If you care about local SEO, sales prospecting, or market research, the Bing Local Pack is a goldmine. It shows right at the top of many Bing searches: a small map plus a short list of nearby businesses with names, ratings, addresses, and calls-to-action. Learning how to scrape the Bing Local Pack and pair it with full listing data from Bing Maps can turn a search results page into a clean, structured lead list you can act on immediately.
Below is a practical, human-friendly guide to doing just that—ethically, efficiently, and at scale. You’ll also see how our Bing Maps Scraper (Bing Local Scraper) plugs into this workflow to automate the heavy lifting.
What is the Bing Local Pack (and why scrape it)?
The Bing Local Pack is the map + short business list Bing displays for location-intent queries like “plumber Boston” or “coffee shop near me.” It’s powerful because:
- It concentrates the most in-demand businesses in a niche and geography.
- It includes high-intent data points (ratings, address, phone, links).
- It reveals who’s winning local SERP visibility right now.
Scraping the Bing Local Pack means programmatically collecting the visible businesses (and, ideally, expanding into full listing pages to fill in more fields). The result is a structured dataset you can use for outreach, competitor tracking, citation building, and market analysis.
Bing Local Pack vs. Bing Maps: what’s the difference?
Think of Bing Local Pack as the “shortlist on the SERP,” while Bing Maps is the full database behind it.
- Local Pack: Small set of top results for a query/location. Great for quick snapshots of winners.
- Bing Maps (a.k.a. the Bing Places layer): Deeper listing data—more businesses, more fields (e.g., hours, categories, review counts), and broader coverage across a city or region.
Best practice: Start with the Local Pack to capture the obvious leaders, then pull a wider set from Bing Maps to round out your dataset and find additional prospects the pack may not show.
What data can you pull when you scrape the Bing Local Pack?
From the pack itself and linked profiles, you can typically capture:
- Business name
- Category
- Rating and review count
- Phone number
- Address (street, city, state/province, ZIP/postal code, country)
- Website URL
- Short description or snippet (when available)
- Hours of operation
- Social links (when listed)
- Mentions on third-party directories (Yelp, Yellow Pages, Angi, etc.)
Not every listing exposes every field, but with the Local Pack + Maps combo, coverage is strong enough to drive campaigns confidently.
When should you scrape the Bing Local Pack?
- SEO & citations: Build clean NAP (name, address, phone) lists to strengthen local signals.
- Sales & outreach: Craft targeted B2B lead lists by industry + location.
- Competitive intel: Benchmark competitors’ ratings, reviews, and density by neighborhood.
- Market exploration: Identify underserved categories or areas before competitors do.
- Agency services: Package data-backed local SEO or lead gen for clients.
The simple workflow to scrape the Bing Local Pack
- Define your queries
List your money terms: “plumbers,” “roofing contractors,” “family lawyers,” “med spas,” “digital marketing agencies.” Pair each with locations: “Chicago,” “Austin,” “Toronto,” or even zip-code clusters. Keep terms specific enough to return relevant packs. - Collect the Local Pack
For each query+location, capture the top pack entries: name, rating, address, phone, and links. Store these consistently in your schema. - Expand with Bing Maps
Use the same queries to pull a broader set of listings from Bing Maps, not just the three or so in the pack. This fills gaps and adds more potential leads. - Normalize your data
Apply one schema and format across everything (e.g., consistent address fields, country codes, time formats). This step is crucial for clean joins in your CRM. - Deduplicate
Merge duplicates based on normalized keys (phone + URL + address hash is a common approach). Keep the most complete record. - Enrich (optional but recommended)
Add simple tags (e.g., “has website,” “rating ≥ 4.5,” “open now”). Enrichment makes filtering and prioritizing easier for sales and SEO teams. - Export and route
Export CSV, XLSX, or JSON. Pipe the results into your CRM or a lightweight dashboard. Create views like “Top-rated agencies in Denver” or “Plumbers with websites missing SSL.”
Our Bing Maps Scraper (Bing Local Scraper): what it does for you
Bing Map Scraper: A Practical Guide to Turning Maps Into Leads is more than a slogan—it’s the design spec. Our Bing Maps Scraper (Bing Local Scraper) automates the manual drudgery:
- Bulk queries: Load keyword and location lists and run at scale across neighborhoods, cities, or entire regions.
- Pack + Maps coverage: Capture Bing Local Pack entries and deeper Bing Maps listings so you don’t miss hidden opportunities.
- Proxy rotation (optional): Enable rotating proxies and choose how many cities to scrape before switching. This reduces blocks and keeps sessions stable.
- High-throughput performance: Efficient collection to handle large lists without babysitting.
- Session flexibility: Pause, resume, and configure runs without micromanaging.
- Multiple export formats: CSV, XLSX, and JSON for easy import into your stack.
- No-code UI: A clean interface so marketers, founders, and sales ops can run scrapes without engineering help.
Typical fields captured (when available): business name, category, rating, review count, phone, address, website, hours, brief description, social links, and selected third-party mentions.
