The web scraping market is on track for roughly $1.17 billion in 2026, heading toward $2.23 billion by 2031 โ about a 13.8% CAGR. Demand is real. Quality is not automatic. Plenty of teams still buy Google Maps lists full of closed storefronts, wrong phones, and blank email columns, then spend the weekend cleaning what should have been filtered before export.
This page is a practical ranking of ten Google Maps scrapers โ cloud platforms, browser extensions, open-source tools, enterprise infrastructure, and AI enrichment layers. We make MapLeads, so we put our numbers next to everyone else's instead of hiding behind vague "best overall" trophies. Competitor pricing below comes from public materials and may change; verify on each vendor's site before you buy.
Table of Contents
- What a Google Maps scraper actually returns
- Five ranking criteria (usable leads, not sticker price)
- Snapshot: ten tools side by side
- Deep dive: the 10 best Google Maps scrapers
- Free tiers and "free" open source: the real trade
- Extension vs cloud vs API vs open source
- Is scraping Google Maps legal?
- Decision checklist for picking a tool
- FAQ: best Google Maps scrapers
- Bottom line
What a Google Maps scraper actually returns
Hundreds of millions of business listings sit on Google Maps. A Google Maps scraper automates what you would otherwise do by hand: open a listing, copy name, address, phone, website, hours, rating, category, then paste into a sheet. Strong tools go further โ they open each business website and pull emails and social profiles so the export is a lead file, not just a directory dump.
Typical fields from a capable google maps data scraper:
- Identity: business name, category, place identifiers where available
- Location: full address, city, region, postal code, coordinates
- Contact: phone, website URL
- Trust signals: star rating, review count
- Operations: opening hours, status signals when exposed publicly
- Enrichment (via the linked site): emails, Facebook, Instagram, LinkedIn, and sometimes tech stack hints
A serious extractor often returns 30โ40 fields per business. Thin tools stop at six. That gap is why "cheap per 1,000 rows" can still be expensive per usable lead.
Why Maps instead of LinkedIn for many local B2B plays? The eight-person HVAC shop, the family restaurant, and the solo plumber in Ohio are often absent from professional networks and fully present on Maps. A large share of Google searches carry local intent; if your buyer has a storefront or service area, Maps remains one of the densest public wells for outbound.
This article is about choosing a tool. For product mechanics and export formats, see the Google Maps scraper overview, features, and export docs.
Five ranking criteria (usable leads, not sticker price)
Most "best scraper" roundups are written by vendors. We are a vendor too โ so the bar is transparent criteria and concrete prices, not vibes.
We scored each option on five dimensions:
- Data freshness. Live or on-demand pulls beat a frozen dump scraped months ago. Stale rows are the most common complaint after teams open the CSV.
- Real cost per 1,000 usable leads. Advertised price minus the share of records with no email, bad phones, or closed businesses. Enrichment included (or not) changes the math completely.
- Filtering before you pay. Can you require email, mobile, rating floor, or category before credits burn? Paying first and sorting junk later is a hidden tax.
- Max scale. City search is easy. State- and country-wide coverage is where extensions and naive scripts fail.
- Learning curve. Can a non-developer export a clean list this week, or do you need proxies, selectors, and a weekend of babysitting?
Treat every ranking โ including this one โ as a starting shortlist. Run a small pull on your niche and geography before you commit.
