riyadh. Zoom in/out to adjust coverage.
  2. Use the side panel results.
    It often shows phone, address, hours, and a website link when available.
  3. Open the business page.
    Verify details and grab the URL from the official site (Contact/About pages are gold).
  4. Add light notes.
    Example: “specializes in B2B” or “multi-location”—this helps later segmentation.

Quality check ideas (quick):

  • Phone connects to the right place (IVR or receptionist).
  • Website loads and looks active.
  • Recent reviews exist (stale listings are riskier for outreach).

Manual collection is simple—but it’s still copy-paste. When you want hundreds or thousands of rows, you’ll want automation.


Method 2: Automated Collection (Our Bing Maps Data Scraper)

Your Bing Maps scraper automates the same work you’d do by hand—just faster, more consistent, and at scale. Here’s a “no overthinking” setup.

Step-by-step Setup

  1. Seed keywords
    Keep them specific enough to matter:
    plumber, orthodontist, accounting firm, IT services, coffee shop, digital marketing agency.
  2. Load locations
    Cities, regions, or radius-based targets (e.g., “within 10km of [venue]”).
    Start with your highest-priority cities first to get early results.
  3. Enable proxies (optional but recommended)
    • Rotate proxies to reduce blocks.
    • Set how many cities/runs to scrape before switching.
    • Respect conservative request rates to avoid stressing servers.
  4. Run the scrape
    Kick it off and let the tool collect listings in bulk.
    Good scrapers normalize the format (so you don’t spend hours cleaning later).
  5. Export
    CSV, XLSX, or JSON. Short hop into your CRM, spreadsheet, or BI tool.
  6. Dedupe & Validate
    • Dedupe by phone + domain (strong combo).
    • Spot-check a sample for accuracy.
    • If you enrich with emails later, stick to public, business-purpose addresses (e.g., info@, sales@).
bing maps scraper data
bing maps scraper data

Handy Features to Look For

  • High-throughput collection for bigger lists
  • Session control so you’re not babysitting runs
  • Proxy rotation support to minimize interruptions
  • Multiple export formats (CSV/XLSX/JSON)
  • Beginner-friendly interface (no coding required)
  • Performance that scales from a one-off study to a live pipeline

What to Do With the Data (Lead Gen & SEO)

For Sales / Growth

  • Segment by industry + location. Send relevant offers, not generic blasts.
  • Prioritize by quality signals. Ratings, review volume, and website presence correlate with maturity.
  • Personalize outreach. Reference a review highlight, service area, or niche mentioned on their site.

For Local SEO

  • Build citations. Use accurate NAP (name, address, phone) to strengthen local signals.
  • Map competitors. Compare reviews, positioning, and category choices.
  • Find backlinks. Spot directories/partners your targets already use and consider similar placements.

For Market Research

  • Identify gaps. Look for neighborhoods or categories with thin coverage or low ratings.
  • Track changes. Re-scrape quarterly to see who’s entering, leaving, or improving.

Bing vs. “Just Use Google?”

Use both when you can. Data diversity wins: Bing Maps often surfaces businesses you won’t see elsewhere (and vice versa). Many teams pair Bing for broader/international coverage with region-specific sources (like Yellow Pages in the U.S./Canada) for depth.


Compliance, Terms, and Good Judgement

  • Read and respect the platform’s Terms of Service.
  • Follow local laws (e.g., GDPR, CCPA) and use data for legitimate, permission-aware outreach.
  • Stick to public business info. Avoid sensitive personal data.
  • Throttle and be polite. Don’t hammer servers; use proxy rotation responsibly.
  • Honor opt-outs. If someone doesn’t want contact, remove them.

Ethical, compliant pipelines are more sustainable—and they convert better because trust is intact.


A Simple, Reusable Workflow

  1. Plan
    Define the ICP (industry, company size, territory). List 10–20 high-intent keywords and target cities.
  2. Collect
  3. Clean
    Dedupe by phone + domain. Normalize addresses. Mark low-quality entries (no site, mismatched NAP).
  4. Enrich (optional)
    Add public business emails from official sites/contact pages. Tag social links if useful.
  5. Segment & Score
    Prioritize by rating count, proximity, category match, or website presence.
  6. Activate
    Push to CRM. Launch a permission-aware sequence. Personalize. Track replies and outcomes.
  7. Maintain
    Re-scrape quarterly or when entering a new city/niche. Stale lists don’t convert—they just look big.

Troubleshooting & Tips

  • Seeing duplicates? Expand the dedupe key (phone + domain + exact address).
  • Thin results? Try adjacent categories (e.g., “HVAC contractor” as well as “air conditioning”).
  • Wrong locations? Use city names plus region/state to disambiguate (e.g., “Springfield, IL”).
  • Blocks/timeouts? Slow request rates, rotate proxies more frequently, or reduce concurrent threads.
  • Messy addresses? Standardize with a consistent format (Street, City, Region/State, ZIP/Postal, Country).

Final Take

Clean, structured location data is now table stakes for growth, whether you’re running local SEO at scale or building lead pipelines city by city. Start manually if you’re validating an idea; switch to automation when you need speed and consistency. Your Bing Maps data scraper turns the copy-paste grind into a predictable flow—so you can spend your best hours on strategy, not scraping.

If you want, I can also add a short checklist template (keywords, cities, fields, dedupe rules) or an outreach script tailored to your ICP.


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