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Nearly 46 percent of all Google searches are now looking for local information, according to the latest report from HubSpot. On top of that, WebFX also reported that 1.6 billion locations are visited every month as a result of a local search query.
With this data, sales team that ignore location-based data are leaving a massive opportunity. With so many people using Google to find nearby business, the map of local commerce has become the most abundant source of sales data.
By using scraping tools, sales teams extract publicly visible data from Google Maps giving them business names, addresses, reviews and more. This data can be turn into lead lists. Instead of guessing which neighborhoods or they should target, they build precise outreach strategies.
By focusing on geography, they can reach businesses that match their ideal customer profile, making their outreach smarter, more efficient, and more likely to convert.
What is Google Maps Scraping & How it Helps the Sales Team
Google Maps scraping refers to gathering of public business data and organizing it for sales use. Anyone who opens Google Maps can see business names, categories, addresses, websites, and reviews. Scraping tools collect this same information and place it into a spreadsheet or CRM.
This helps sales teams avoid manual browsing. Instead of copy-pasting details, or opening hundreds of listings, they can review a complete list of businesses in a target area. Sales teams prefer this approach because it supports focused outreach and territory planning.
Scraping tools collect this information simulating searches and reading the details that appear on the screen. They do not access private systems. They simply copy what is already visible to any user.
What Data Sales Team Collect
Sales team often collect:
- Business names and categories
- Addresses and geographic coordinates
- Phone numbers and websites
- Operating hours
- Ratings and review counts
- Social links
This information helps them qualify potential leads and find businesses that match their target audience based on location and industry.
Try Outscraper for free with a monthly renewable Free Tier.
Why Sales Team Uses Google Maps Data
Google Maps reflects real search intent. When someone looks for a service in a specific area, they often plan to visit, call, or buy. Sales teams use this behavior to find active prospects and plan outreach around real demand.
The sales teams should also take note that there are instances wherein despite having scraped data, it will not easily leads to sales.
Maps data also connects directly to sales workflows. Teams can build lists, study markets, plan routes, and personalize messages based on public business details. This turns a simple map into a practical resource of daily sales tasks.
Lead Generation
Sales teams use Google Maps to build targeted lists such as “coffee shops in Seattle” or “HVAC companies in Denver.” This approach allows them to pull relevant businesses without hours of manual searching. Prospecting becomes faster and more focused.
Market and Competitor Review
Teams can study maps to see where competitors cluster. Crowded areas may require stronger outreach, while underserved regions can reveal new opportunities. This helps them decide where to focus time and effort.
Personalized Outreach
Reviews often highlight customer pain points and strengths. Sales reps use these insights to craft messages that feel relevant to each business. A tailored approach increases the chance of a positive response.
Field Sales Planning
Field reps rely on maps to plan travel schedules and divide territories fairly. Balanced routes reduce travel time and support more productive visits throughout the day.
How to Find Leads with Google Maps
Finding leads with Google Maps follows a simple process. Many people search for nearby services with clear intent to buy or contact a business. Sales teams use this behavior to build relevant prospect lists.
The steps below reflect the common workflows and help turn a basic search into a usable relevant prospect lists.
Step 1: Run a Local Search
Start by entering a category and location into Google Maps.
Google Maps search results for plumbers in Dallas
Examples:
- plumbers in Dallas
- coffee shops in Chicago
- dentists in Miami
This gives you a list of businesses that match your target area.
Step 2: Gather Business Details
Open the listings and copy the details you need, or use a scraper to export the information in one move. This often includes names, addresses, websites, and phone numbers.
Google Maps Data of a plumbing service contractor in Dallas
Step 3: Enrich the List
Visit business websites to find contact information that does not appear on Maps. Add emails when possible, along with any other relevant details that support outreach.
Step 4: Add Leads to CRM
Organize the information in your CRM. Assign lead ownership and set follow-up tasks. This helps keep outreach structured and consistent.
Importing leads data to CRM
Best Google Maps Scraping Tools for Sales Teams
Sales teams work with a range of scraping tools to collect business data from Google Maps. each option offers a different workflow style, from point-and-click scrapers to API-based extraction. These tools help teams gather public business details that support lead generation and local sales planning.
Outscraper
Outscraper is a practical for teams that want a simple interface and ready Excel, CSV, and JSON format export. It has enrichment features such as Contacts & Lead Enrichment, Email Address Verifier, and Company Insights for Cold Email Outreach. You also avail of Phone Number enricher, Phone identity finder, and company insights for effective cold calling initiatives.