Snapshot: ten tools side by side
| Tool | Type | Entry price (verify) | Free option | Freshness | Scale | Best fit |
|---|---|---|---|---|---|---|
| MapLeads | Multi-map cloud SaaS | Lite $50/mo (15k leads) | 3-day trial | Real-time / on-demand | High (city โ country) | Lead gen with emails + socials included |
| Apify (Compass actor) | Cloud actor | ~$1.50 / 1k places + compute | Platform free credits | On-demand | High with setup | Developers & scheduled workflows |
| Outscraper | Pay-per-result cloud | ~$3 / 1k (lower at volume) | ~500 records | On-demand | High | Reviews & one-off exports |
| gosom (GitHub) | Open source | Free | Fully free | DIY | Medium (proxies) | Full control if you maintain it |
| Bright Data | Enterprise infra | ~$3 / 1k results | Trial | On-demand | Massive | Enterprise data pipelines |
| Octoparse | No-code generalist | ~$119/mo | Free tier | On-demand | Medium | Visual scrapers across many sites |
| PhantomBuster | Automation | ~$56/mo | Trial | On-demand | Medium | Multi-channel outreach chains |
| G Maps Extractor | Browser extension | ~$49/mo after free quota | ~1,000/mo free | Live browser | Lowโmedium | Budget recurring pulls |
| Map Lead Scraper | Chrome extension | ~$9.90/mo | Limited free | Live browser | Low | Cheapest paid extension lane |
| Maps Scraper AI / Clay-style | AI enrichment | Varies | Varies | Mixed | Medium | Top-up enrichment, not base file |
Prices for third-party tools are approximate snapshots from public materials and can change. MapLeads monthly plans: Lite $50 / 15,000 leads, Pro $100 / 40,000, Max $200 / 100,000 โ roughly $0.0033 / $0.0025 / $0.002 per lead, with verified emails and socials included on every plan. Exports: CSV, Excel, JSON. Details on pricing.
Deep dive: the 10 best Google Maps scrapers
Ten tools, honest limits included. MapLeads is recommended when your job is usable local leads at volume with enrichment built in. Other tools win for reviews, DIY control, enterprise plumbing, or pure automation glue.
1. MapLeads โ best specialist for multi-map lead extraction
MapLeads is built for teams that need business leads from Google Maps, Apple Maps, and Bing Maps, not a one-off dump of names and phones. Enrichment is not an add-on: verified emails and social profiles ship on every plan. You filter and export into CSV, Excel, or JSON, and you can automate with a REST API and webhooks. Public marketing pages show aggregate stats; individual contacts appear after export.
What sets MapLeads apart for lead gen:
- Multi-map coverage so you are not locked to a single directory surface
- Enrichment included so cost-per-usable-lead is closer to the sticker price
- Verified emails at no extra cost โ every address MapLeads returns is checked for deliverability by BillionVerify, our own sister product (same team, built in-house), before it ships in your export. Most of the tools on this list hand you raw, unverified addresses and expect you to run them through a separate verification vendor yourself
- Filter-first workflows aimed at paying for rows you will actually call or email
- Industry and city email-list pages for teams that want packaged lists alongside scraper-style pulls โ see email lists
- Predictable monthly credits instead of surprise compute bills
Plans:
| Plan | Monthly price | Leads / month | Approx. cost per lead |
|---|---|---|---|
| Lite | $50 | 15,000 | ~$0.0033 |
| Pro | $100 | 40,000 | ~$0.0025 |
| Max | $200 | 100,000 | ~$0.002 |
Trial: 3 days, with a plan and payment method required to start โ enough to validate freshness and email quality on your niche. See signup and pricing.
Honest limits: MapLeads is optimized for lead files (contacts + enrichment), not deep per-review sentiment pipelines. If your primary job is millions of raw review texts for NLP, Outscraper-style review tooling may fit better. For sales, agencies, and local outbound, MapLeads is the recommended default on this list.
2. Apify Google Maps Scraper โ best for developers and workflows
The Compass Apify Google Maps scraper is one of the most-used community actors: on the order of hundreds of thousands of users, tens of millions of runs, and a strong rating across a large review base. Developers who think in JSON, schedules, and actor chains get a flexible building block. Pricing often starts near $1.50 per 1,000 places, plus compute.
That "plus compute" line is the budgeting catch. You pay for machine time, not only for clean results. A run that burns 40 minutes and returns 300 solid leads can cost the same compute as a run that thrash-fails. Great if you are technical and already live in Apify. Rough if you need a non-dev-friendly UI and a predictable cost per usable email.
