Top 5 Google Maps Scraper Tools in 2026
Discover the best tools to extract business leads, reviews, and contact details from Google Maps automatically bypassing captchas.
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The best Google Maps scraper in 2026 is Apify’s Google Maps Scraper — it extracts business name, phone number, email address (via website crawling), ratings, opening hours, GPS coordinates, popular times, and review counts at unlimited scale, bypasses CAPTCHAs automatically through rotating residential proxies, supports polygon-based geographic targeting, and exports to JSON, CSV, or Excel with no code required. For teams doing B2B lead generation, local market research, or review monitoring, it is the tool that replaces every manual spreadsheet workflow.
Google Maps is the world’s most comprehensive local business directory, indexing more than 200 million places globally as of 2026. That data — phone numbers, emails, hours, ratings, categories — is enormously valuable for sales teams, researchers, and marketers. But Maps is built on a dynamic JavaScript interface with anti-scraping measures that defeat naive automation. This guide breaks down the five best tools available, what each actually extracts, what they cost, and which one to pick for each specific job.
What Data Can You Extract from Google Maps?
Before comparing tools, it helps to be concrete about what “Google Maps data” means in practice. The most useful fields for business purposes are:
- Business name — the canonical listing name as shown on Maps
- Phone number — local or toll-free, as entered by the business
- Email address — not stored natively on Maps; must be crawled from the business’s linked website
- Website URL — direct link to the business’s own domain
- Full address — street, city, state, postal code, country
- GPS coordinates — latitude and longitude for GIS work, territory mapping, and distance calculations
- Star rating — average rating out of 5.0
- Review count — total number of Google reviews
- Primary category — the business type label (e.g. “Italian restaurant”, “electrical contractor”)
- Opening hours — per-day schedule, including holiday overrides where available
- Popular times — hour-by-hour foot traffic estimates, useful for retail and hospitality analysis
- Photos count — number of uploaded images
- Google Maps URL — the direct deep-link to the listing for follow-up verification
Email extraction is worth calling out specifically. Google does not store email addresses as a Maps field. Scrapers that return emails do so by following the website URL in the listing and parsing contact information from that external page. This is a second HTTP request per business, which makes it slower and more expensive — but it is the field that makes Maps data actionable for outbound sales.
Not every tool in this guide extracts all of these fields. The comparison table in the next section documents exactly what each one covers.
Top Google Maps Scraping Tools Compared
| Feature | Apify Maps Scraper | Outscraper | Octoparse | Phantombuster | DIY/Custom |
|---|---|---|---|---|---|
| Phone number | Yes | Yes | Yes | Yes | Varies |
| Email (via website crawl) | Yes | Yes | No | No | Possible |
| GPS coordinates | Yes | Yes | Yes | No | Possible |
| Opening hours | Yes | Yes | Partial | No | Partial |
| Popular times | Yes | No | No | No | Rare |
| Review text & rating | Yes | Yes | Partial | No | Possible |
| Polygon / area search | Yes | No | No | No | Possible |
| Max scale | Unlimited | ~5,000/query | Unlimited (costly) | Time-limited | Unlimited |
| CAPTCHA handling | Automatic | Automatic | Partial | Manual cookies | Manual |
| Output formats | JSON, CSV, XLSX, XML, JSONL | CSV, XLSX | CSV, XLSX, MySQL | CSV | Varies |
| Scraper maintenance | Handled by Apify | Handled by Outscraper | Your responsibility | Your responsibility | Your responsibility |
| Free tier | Yes ($5 credit/month) | Yes (limited rows) | Yes (limited rows) | Yes (2 hrs/month) | Yes (but time-intensive) |
| Starting paid price | $49/month | ~$0.001/row | $75/month | $56/month | Dev time + infra |
The scalability and CAPTCHA columns are where the decisive gaps appear. When you need 50,000+ records across multiple cities or states, only Apify handles that in a single unattended run. Every other option requires workarounds, stitching together multiple jobs, or accepting that some records will fail on bot-detection blocks.
1. Apify Google Maps Scraper (Top Pick)
The Apify Google Maps Scraper is the most capable and most widely used Maps extraction tool available in 2026. It runs entirely in the cloud — no software to install — and is actively maintained by its developer in response to Google’s ongoing frontend changes.
What makes it the top pick:
Polygon search. Most scrapers accept a city name or bounding box and return whatever Google shows on the map. Apify’s actor accepts a custom polygon drawn on the map — a delivery zone, a sales territory, a trade area boundary. You get exactly the businesses inside your defined shape, with no manual filtering required after export.
