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GuidesOctober 30, 2026 · 15 min read

Best Google Maps scraping and lead generation tools in 2026

Compare 9 Google Maps scraping and lead generation tools in 2026, including APIs, no-code scrapers, contact enrichment, and pricing.

Best Google Maps scraping and lead generation tools in 2026

Google Maps is a useful starting point for finding local businesses. A search for dentists, restaurants, real estate agencies, or construction companies can reveal business names, addresses, phone numbers, websites, ratings, and other details.

The difficulty comes when you need that information for hundreds or thousands of businesses. Manually copying listings into a spreadsheet takes time, and the information available on Google Maps isn't always enough to build a usable lead list.

Google Maps scraping and lead generation tools help automate this process. Some extract business listings, others visit company websites to find contact details, and some support recurring searches or local SEO tracking.

This guide compares nine tools for collecting Google Maps data in 2026, including dedicated scraping APIs, no-code platforms, and Google's official Places API. We'll look at what each does, how pricing works, and which use cases it suits.

What should you look for in a Google Maps scraping tool?

Before choosing a tool, decide what you want to do with the extracted information.

If you're researching local competitors, business names, locations, categories, and ratings might be enough. For sales prospecting, you'll probably also want websites, phone numbers, and email addresses.

Those email addresses usually aren't displayed directly on Google Maps. Tools offering email enrichment often visit the business's own website and look for publicly available contact information.

There are a few things worth comparing:

  • Business discovery: Can you search by category, keyword, city, neighborhood, or multiple locations?
  • Data coverage: Does it return addresses, websites, phone numbers, ratings, review counts, and business categories?
  • Contact enrichment: Can it retrieve emails and social profiles from business websites?
  • Automation: Can you schedule searches, process multiple locations, or retrieve data through an API?
  • Output: Can you export CSV or JSON, or feed the results directly into another application?
  • Pricing: Are you paying per business, search request, page, execution hour, or subscription?

These differences matter because a cheap API call isn't necessarily a cheap qualified lead. A tool might return 1,000 businesses, but only a portion may have websites, usable contact information, or a reason to buy what you're selling.

Quick comparison: 9 Google Maps scraping and lead generation tools

ToolBest forStarting price
SpidraBusiness discovery, contact enrichment, and recurring data collectionFree credits; $19/month
OutscraperBulk Google Maps business listsFirst 500 businesses free; then $3/1,000
ApifyConfigurable scraping and automationFree platform credits; Actor usage from $1.50/1,000 places
Bright DataLarge-scale business data collection5,000 free records/month; then $1.50/1,000
PhantomBusterNo-code prospecting workflowsFree trial; paid from $56/month, billed annually
DataForSEOLocal SEO research and Maps rankingsFrom $0.0006 per SERP
SerpApiStructured Google Maps search resultsFree tier; $25/month
OctoparseVisual, no-code data extractionFree plan; paid from $69/month, billed annually
Google Places APIOfficial place lookup and application featuresMonthly free usage caps; usage-based billing

Prices reflect publicly listed entry rates as of October 30, 2026. They aren't directly comparable: some providers charge by business record, others by request, and some have additional charges for contact enrichment or optional features.

1. Spidra

spidra.jpg

Spidra is a web data API for searching, scraping, crawling, and extracting structured information from websites. It includes a ready-made Google Maps Leads template for finding businesses by category and location.

google-map-lead-details.jpg

Instead of configuring a scraper from scratch, you enter a business type, select one or more areas, and choose how many search pages to collect. Spidra returns structured business records that can include names, phone numbers, websites, addresses, categories, ratings, and review counts.

google-map-result.jpg

For lead generation, as seen in the image above, you can also enable contact enrichment. Spidra then visits publicly accessible pages on business websites to look for email addresses and social profiles.

data-google-maps-leads.jpg

The workflow extends beyond a one-time export. You can save a search as a preset, run it again with the same inputs, or create a monitor to detect new or changed results and send notifications.

Key features

  • Google Maps business discovery across multiple locations.
  • Optional email and social profile enrichment from business websites.
  • Structured results available in table, CSV, and JSON formats.
  • Ready-made templates accessible through the dashboard, API, SDKs, and MCP server.
  • Presets for repeating searches and monitors for detecting changes.
  • Additional tools for web search, crawling, document parsing, and structured extraction.

