Best Google Maps Scrapers in 2026: 7 Tools for Local Lead Generation

Best Google Maps Scrapers: 7 Tools for Local Lead Generation, Spona blog cover
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Publish date: Oct 5, 2026

You can pull thousands of local businesses from Google Maps for as little as $1.50 per 1,000 places. That's why Google Maps scrapers are so popular with teams selling to restaurants, clinics, retailers and trades. But a scraped listing isn't a lead. It rarely includes a decision-maker, a verified email or any sign that the business fits your offer, and Google's terms limit what you can do with its data.

This guide compares the 7 best Google Maps scrapers and alternatives in 2026, with current pricing, what each one actually returns and how to turn raw listings into leads your team can contact. We checked every price on the vendors' own pages in October 2026.

What a Google Maps scraper gives you, and what it doesn't

A Google Maps scraper runs a search, such as "dentists in Chicago", and collects the details shown on each listing. Most tools return the same core fields:

  • Business name, category and address
  • Phone number and website
  • Opening hours, rating and number of reviews
  • Coordinates and a link to the listing
  • Optionally, review text and photos

That's useful for mapping a market, but it falls short of what sales needs. Listings don't tell you who owns or manages the business, they rarely include a personal email, and they say nothing about size, revenue or whether the business is a single location or part of a chain. Closed businesses, duplicates and outdated phone numbers are also common, because listings are only as current as the last update.

Comparison of a raw Google Maps listing with a sales-ready lead that includes a verified decision-maker contact and fit score
Raw Google Maps listing vs. sales-ready lead. Source: SPONA

The practical takeaway: a scraper is the first step of local lead generation, not the whole process. You'll still need to clean, enrich and verify the data before outreach, or use a tool that does those steps for you.

Maps also misses part of the market: BrightLocal's 2026 Local Consumer Review Survey reports that just 35% of small and mid-sized businesses have a Google Business Profile. With more than 36 million small businesses in the US, according to the SBA Office of Advocacy, that gap is large.

Google Maps scrapers at a glance

ToolBest forStarting priceWhat you get
SponaSales-ready local leadsFree plan; pay-as-you-go per leadVerified, scored leads with contact details
OutscraperCheap listing exports500 free/mo, then $3 per 1,000Listings, optional contact scraping
Apify Google Maps ScraperScale and automationFrom $1.50 per 1,000 placesListings, reviews and paid add-ons
Scrap.ioRegional lists on a fixed budgetFrom $35/mo (yearly)Listings, 10,000 exports a month
OctoparseVisual scraping of many sitesFree; from $69/mo (yearly)Whatever you configure
Google Places APIApps using place data in Google servicesFree monthly caps, then per 1,000 requestsStructured place data (no export outside Google)
DIY Python scraperOne-off researchEngineering timeWhatever you build and maintain

The 7 best Google Maps scrapers and alternatives

1. Spona: best for sales-ready local leads without scraping

Spona isn't a scraper. It's an AI sales data platform with dedicated brick-and-mortar data that aims to cover every active local business, from retail and food service to trades, healthcare, tourism, leisure and industrial companies. Instead of configuring a search for every city and category, you describe the businesses you want in a chat, and Spona's AI finds, verifies and scores them.

Here's why it's a stronger choice than a scraper for most sales teams:

  • User experience. You describe the segment in plain language, like "family-owned bakeries in Bavaria" or "restaurants more than 10 years in business", and Spona scores leads against those criteria. There are no queries to split by area and no files to merge.
  • Time to value. Spona goes from chat to qualified leads in about four minutes, with no setup, contracts or sales call, and every search starts with free sample leads.
  • Precision. Spona provides verified contact details for every lead, updated in real time, and validates each lead across its digital footprint instead of copying a listing as-is. That means fewer closed businesses, dead numbers and duplicates.
  • Flexibility. You can combine local data with Spona's B2B data, pull companies from any list of websites, such as a franchise directory or trade fair page, and enrich your CRM with automatic whitelisting and blacklisting, so you don't pay twice for the same business.
  • Proven in retail. Zizr used Spona to find the right retailers and tripled its outbound demo bookings.

Pricing: free plan; pay-as-you-go plans billed monthly or yearly, with free samples and a per-lead price shown before you buy.

Where scrapers are still stronger: if you need review text, photos or bulk listing data for market research rather than outreach, a scraper like Outscraper or Apify is cheaper per record.

2. Outscraper: best pay-as-you-go Google Maps scraper

Outscraper is a no-code platform built around Google Maps. You enter categories and locations, and it returns listings in a spreadsheet, with optional add-ons that pull emails and social profiles from business websites.

Pricing: free for the first 500 businesses each month; then $3 per 1,000 records up to 100,000, and $1 per 1,000 above that. There's no monthly fee.

Best for: marketers and agencies that want cheap, simple listing exports.

Watch out for: the low price covers raw listings. Contact scraping costs extra, and you'll still need to verify the results.