Email extraction built in. Enable the “Scrape websites for email” option and the actor follows each business’s website URL, crawls the contact page, and returns email addresses alongside the core data. This single feature is what separates a raw Maps export from an actionable B2B lead list.
CAPTCHA bypass. Apify uses rotating residential proxies and browser fingerprinting to handle Google’s bot detection transparently. Users running hundreds of thousands of records in a single job report no CAPTCHA interruptions. You do not need to configure proxies, rotate user agents, or manage sessions.
Scale without per-query limits. Outscraper and Phantombuster both impose per-query or per-run limits that force large extractions to be broken into batches. Apify has no such limit — a single configured run can extract every plumber in the continental United States if that is what you need.
Output flexibility. Every run produces structured output available as JSON, CSV, Excel (XLSX), XML, or JSONL. There is also a direct API endpoint for live integration with CRMs, warehouses, or downstream processing pipelines.
Pricing on Apify’s free tier: $5 in monthly compute credits, enough for 500–1,000 listings per run with no credit card required. On the Starter plan ($49/month), a typical 10,000-listing extraction with email crawling costs roughly $2–$4 in credits, leaving the rest of the budget for additional jobs.
For a step-by-step technical walkthrough covering input configuration, proxy settings, and output parsing, see the how to scrape Google Maps tutorial. For actor-specific documentation, visit the Google Maps Scraper page.
2. Apify Google Maps Reviews Scraper
The Google Maps Reviews Scraper is a specialized actor focused entirely on review data rather than business listing data. Where the main Maps Scraper returns one row per business, the Reviews Scraper returns one row per review — making it purpose-built for reputation monitoring and sentiment analysis at scale.
Fields extracted per review:
- Review text (full content, not truncated)
- Star rating (1–5)
- Reviewer display name
- Reviewer profile URL
- Review publication date
- Owner reply text and date (if the business has responded)
- Reviewer’s total review count (useful for filtering bot/spam accounts)
Primary use cases:
Reputation monitoring: Schedule the Reviews Scraper to run weekly across all your business locations and compare the output to the previous week’s dataset. New 1-star reviews surface automatically for immediate response. Review count trends identify locations gaining or losing momentum.
Competitive benchmarking: Scrape reviews for competing businesses and run sentiment analysis on the text. Recurring themes in negative reviews reveal where competitors are weak — information that is genuinely difficult to obtain any other way.
Sentiment analysis model training: Review data from Maps is some of the cleanest labeled text available for training classification models. Star ratings provide ground-truth sentiment labels without any manual annotation. Food delivery platforms, hospitality analytics startups, and academic researchers are common users.
Franchise quality monitoring: Multi-location brands use the Reviews Scraper to produce a weekly rankings table of locations by rating and review volume, surfacing outliers for management attention.
The Reviews Scraper and the main Maps Scraper are complementary — use the Maps Scraper for discovery and lead enrichment, then use the Reviews Scraper on the specific businesses you care about most for ongoing intelligence.
3. Apify Google Maps Email Extractor
The Google Maps Email Extractor solves a specific pipeline problem: you already have a list of Google Maps URLs or Place IDs — perhaps from a previous scrape, a purchased list, or a directory export — and you need email addresses filled in without re-running a full geographic extraction.
Where the main Maps Scraper crawls for emails as part of a broader extraction, the Email Extractor runs at higher concurrency on a pre-defined list of businesses, making the email-only enrichment step significantly faster when you do not need to re-discover businesses from scratch.
Workflow example:
- Run the Google Maps Scraper with a keyword and location to get 5,000 business listings including website URLs.
- Export to CSV and filter to only the businesses in your target revenue bracket or category.
- Feed the filtered 1,200 URLs into the Email Extractor to get email addresses for only those records.
- Import the enriched output into your CRM for outbound sequencing.
This three-step workflow is how most sales operations teams that use Apify structure their lead generation pipeline. See the lead generation use case for a detailed walkthrough with output examples.
4. Outscraper
Outscraper is the most polished dedicated alternative to Apify for Google Maps extraction. It is a web-based service (no desktop software) with a clean UI, solid documentation, and data quality that matches Apify on standard fields: phone number, address, rating, review count, and category.