Example: Find businesses with Spidra

Install the Node.js SDK:

npm install spidra

After setting your SPIDRA_API_KEY environment variable, you can run the Google Maps Leads template:

import { SpidraClient } from "spidra";

const spidra = new SpidraClient({
  apiKey: process.env.SPIDRA_API_KEY
});

const run = await spidra.runTemplate("google-maps-leads", {
  inputs: {
    query: "dentist",
    areas: ["Ikeja, Lagos"]
  }
});

console.log(run.status, run.rowCount, run.creditsUsed);

A completed run of this example returned:

completed 20 1

That represents 20 business records retrieved using one credit, without optional website contact enrichment.

The full records are available in run.rows. See the Google Maps lead generation walkthrough for the dashboard workflow, exports, and recurring searches.

Pricing

Spidra starts with 300 free credits, with no credit card required. Paid plans start at $19/month for 5,000 credits.

The Google Maps Leads template typically costs one credit per search page, returning up to 20 places. Website contact enrichment adds usage because the tool visits additional pages.

Failed jobs aren't charged.

Where Spidra fits

Spidra is worth considering when Google Maps research is part of a broader data collection workflow. For example, a marketing agency could discover businesses across several cities, collect available website contact details, and schedule recurring checks for new listings.

google-map-monitor.jpg

A dedicated pay-per-record scraper may be more economical for a one-time export of a very large business list. Spidra's advantage is combining discovery, extraction, and repeatable workflows with other web data tools.

2. Outscraper

Outscraper specializes in collecting business information from Google Maps and other public sources. Its Google Maps Scraper is designed for users who need large collections of local business records without building their own scraping infrastructure.

You can search by business type and location, apply filters, and export the results in formats including CSV, Excel, JSON, and Parquet.

Outscraper also offers separate enrichment services for finding email addresses, phone numbers, and social media profiles associated with business websites.

Key features

  • Google Maps business extraction by keyword and geography.
  • Business contact information, categories, ratings, and other listing attributes.
  • Bulk exports in CSV, Excel, JSON, and Parquet.
  • Separate email and contact enrichment services.
  • API access for automated data collection.

Pricing

Outscraper uses pay-as-you-go pricing rather than requiring a monthly subscription.

Its published Google Maps pricing includes the first 500 businesses free in a billing period, followed by $3 per 1,000 records from 501 to 100,000 businesses. The rate falls to $1 per 1,000 records beyond 100,000 businesses.

Email and contact enrichment can incur separate charges.

Where Outscraper fits

Outscraper is a strong choice for agencies and researchers that primarily need bulk business lists.

Its per-record pricing also makes it relatively straightforward to estimate the collection cost before starting. Just remember to account for additional enrichment if email addresses are part of your requirements.

3. Apify

Apify is a cloud platform for running web scrapers and automation programs called Actors.

For Google Maps, one of its established options is the Google Maps Scraper by Compass. It collects business information from Google Maps and supports configurable searches, location targeting, and optional additional data collection.

Apify is more flexible than a single-purpose scraping service because users can run Actors through the dashboard or API, schedule executions, and use the results in larger automation workflows.

Key features

  • Google Maps extraction by search term, location, or business URL.
  • Business details such as name, address, phone number, website, ratings, and opening hours.
  • Optional enrichment for contacts, reviews, images, and other data.
  • Scheduled executions and programmatic access.
  • Exportable datasets for further processing.

Pricing

Apify offers a free platform plan with $5 in monthly usage credits. Its Starter plan costs $19/month plus usage.

The Compass Google Maps Scraper advertises pricing from $1.50 per 1,000 scraped places, but the final cost depends on the Actor's pricing tier and enabled features.

Additional contact enrichment and detail collection may increase the total.

Where Apify fits

Apify is particularly useful for technical teams that want control over scraping workflows or need to combine Google Maps collection with other tasks.

It also offers a wide selection of specialized Actors, although the quality, maintenance, and pricing of community-built Actors can vary.

For a simple one-time lead export, its platform model may introduce more configuration than a dedicated service like Outscraper.

4. Bright Data

Bright Data offers Google Maps scraping through its Scraper APIs and pre-collected datasets.

Its Google Maps Scraper API retrieves structured business information, including names, categories, addresses, websites, phone numbers, coordinates, ratings, opening hours, and review counts.

Bright Data also provides infrastructure for collecting data at scale, including request handling, proxies, and automated delivery.

Key features

  • Structured Google Maps business data.
  • Collection by location or known place identifiers.
  • APIs for automated extraction.
  • Pre-collected Google Maps datasets for larger research requirements.
  • Usage-based pricing for successful results.
  • Bulk data collection and delivery options.