3. Apify Google Maps Scraper: best for scale and automation

Apify's Google Maps Scraper is one of the most popular tools on the Apify platform, with more than 600,000 users. It extracts listing details, reviews and images, and you can run it through an API, schedule runs and connect results to other tools.

Pricing: from $1.50 per 1,000 scraped places, with extra charges for add-ons like contact enrichment, detailed place data and reviews.

Best for: technical teams and agencies that scrape at volume or build automated pipelines.

Watch out for: costs depend on which add-ons you switch on, and reviews are usually the biggest cost driver.

4. Scrap.io: best for country-wide local business extracts

Scrap.io focuses on Google Maps lead extraction, with searches by city, region or, on its top plan, a whole country, plus file enrichment and API access.

Pricing: Basic costs $35 a month billed yearly ($49 monthly) for 10,000 export credits; Professional costs $69, Agency $139 and Company $350 a month billed yearly. Country-wide search is only on the Company plan.

Best for: teams that need large regional lists on a fixed monthly budget.

Watch out for: lower plans limit how broadly you can search.

5. Octoparse: best visual scraper for many websites

Octoparse is a general web scraping tool with point-and-click setup and ready-made templates, including templates for Google Maps.

Pricing: free plan with 10 tasks and 50,000 rows of exports a month; Standard from $69 a month and Professional from $249 a month, billed yearly.

Best for: teams that scrape many different websites and want one visual tool.

Watch out for: scraping Google Maps with a general-purpose tool means handling blocks, limits and layout changes yourself. See our guide to the best web scraping tools for other options.

6. Google Places API: the official route

Google's Places API is the official way to access place data. It returns structured results and comes with free monthly usage caps, after which you pay per 1,000 requests. Text Search Enterprise, for example, costs $35 per 1,000 requests at the first paid tier.

Best for: developers building apps that display or use place data inside Google's services.

Watch out for: the Google Maps Platform terms include a "No Scraping" clause. API customers may not export, extract or store Google Maps content for use outside Google's services, which rules out building a standalone lead database from API results.

7. A DIY Python scraper: maximum control, maximum maintenance

Developers often build their own scrapers with browser automation libraries. This gives full control over what you collect and costs nothing in software fees.

Best for: one-off research projects with in-house engineering time.

Watch out for: Google changes its page layout often, blocks heavy automated traffic and limits how many results a single search shows, so DIY scrapers need proxies, constant fixes and careful handling of Google's terms. Our guide to automating web scraping explains what that maintenance involves.

What 10,000 local businesses really cost

Headline prices only cover raw listings. Here's what 10,000 records costs with each scraper at list prices, before cleaning, enrichment and verification:

ToolCost for 10,000 recordsWhat it covers
Outscraper~$28.50 (500 free + 9,500 at $3/1,000)Raw listings; contact scraping extra
ApifyFrom ~$15 (at $1.50/1,000)Raw listings; add-ons extra
Scrap.io$35 (Basic, one month, yearly billing)Up to 10,000 exports
OctoparseFrom $69 a month (yearly)Your own setup and maintenance
SponaPer-lead price shown with free samplesVerified, scored leads, not raw listings

Now add the rest of the work. For each business, someone has to find the right person, get a working email or direct number, remove closed or duplicate locations and check that the business fits your offer. Whether you pay for extra tools or for rep hours, that step usually costs far more than the scrape itself. That's the cost Spona removes, because you pay for verified, scored leads rather than raw listings.

This is one of the most common questions about Google Maps scraping, and the honest answer is that it depends on how you collect the data, what you do with it and where you operate. This isn't legal advice, but three points are clear:

  1. Google's API terms forbid scraping. If you use the Google Maps Platform, its terms state that you won't export, extract or otherwise scrape Google Maps content for use outside the services.
  2. Scraping the public website is a grey area. Courts in different countries treat scraping of publicly visible data differently, and Google actively limits automated access. Using a third-party tool doesn't transfer responsibility away from you.
  3. Privacy law still applies. Business listings can contain personal data, especially for sole traders and small owner-run businesses. In Europe, GDPR applies to that data, including how you store it and how you contact people.

If local businesses are a core market for you, it's worth getting legal advice and choosing a data source that verifies and maintains its data rather than scraping it yourself.

How to turn Google Maps data into leads

Whichever tool you use, the same four-step process turns listings into a list your reps can work.

Four steps to turn Google Maps data into leads: pull listings, clean, find decision-makers, verify and score
How to turn Google Maps data into leads. Source: SPONA
  1. Pull listings for your target categories and areas. Split big cities into smaller areas, because one search only shows a limited number of results.
  2. Clean the data. Remove closed businesses, duplicates and locations of chains you don't sell to, and standardize names, phone numbers and addresses.
  3. Find decision-makers. Identify owners or managers and add their emails or direct numbers. Our guide to local lead generation covers the best channels for this.
  4. Verify and score. Check every email and number, then rank businesses by fit, for example by rating, number of locations or years in business. Our guide to B2B data validation explains how.