3. Outscraper โ best for reviews and one-off exports
Outscraper is a cloud, pay-per-result product with a free sample tier (commonly cited around 500 records), then roughly $3 per 1,000 stepping down toward $1 per 1,000 at volume. It is strong when you need reviews at scale or a quick one-off pull without a heavy subscription story. Public case examples on their materials include large multi-month pulls for local SEO analysis and operators who replaced months of manual collection with short automated runs.
The weakness for pure lead gen: pre-extraction filtering is thinner than specialist lead tools. You often bill on volume, then clean dead rows yourself. For review mining and opportunistic exports, it remains a top pick. For email-first outbound, compare usable-lead cost after enrichment carefully against MapLeads pricing.
4. gosom/google-maps-scraper (GitHub) โ best open-source option
Free, written in Go, with CLI, Web UI, and REST API surfaces. The gosom/google-maps-scraper project is the open-source name that shows up constantly for "google maps scraper github" searches, with thousands of stars. If you want a free Google Maps scraper with maximum control, this is the reference DIY stack.
"Free" still costs something: proxies, rate limits, CAPTCHA handling, and ongoing selector maintenance when Google changes markup. Email extraction usually needs extra work. When the DOM shifts โ often on an inconvenient Friday โ you own the fix. Technical teams with spare engineering hours can do well. Everyone else should price their time honestly.
5. Bright Data โ best for enterprise pipelines
Bright Data is infrastructure-scale: large proxy networks, enterprise SLAs, and Google Maps-oriented datasets often cited around $3 per 1,000 results on pay-as-you-go models (verify current packages). Fortune-scale buyers feeding data lakes and compliance-heavy pipelines land here for a reason.
For a five-person agency that needs plumbers in one state by Friday, it is usually the wrong shoe size โ more setup and process than the job requires. Not a quality criticism; different buyer. Lead-gen teams should compare enrichment, filtering, and total cost against a specialist like MapLeads before defaulting to enterprise infra.
6. Octoparse โ best no-code generalist
Octoparse offers a visual, drag-and-drop builder with Google Maps templates. Plans are often around $119/month. If you already scrape many sites in one generalist tool, the workflow familiarity is real.
For Maps-only lead gen, generalist pricing can feel high relative to dedicated extractors, and email enrichment is not the center of the product. Worth shortlisting when Maps is one of many sites you already automate; less compelling when Maps leads are the whole job.
7. PhantomBuster โ best for multi-channel automation
PhantomBuster shines when you chain Maps with LinkedIn and other channels into one automation story. Entry pricing is often near $56/month. If multi-channel orchestration is the product you buy, it belongs on the shortlist.
Pricing that bills by execution time rather than leads delivered can surprise teams who think in cost-per-contact. Public review aggregates have been mixed on some third-party sites โ evaluate current scores yourself. For pure Maps extraction quality and enrichment, a Maps-first tool is usually cleaner; for full outreach machinery, PhantomBuster still has a place.
8. G Maps Extractor โ best budget extension
A straightforward Google Maps scraper extension: commonly about 1,000 free leads per month, then roughly $49/month. Browser-based, simple, fine for small recurring pulls.
The ceiling is structural. Volume depends on an open browser session, and you inherit Google's practical per-search result walls. Freelancers and solo operators can live here. Agencies running many markets per week will outgrow it quickly.
9. Map Lead Scraper โ best cheap Chrome extension
Around $9.90/month with strong Chrome Web Store ratings, Map Lead Scraper is among the cheapest paid google maps scraper chrome extension options worth naming. For a few hundred listings on a tight budget, it can do the job.
Same class limits as every extension: live browser dependency, modest volume, and the familiar ~120-results-per-search constraint. A tool, not a platform.
10. Maps Scraper AI / Clay-style tools โ 2026 enrichment newcomers
Maps scraper AI products and Clay-style enrichment platforms โ including workflows people describe as Clay + Google Maps or HasData-style pipelines โ layer AI waterfalls on scraped or imported rows. They are useful as a top-up: fill missing emails, guess gaps, polish a file you already own.
As a primary source of fresh Maps inventory, they are still uneven. Marketing language often runs ahead of reliability. Build the base file with a scraper or multi-map extractor, then enrich โ do not reverse that order for mission-critical outbound.