Pricing

Bright Data currently advertises 5,000 free Google Maps scraper records per month, with pay-as-you-go pricing starting at $1.50 per 1,000 successful records.

It also offers higher-volume plans and pre-collected datasets, which have separate pricing.

Where Bright Data fits

Bright Data is a strong option for companies building large business datasets, market intelligence products, or recurring data pipelines.

Its data infrastructure and dataset purchasing options become particularly relevant when collection volumes grow.

For smaller teams that only want to discover local businesses and download a spreadsheet, the wider platform may offer more infrastructure than they need.

5. PhantomBuster

PhantomBuster focuses on automating prospecting and data collection tasks without requiring developers to write code.

Its Google Maps Search Export automation accepts Google Maps searches and extracts business listing details into a spreadsheet.

Users can provide a single search or several Google Maps search URLs. PhantomBuster can then collect the results, remove duplicates between searches, and export the data.

For additional contact information, its website data collection automation can visit business websites to retrieve publicly available email addresses and social profiles.

Key features

  • No-code Google Maps search extraction.
  • Support for multiple searches.
  • Spreadsheet and CSV exports.
  • Duplicate removal between searches.
  • Additional automations for website contact extraction.
  • Cloud execution and recurring workflow options.

Pricing

PhantomBuster offers a trial with limited exports. Its Start plan is advertised from $56/month when billed annually, with higher plans offering more execution time, automation slots, and email credits.

Where PhantomBuster fits

PhantomBuster suits sales teams that prefer configuring cloud automations over working directly with APIs.

It can be particularly useful when prospecting involves multiple data collection steps.

However, execution-time allowances and subscription pricing matter. Teams collecting large datasets should calculate how much execution time the workflow requires rather than comparing subscription prices alone.

6. DataForSEO

DataForSEO takes a slightly different approach to Google Maps data.

Its Google Maps SERP API focuses on retrieving search results and local rankings in a structured format. That makes it useful for understanding which businesses appear for particular search terms and locations.

For example, a local SEO application could check which dental clinics appear when users search for dentists in a particular city, then compare those results across different locations.

Key features

  • Google Maps search results as structured data.
  • Local ranking positions and business information.
  • Geographic targeting by location and coordinates.
  • Asynchronous and live request options.
  • API access for integrating results into SEO and reporting applications.

Pricing

DataForSEO uses pay-as-you-go pricing based on search result requests.

Its Google Maps SERP API starts at $0.0006 per SERP page using Standard Queue. Priority Queue starts at $0.0012, while Live Mode starts at $0.002 per SERP.

These are request-based prices rather than prices per qualified business lead.

Where DataForSEO fits

DataForSEO is particularly suitable for developers building local SEO software, Google Maps rank trackers, or location-based competitive analysis tools.

It can also provide business discovery data, but its focus is search results and rankings rather than managing an end-to-end sales prospecting workflow.

If your main goal is to find verified contact details for thousands of businesses, you'll likely need additional processing or enrichment.

7. SerpApi

SerpApi provides APIs for retrieving structured results from search engines, including Google Maps.

Its Google Maps API supports local search results, place details, and related search data. Returned fields can include business names, addresses, ratings, reviews, phone numbers, opening hours, and geographic coordinates, depending on the result.

You can use the API to build applications that need Google Maps information without developing and maintaining the extraction logic yourself.

Key features

  • Google Maps search results as structured JSON.
  • Local business listings and place details.
  • Location targeting and pagination.
  • APIs for reviews and other Google Maps data.
  • Integration into custom applications and data pipelines.

Pricing

SerpApi has a free plan with 250 searches per month.

Paid plans start at $25/month for 1,000 searches, with higher plans increasing the available search volume and throughput.

Where SerpApi fits

SerpApi makes sense for developers who need Google Maps data as part of a custom application, particularly when they also use other search engine APIs.

Its billing model is easy to understand for applications that make a predictable number of searches.

Like DataForSEO, it is primarily a search data provider rather than a complete outbound sales platform. Collecting and validating email contacts remains a separate task.

8. Octoparse

Octoparse is a no-code web scraping platform with visual workflow configuration and ready-made templates.

It includes Google Maps templates for collecting business listings and details. Some templates can also collect publicly available contact information from the websites associated with those listings.

Unlike API-first tools, Octoparse lets users build or adjust scraping workflows visually. This makes it appealing to researchers and marketing teams that want more control over the extraction process without writing Python or JavaScript.