Other popular enrichments include Similar Web Scraper, Chain Info, BuiltWith Scraper, Fastbackgroundcheck Scraper, Google Maps Reviews Sentiments Analysis, Google Maps Reviews Summary, Trustpilot Scraper, Trustpilot Sentiment Analysis, Trustpilot Reviews Summary, Whitepages Addresses Scraper, Disposable Email Checker, Geocoding, ZoomInfo Domains, Domain Information, Professional Networking site’s companies and post scrapers.
It is a no-code scraping tool with API and various Automation Integrations. Many teams use Outscraper to build repeatable lead lists that can be reviewed or imported into a CRM or any integration tools.
Pros:
- Easy to use for non-technical users and teams.
- Supports large searches
- API integrations and automations.
- Clear CSV exports for CRM upload
Cons:
- Limited customization
Apify
Apify provides ready-made scrapers that can run at set intervals or be customized to specific tasks. Teams choose it when they want flexible workflows or scheduled extractions. Its automation options make it suitable for larger or ongoing research projects.
Pros:
- Provides multiple actors or scrapers.
- Suitable for recurring or automated searches.
- Works well for custom process
Cons:
- Costly pricing per runs (G2)
Octoparse
Octoparse offers a visual scraper that lets users click on elements to collect data. It works well for teams that want more control without writing code.
Pros:
- Visual interface for selecting data.
- Works for larger batches with cloud mode.
- No coding required
Cons:
- Steep learning curve and users experience slow performance. (G2)
ScraperAPI
ScraperAPI is used by teams that prefer API requests for scraping tasks. It provides the HTML of target pages and handles routing, proxies, and loading.
Pros:
- Suitable for large-scale setups.
- Gives full control to technical teams.
- Integrate with custom scripts easily.
Cons:
- Some users find the rate-limiting frustrating. (G2)
Other Options
Instant Data Scraper
Browser tools such as Instant Data Scraper provide a quick way to gather visible information from Google Maps pages. They support small searches and simple tasks.
Pros:
- Easy to start and requires no setup.
- Useful for small tasks or one-off lists.
- Works directly from the page you are viewing.
Cons:
- Lower reliability for large searches.
- Limited customization
Open Source Tools
Open source scripts offer even more control, although they require setup, testing, and ongoing maintenance.
Pros:
- Offers flexibility.
- Can be adapted to specific workflows
Cons:
- Requires technical effort.
- Needs monitoring to stay functional.
Try Outscraper for free with a monthly renewable Free Tier.
Building Sales Routes with Google Maps
Google Maps plays a direct role in field sales planning. Many users search for guidance on “how to make sales route on Google Maps, and the workflow aligns closely with what sales teams do every day. Reps use Maps to organize visits, reduce wasted travel, and manage routes that match their daily goals.
Mapping routes helps teams plan their day around real locations instead of guessing where to go next. A clear route supports better scheduling and ensures each stop fits naturally into the overall travel plan.
Creating a Route
Sales reps start by plotting the businesses they want to visit. These locations often come from scraped Maps lists or CRM leads. Once the points are added, they begin grouping stops by area. This keeps the route structured and avoids sudden shifts across town.
The goal is to create a path that follows a clear pattern. Reps use nearby streets or neighborhoods to create small clusters, which makes each segment easier to manage during the day.
Improving Travel Time
Field teams aim to reduce backtracking because it adds unnecessary travel and cuts into productive hours. With grouped stops and clear routes, reps can stay within one area before moving to the next.
Less travel means more time for face-to-face conversations. This supports stronger relationships and helps teams stay consistent with their daily visit targets.
When Google Maps Scraping Works Best (and When It Doesn't)
Google Maps scraping can be a more powerful source of local business data, but it does not perform the same way in every situation. Some industries show consistent, well-maintained listings that make scraping useful for lead generation and territory planning. Others have gaps, missing details, or outdated information that require extra verification.
Here’s where Google Maps scraping delivers strong results and where it has limitations to consider. This will help sales teams understand how to use the data effectively and what to watch out for during research.
Best Use Cases
Google Maps scraping is most effective when targeting businesses that rely on foot traffic or operate within defined service areas. These listings often include consistent public data such as addresses, categories, reviews, and operating hours. Sales teams get the most value when the businesses they target maintain clear and complete profiles.