Bottom line: you get consistent, structured data without the copy-paste grind—perfect for lead lists, competitive maps, and local SEO pipelines.
Step-by-step: scraping Bing Local Pack with our tool
- Load your keywords
Start focused: “plumbers,” “coffee shops,” “estate lawyers,” “HVAC contractors,” “digital marketing agencies.” Avoid overly broad terms that return noisy results. - Load locations
Cities, metro areas, postal codes, or radius lists. Think like your customer: where are they searching, and how far will they travel? - (Optional) Enable proxy rotation
Turn on proxy rotation and set how many locations to process before switching. This reduces friction from rate limits or IP heuristics. - Start the run
Kick off the scrape. The results populate in rows—not tabs—so you can monitor progress and quality at a glance. - Export
Choose CSV, XLSX, or JSON. Push to your CRM, Google Sheets, Airtable, or a BI dashboard. - Act on the data
Create outreach segments (e.g., “rating ≥ 4 and has website”), build citation lists, or map competitor clusters by neighborhood.
Why not do it manually?
Two reasons: time and consistency. Manual collection introduces typos and format drift; scaling beyond a handful of listings becomes a slog. Automation keeps speed high and schemas consistent while you focus on strategy and messaging.
Anti-blocking basics (so your runs stay smooth)
- Rotate proxies on longer runs or dense location grids.
- Throttle requests modestly to mimic realistic browsing behavior.
- Randomize timing between actions instead of fixed intervals.
- Retry gracefully with exponential backoff for temporary hiccups.
- Persist sessions when helpful to reduce friction on consecutive requests.
Our scraper includes proxy rotation support and sane defaults so you don’t have to tune every knob.
Who benefits most from scraping the Bing Local Pack?
- Marketers & SEO teams: Build citation lists, audit NAP consistency, compare review footprints, and monitor local competitors.
- Sales teams: Generate targeted lead lists by vertical and city, prioritize by rating or presence of a website.
- Researchers & analysts: Collect clean datasets for market sizing and trend analysis.
- Owners & operators: Track nearby competitors’ visibility, ratings, and positioning.
- Agencies: Productize local lead gen and SEO audits with clear, data-backed deliverables.
Why Bing when Google exists?
Data diversity. Different platforms surface different businesses and coverage varies by niche and geography. Bing Maps often reveals listings you won’t see elsewhere, and working in the Microsoft ecosystem can be a cleaner fit for some teams. Most mature shops use both for the best market coverage.
Legal and ethical guardrails
- Read the platform’s Terms of Service before scraping.
- Use public business information only. Avoid sensitive personal data.
- Respect local laws (e.g., GDPR, CCPA) and provide opt-out paths for outreach.
- Throttle responsibly so you don’t burden services.
- Use the data for legitimate, permission-aware purposes.
Growth is great, but not at any cost. Responsible collection keeps your brand—and your deliverability—healthy.
How this helps SEO & lead gen (beyond “more data”)
- Local citations: Clean NAP data strengthens local ranking signals and reduces confusion across directories.
- Competitor mapping: Visualize who dominates which neighborhoods and why (ratings, reviews, categories).
- Backlink ideas: Spot partner directories and local associations competitors already use.
- Market expansion: Identify underserved categories or areas and deploy resources where you’ll get traction fastest.
- Faster operations: Shorten the path from “we need a list” to “we’re running outreach.”
Quick start checklist
- Define keyword + location pairs tied to real business goals.
- Decide whether you need only Local Pack results or Pack + Maps depth.
- Set your schema (fields, formats), then stick to it.
- Enable proxy rotation for larger runs.
- Deduplicate aggressively and tag the winners.
- Export and sync to CRM with clear segments for outreach and SEO.
FAQs
Is it legal to scrape the Bing Local Pack?
Scraping public business information can be permissible, but you must review Bing’s Terms of Service and follow applicable laws (GDPR, CCPA). Use the data responsibly and avoid collecting sensitive personal information.
What proxies should I use?
For bigger jobs, rotating residential proxies tend to be the most reliable. If your volume is modest and pacing is gentle, you may not need them—but it’s smart to have rotation ready.
How many results should I collect per location?
Start with the Local Pack to capture top contenders, then expand into Bing Maps to widen coverage. Many teams target 50–300 listings per city depending on niche density.
How often should I refresh?
Quarterly is common for stable niches. Competitive markets or fast-moving categories (e.g., restaurants, service providers) benefit from monthly refresh cycles.
Can I export to Sheets or my CRM?
Yes—export CSV/XLSX/JSON and import to your CRM, Airtable, or Google Sheets. Our scraper supports all three.
Ready to scrape the Bing Local Pack the right way?
If you’re tired of copy-paste and want data you can trust, our Bing Maps Scraper (Bing Local Scraper) gives you Pack + Maps coverage, proxy rotation, high-throughput collection, and clean exports—no coding required. Load your keywords and locations, run the scrape, then ship a ready-to-work lead list to your team.
Leave a Reply