Free tiers and "free" open source: the real trade
"Free" Google Maps scrapers are rarely free end-to-end. You pay in time, proxies, incomplete emails, or stale rows.
| Option | What you typically get | What you still pay |
|---|---|---|
| Outscraper free tier | ~500 records to sample | Hits a wall fast; cleaning time |
| G Maps Extractor free quota | ~1,000 leads/month | Browser limits; modest scale |
| gosom open source | Fully free software | Proxies, maintenance, email DIY |
| MapLeads trial | 3-day trial to test bulk quality | Plan + payment method to start; limited window |
The pattern is consistent across buyer communities: teams start free, then hit a wall on freshness, email coverage, or scale. The fair test is simple โ pull roughly 100 leads in your market, verify phones and emails yourself, and only then compare paid plans on cost per usable row, not raw row count.
MapLeads positions enrichment inside the plan so you are not stacking a separate verification product just to make the CSV outbound-ready. Explore plans on pricing and start from signup.
Extension vs cloud vs API vs open source
Four delivery models, different economics.
| Method | Time investment | Cost shape | Best when |
|---|---|---|---|
| Chrome extension | Minutes | Freeโ$ | One-off or tiny recurring volume |
| Cloud SaaS (MapLeads-class) | Minutes | Flat monthly credits | Volume + filters + emails |
| API / actor platforms | Hours to days | Usage + compute | Developers, automations |
| Open source | Days ongoing | Free software + your time | Full control, maintenance OK |
A three-person web agency that needs 500 plumbers in one state with emails by Friday almost always wants cloud SaaS: filter for has-email, export, done. A developer wiring weekly refreshes into a CRM may prefer Apify-style actors or a first-party API. MapLeads covers the product UI path plus API and webhooks when you outgrow click-ops.
One more comparison buyers ask about: the official Google Places API. It works for app lookups, but lead-gen math is harsh โ tight result caps per query, no emails on the listing surface, and cost that climbs fast past a few thousand records. Scraping public listing data (within legal and ToS risk constraints โ see below) usually wins on completeness for outbound. For a consumer feature doing single place lookups, the official API is the safer product choice.
Country-scale plays matter here. Outbound operators publicly describe pulling entire national categories off Maps to reach businesses invisible on LinkedIn โ funeral homes, HVAC, gyms. Extensions cannot do that job. Cloud specialists and well-built actors can. MapLeads is aimed at that "geography ร category โ enriched file" workflow across Google, Apple, and Bing Maps (Apple Maps scraper, Bing Maps scraper).
Is scraping Google Maps legal?
Short answer for public business data: collection is broadly treated as legal in the US for publicly available information. Long answer: usage rules still apply, and Google's Terms of Service restrict scraping as a contract matter.
US case law in the hiQ v. LinkedIn line has supported the idea that accessing public data is not automatically a CFAA violation. Google Maps business listings do not require a login to view core fields, which is stronger ground than gated personal profiles. So is it legal to scrape Google Maps for public business names, addresses, phones, and websites? In many common B2B research scenarios, yes for collection โ but this is not legal advice.
Usage nuance:
- Company phone, address, and generic inbox addresses are typically business data, not personal dossiers
- Individual personal emails and private identifiers raise GDPR/CCPA duties
- B2B prospecting often relies on legitimate interest (region-dependent) plus clear opt-out on every outreach message
- Prefer professional contact points over personal inboxes
Google's ToS prohibit scraping. Breaking ToS is primarily a contract / access risk (blocks, enforcement of terms), not "call the police" criminal framing. Different categories of risk.
MapLeads focuses on publicly available business data, designs for GDPR/CCPA-aware workflows, and keeps exports traceable to product sources. For sales motion guidance, see use cases for sales teams. If real liability is on the line, talk to counsel in your jurisdiction โ tools cannot substitute legal review.
Decision checklist for picking a tool
Do not compare feature grids alone. Compare what 1,000 usable leads cost after dead rows.