Local Businesses with Clear Listings
Sales teams get strong results when the businesses they target keep accurate details on Google Maps. This includes stores, clinics, gyms, and other locations that rely on local customers. These listings often show complete information, which helps teams build a reliable contact list.
Service Providers’ Defined Areas
Service-based companies such as plumbers, HVAC contractors, electricians, and cleaners often appear in category searches. They serve defined areas, which makes their listings useful for targeting specific neighborhoods or cities.
Retail Locations
Retail businesses depend heavily on location-based visibility. Their Maps listings usually include accurate opening hours, photos, and reviews. This helps sales teams segment by size, number of branches, and review quality.
Hospitality Industry’s Updated Listing
Hotels, restaurants, and cafes maintain some of the most detailed listings on Google Maps. These businesses update their profiles often because customers rely on reviews and photos. For sales teams, this creates consistent data that supports outreach and territory planning.
Limitations to Consider
Google Maps scraping supports many sales workflows, but it has limits. Some listings lack complete details, while others update slowly. Sales teams need to recognize these gaps so they can verify key information before outreach. Understanding these shortcomings helps avoid missteps and improves data quality.
Outdated or Missing Listings
Some businesses do not update their profiles often. Changes in operating hours, relocations, or closures may not appear right away. This creates gaps that affect lead quality and requires teams to double-check important details.
Businesses Without Websites
Many small businesses list only their name, category, and address. Without a website, it becomes harder to find emails or decision-maker information. Teams often need enrichment tools or direct research to complete these profiles. If you want an easier way to scrape businesses without websites, we have guide for you.
Poor Category Labeling
Some listings fall under the wrong industry or include broad categories that do not match the actual service. This makes filtering less reliable. Sales teams often adjust by reviewing listings manually or cross-checking results to improve accuracy.
Try Outscraper for free with a monthly renewable Free Tier.
Practical Tips for Sales Team
Sales teams get stronger results when they treat Google Maps data as a living resource rather than a one-time list. Clear routines help keep information accurate and support consistent outreach. The steps below make daily prospecting more reliable and easier to manage.
Keep Lists Updated
Maps listings change often. New businesses open, others close, and operating hours shift. Sales teams should refresh their lists on a regular schedule so they always work with current information.
Verify Contact Details Before Outreach
Scraped data provides a strong starting point, but details such as emails and phone numbers should be confirmed before outreach. This reduces bounced messages and avoids wasted calls.
Combine Scraped Data with CRM History
Maps data helps identify new leads, but past conversations and notes inside the CRM provide the full context. Combining both sources helps reps prioritize accounts and avoid repeating previous outreach.
Track Response Results
Teams improve faster when they review how prospects respond. Tracking replies, calls, and conversions helps refine targeting and identify the types of businesses that are most likely to engage.
Conclusion
Google Maps has become one of the most useful sources of real-world business information for modern sales teams. With so many buyers searching locally and visiting locations after a search, Maps offers a clear view of active businesses, service areas, and customer activity. Scraping tools turn this public information into organized lists that support lead generation, market research, and field planning.
Sales teams benefit most when they treat Maps data as part of an ongoing process. Lists need updates, details need verification, and enrichment tools often fill the gaps that Maps cannot provide. When combined with CRM insights and careful tracking, this data helps teams focus on the right businesses and build stronger outreach routines.
Google Maps scraping is strongest when used to guide real sales work. It helps teams understand local markets, plan smarter routes, and connect with businesses that fit their goals. With clear steps and the right tools, Maps becomes a practical foundation for building new opportunities and improving daily sales performance.
There’s always a better way to scrape Google Maps data if you’re willing to speed up the process and considered the precious time you could save. The idea is simple, just use Outscraper for your scraping task, and you’re good to go.
FAQ
Most frequent questions and answers
Google Maps scraping is the process of collecting publicly available business information from Google Maps and organizing it into a usable list for lead generation, email outreach or research.
Scraping public data is generally allowed when tools collect only the information visible to any user, but sale teams should always review platform terms and follow responsible data practices.
They can collect names, categories, addresses, coordinates, phone numbers, websites, operating hours, ratings, reviews, and social links.
Maps shows active local businesses and real search intent, making it easier to build targeted lists and focus outreach on high-fit prospects.
Most listings do not display emails, so sales teams often use enrichment tools or visit business websites to find complete contact details.