Where Outscraper performs well:
- Small to medium one-off extractions (under 5,000 records per query)
- Teams that want a credit-based pay-per-row model with no monthly commitment
- Basic email extraction from business websites
- Simultaneous Google, Yelp, and other local directory scraping in one interface
Where it falls behind Apify:
- No polygon search — you are limited to keywords and city/region inputs
- Popular times data is not extracted
- The per-query result limit of approximately 5,000 businesses means large metro extractions require multiple API calls and result-stitching
- Pricing at scale (beyond ~20,000 rows per month) becomes more expensive per record than Apify’s compute-unit model
- No scheduled recurring runs on the basic tier
Outscraper is a perfectly reasonable choice for a marketing consultant doing a one-time extraction for a client in a single city. It is not the right tool for a sales team running weekly prospecting sweeps across multiple states.
5. Octoparse and DIY Options
Octoparse’s visual scraper is genuinely good at what it was designed for — extracting data from structured, relatively stable websites by pointing and clicking on elements. Google Maps is not that kind of website.
Google Maps renders results dynamically via JavaScript, uses infinite scroll, changes its DOM structure after product updates, and has rate-limiting logic that triggers on predictable interaction patterns. These properties make it resistant to visual scraper approaches that rely on stable CSS selectors or XPath expressions.
In practice, Octoparse templates for Google Maps require maintenance every time Google updates its frontend — which happens several times per year. For a one-time small extraction, an Octoparse template can work. For any scheduled or automated workflow that needs to keep running reliably, the maintenance burden is prohibitive.
DIY custom scrapers using Playwright or Puppeteer face the same underlying challenge: Google’s bot detection is sophisticated, residential proxy management adds cost and complexity, and every frontend change breaks your selectors. Teams that go this route typically spend more engineering time maintaining the scraper than they would have spent on a paid tool. The exception is when you have very specific custom logic (custom polygon shapes based on internal CRM data, proprietary enrichment steps, etc.) that no existing tool supports — in which case Apify’s custom Actor development path is worth considering before building from scratch.
Google Maps Lead Generation in Practice
The practical lead generation workflow using Apify’s stack looks like this:
Step 1 — Configure the search. Open the Google Maps Scraper on Apify and set your inputs: search keyword (e.g. “commercial HVAC contractor”), location (city, state, or drawn polygon), maximum results, and enable the “Scrape websites for email” option.
Step 2 — Run and extract. Start the actor and wait for it to complete — typically 10–30 minutes for 5,000 listings depending on email crawl depth. Apify’s cloud handles CAPTCHA bypass, proxy rotation, and pagination automatically.
Step 3 — Review and filter. Download the output as an Excel file. Filter by minimum star rating, review count threshold, or specific category if you want to prioritize higher-quality prospects. Drop businesses without email addresses if email is required for your outreach sequence.
Step 4 — Export to CRM. Import the filtered CSV into your CRM (HubSpot, Salesforce, Pipedrive, or equivalent). Most CRMs accept a CSV with column headers that match standard contact fields. Map business name → Company, phone → Phone, email → Email, address → Company Address.
Step 5 — Enrich and verify (optional). If email deliverability is critical, run the extracted emails through a verification service (ZeroBounce, NeverBounce, or similar) before uploading to your sending platform to protect your sender reputation.
This end-to-end workflow — from geographic keyword search to CRM-ready lead list — takes less than an hour of active work for a batch of several thousand businesses. The same process that would take weeks of manual research, with 100% coverage of the search results rather than whatever a salesperson manually spotted.
Verdict
Apify Google Maps Scraper is the best tool for Google Maps extraction in 2026 across almost every use case. It extracts the most complete dataset (phone, email, hours, popular times, GPS coordinates), handles CAPTCHAs and proxy rotation transparently, supports polygon-based geographic targeting, and scales without per-query limits. The $5 free tier is enough to run a real test extraction before committing.
Apify Google Maps Reviews Scraper is the right companion tool when your goal is reputation monitoring, competitive benchmarking, or building a sentiment analysis dataset rather than lead generation.
Apify Google Maps Email Extractor is the efficient path for enriching an existing list of business URLs with email addresses, without re-running a full geographic discovery pass.
Outscraper is a reasonable choice for small one-off extractions where you prefer a per-row credit model and do not need polygon search or popular times data.
Octoparse and DIY solutions are best avoided for Google Maps specifically, given the maintenance overhead against Google’s changing frontend and the absence of built-in CAPTCHA handling at scale.
Browse the full comparison at the lead generation use case page to see how this workflow fits into broader data acquisition strategies.
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ParseFlow
Automation Expert & Technical Founder
Specializing in web scraping, browser automation, and data harvesting solutions. Helping businesses scale with automated insights.
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