Spona runs all four steps for you from one chat. If you'd rather build the process yourself, our step-by-step Google Maps lead generation guide walks through it.

Before emailing, check the rules: in the US, the FTC's CAN-SPAM compliance guide requires honest subject lines, a physical address and a working opt-out.

Which Google Maps data to filter on, by industry

The fields on a listing become much more useful once you filter on the ones that signal fit for your offer. A few examples:

  • Restaurants and cafés: rating, number of reviews, price level and opening hours tell you about size, positioning and traffic. A place with hundreds of reviews and late opening hours is a very different prospect from a small lunch spot.
  • Clinics and healthcare practices: category, number of locations and website quality help separate single practitioners from groups that buy software and services centrally.
  • Retailers: the number of locations with the same name shows whether you're dealing with an independent shop or a chain, which decides who you need to contact and how long the sale will take.
  • Trades and home services: review volume and recent review activity show which businesses are busy and growing, and which are winding down.
  • Hotels and tourism: rating and review count are strong proxies for size and budget.

Write these filters down before you pull any data. It keeps your list tight, lowers your cost and makes the next step, enrichment, much faster.

To check how big a category is before you scrape, the US Census Bureau's County Business Patterns shows how many establishments exist by industry and area.

How to personalize outreach with Google Maps data

Listing data is also one of the best sources of personalization for local businesses, because it shows how the business looks to its own customers. Use it carefully and specifically:

  • Ratings and reviews. If several recent reviews mention long waiting times, a booking or staffing product has a natural opening line. Quote the pattern, not an individual review.
  • Review responses. Businesses that reply to reviews care about reputation and usually respond faster to outreach that helps them grow.
  • Opening hours and services. Extended hours, delivery or online booking show where a business is investing.
  • Photos and updates. Recent photos, new menus or a new location are timely reasons to reach out.

The rule is simple: mention one real, relevant detail and connect it to a clear benefit. Generic compliments about a "great rating" read as automated and get ignored.

Reviews are worth the effort here, because the same BrightLocal survey found 97% of consumers read reviews for local businesses, so owners pay close attention to them.

Common mistakes when scraping Google Maps

Most failed local campaigns go wrong in the same places:

  1. Searching too broadly. "Restaurants in London" returns a list too large and too mixed to use. Narrow by category and area first.
  2. Ignoring chains and franchises. Emailing 40 locations of the same chain wastes time and annoys the head office that actually makes the decision.
  3. Sending to generic inboxes. Info@ addresses are read by front-desk staff, not owners. Find the decision-maker first.
  4. Skipping verification. Old listings mean bounced emails and wrong numbers, which hurt your sender reputation and waste rep time.
  5. Forgetting opt-outs. Keep a suppression list and honor opt-out requests, especially when contacting sole traders in Europe.

How to choose the right Google Maps scraper

Pick based on what you'll do with the data:

  • For outreach to local businesses, choose Spona, because you get verified, scored leads instead of raw listings.
  • For cheap listing exports, choose Outscraper, or Apify if you want automation and an API.
  • For large regional lists on a fixed budget, choose Scrap.io.
  • For scraping many different websites, choose Octoparse.
  • For apps that use place data inside Google's services, use the Places API.
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FAQ

What is the best Google Maps scraper?

For raw listings, Outscraper and Apify offer the best mix of price and reliability. For sales outreach, Spona is the stronger choice because it delivers verified, scored local leads rather than raw listing data.

Is there a free Google Maps scraper?

Yes. Outscraper gives you 500 businesses free each month, Octoparse has a free plan, Apify includes monthly free platform credits, and Spona has a free plan with free sample leads.

It depends on your method and jurisdiction. The Google Maps Platform terms forbid scraping API content for use outside Google's services, scraping the public site is a legal grey area, and privacy laws like GDPR apply to any personal data you collect.

Can you get emails from Google Maps?

Not directly. Listings usually show a phone number and website, not an email. Scrapers can visit the website to look for addresses, but these are often generic inboxes, so you'll need enrichment and verification to reach decision-makers.

Why does a Google Maps search stop at a limited number of results?

Google Maps only shows a limited number of results for each search, so scrapers split large areas into smaller ones and combine the results. This is one reason duplicates are common in scraped lists.

Does Google Maps allow scraping?

Google doesn't grant permission to scrape Maps. The Google Maps Platform terms forbid exporting or scraping Google Maps content for use outside Google's services, and Google limits automated access to its public site. Whether scraping public pages is legal depends on your jurisdiction and how you use the data.

Apify provides the tool, but responsibility for how it's used lies with you. Collecting publicly visible business data is treated differently across countries, privacy laws such as GDPR apply to any personal data you collect, and Google's terms restrict scraping. This isn't legal advice, so check your use case with a legal advisor.

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