Key features

  • Visual scraping workflow builder.
  • Google Maps listing and contact extraction templates.
  • Data export to CSV, Excel, JSON, and other formats.
  • Cloud execution and scheduling on supported plans.
  • Customizable extraction workflows.

Pricing

Octoparse offers a free plan with up to 10 tasks and local extraction.

Paid plans begin at $69/month for Standard when billed annually. Access to cloud execution, scheduling, and higher processing limits depends on the plan.

Individual templates may also have usage requirements.

Where Octoparse fits

Octoparse is useful when a non-technical team wants to customize exactly what gets collected or build a repeatable extraction process through a visual interface.

A ready-made Google Maps template can reduce setup time, but a custom workflow may still need maintenance when website layouts change.

9. Google Places API

Google Places API is Google's official developer interface for retrieving place information.

It offers Text Search, Nearby Search, and Place Details capabilities that developers can use to find businesses and build location-aware applications.

For example, an application can search for nearby restaurants, retrieve business names and addresses, and display them to users.

However, the Places API has a different purpose from third-party scraping and lead generation tools.

Key features

  • Official place search and details endpoints.
  • Search by location, category, or text query.
  • Place identifiers, addresses, business names, websites, and other available attributes.
  • Field masks to control returned data and associated billing.
  • Integration with Google Maps Platform services.

Pricing

Google uses usage-based pricing with monthly free usage caps.

For example, Places API Text Search Pro currently includes 5,000 free requests per month, followed by $32 per 1,000 requests in the first paid usage tier.

Costs change depending on the endpoint and the fields requested.

Where Google Places API fits

Google Places is appropriate for applications that need official place lookup functionality, map-related experiences, and supported place details.

It is not a general-purpose bulk lead-list export service. Google's licensing terms restrict bulk downloading, storage, redistribution, and certain uses of Maps content. Developers should review those requirements carefully before using the API for prospecting or building persistent business databases.

How to choose the right Google Maps scraping tool

The best choice depends on what you need after the search finishes.

If you need a one-time spreadsheet containing thousands of businesses, a dedicated pay-per-record provider such as Outscraper may be the simplest option. Bright Data is another option when you need larger collection volumes or datasets.

If you're building a custom application, Apify, SerpApi, and DataForSEO offer different levels of control. Apify is especially useful for configurable extraction, while SerpApi and DataForSEO are better suited to search data and local SEO workflows.

For no-code prospecting, PhantomBuster and Octoparse provide visual approaches to extracting and exporting business information.

Spidra fits when you want to combine business discovery with enrichment and ongoing data collection. Our Google Maps Leads template provides a ready-made starting point, while presets and monitors support recurring research.

Google Places API remains the appropriate option when you need official place information for a Google Maps application and your intended use complies with its licensing terms.

Turning business records into usable leads

Regardless of the tool, exporting a list is only the first step. A business listing may have a name, address, and rating but no website or email address. Even when an email is available, it may be a general contact address rather than the person responsible for making a purchasing decision.

Before using an extracted list for outreach, check whether the businesses actually match your target customer profile.

A useful lead generation workflow typically involves collecting business records, removing duplicates, enriching available contact information, and reviewing the results before importing them into a CRM.

For example, if you're selling appointment-booking software to dental practices, you might prioritize clinics with active websites, a suitable location, and identifiable contact channels. You would still need to establish whether they have a genuine need for your product.

You should also check the applicable source terms, privacy requirements, and marketing laws. Google Maps' terms restrict bulk collection and certain downstream uses of its content, and publicly visible contact information does not automatically authorize unsolicited marketing.

Which tool should you use?

Google Maps scraping tools vary significantly in the type of work they handle.

Outscraper and Bright Data focus on collecting business data at scale. Apify provides configurable extraction workflows. PhantomBuster and Octoparse serve teams that prefer no-code automation. DataForSEO and SerpApi focus on structured search results, while Google's Places API provides official place information for supported applications.

Spidra combines Google Maps business discovery with optional contact enrichment, structured output, and recurring data collection. It's a practical choice when local business research is one part of a larger web data workflow.

If you want to try that approach, create a free Spidra account and run the Google Maps Leads template using a business category and location relevant to your project.

Frequently asked questions

Yes. Tools such as Spidra, Outscraper, PhantomBuster, Apify, and Octoparse offer interfaces for configuring Google Maps data collection without writing code. Their available features and export limits differ, so choose based on the records you need and the volume you plan to collect.

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