- Volume โ A few hundred rows or multi-city campaigns? Extensions die at scale; cloud tools do not.
- Geography โ One city versus every county in a state or a full country? Country-level extraction is where most tools quit.
- Emails required? โ Maps listings do not show emails. You need a google maps email scraper path that crawls linked websites (or a separate enrichment waterfall).
- Frequency โ One campaign or weekly refresh? Freshness compounds with frequency.
- Budget for usable rows โ A cheap google maps lead scraper that returns 70% unusable records is not cheap.
Quick mapping:
- Local B2B outbound, emails, no code โ MapLeads (recommended specialist) or similar cloud SaaS
- Developer automation โ Apify actors or MapLeads API
- Review corpora โ Outscraper-class tools
- Maximum DIY control โ gosom open source
- Enterprise lake + SLA โ Bright Data-class infra
- Tiny budget, tiny volume โ reputable extension with free quota
Answer the five questions above and the shortlist writes itself. Then validate on your niche before annual contracts or large prepaid packs.
FAQ: best Google Maps scrapers
What is the best Google Maps scraper in 2026?
It depends on the job. MapLeads for multi-map lead extraction with emails and socials included and predictable monthly credits; Apify for developer workflows; Outscraper for reviews and pay-per-result one-offs; gosom for open source; Bright Data for enterprise pipelines. The real ranking metric is cost per 1,000 usable leads after you discard dead phones and empty email columns โ not the cheapest sticker per raw row.
How does MapLeads pricing compare for lead gen?
MapLeads is Lite $50 / 15k leads, Pro $100 / 40k, Max $200 / 100k per month, with enrichment included. That is roughly $0.0033โ$0.002 per lead depending on plan. Compare that to pay-per-result tools that look cheaper until you add enrichment and throw away incomplete rows, or to compute-based actors whose bill floats with runtime. Always re-check competitor public pricing; it changes.
Is there a truly free Google Maps scraper?
Partially. Outscraper's free sample tier, extension free quotas (~1,000/month on some tools), and fully free open-source projects exist. MapLeads offers a 3-day trial (plan and payment method required) so you can test bulk quality, not only a toy sample. Sustained bulk extraction with strong email coverage eventually lands on a paid plan somewhere.
Is it legal to scrape Google Maps?
Extracting public business data is generally treated as lawful collection under US public-data case law, with important caveats. GDPR and CCPA primarily govern how you use data for outreach. Avoid personal data you do not need, keep opt-outs on emails, and prefer compliant tooling. Google's ToS still prohibit scraping โ a contract risk separate from criminal law. This is not legal advice.
Can I scrape emails from Google Maps?
Not from the listing card alone โ emails are not displayed there. Capable scrapers visit each business website (and sometimes social pages) to find contact addresses. MapLeads includes verified emails and socials on every plan โ verification runs through BillionVerify, MapLeads' own sister product, at no extra cost โ while other tools offer enrichment as a separate step, a partial feature, or leave raw unverified addresses for you to check yourself. See product features for the export field set.
Google Maps scraper vs Google Places API โ which should I use?
The official API limits fields (no emails on the listing), imposes quotas, and gets expensive at lead-gen volumes. A dedicated google maps business scraper reaches more public listing and website fields for outbound. For a product feature doing single place lookups with official terms compliance, use the Places API. For volume lead gen, specialists win on richness and usually on cost โ verify both against your volume.
Should I use a Chrome extension or a cloud Google Maps scraper?
Extensions win for tiny, interactive pulls while you browse. Cloud tools win when you need filters, enrichment, multi-city scale, and exports that do not depend on your laptop staying awake. Most teams that start on extensions graduate to cloud once campaigns expand past a few hundred rows per week.
Where do AI enrichment tools fit?
Use AI / Clay-style waterfalls to repair and extend a base file โ not as the only source of Maps inventory. Fresh extraction plus targeted enrichment beats pure generative guessing when deliverability and accuracy matter.
Bottom line
Ten tools, one rule: stop shopping on advertised price per 1,000 raw records and start counting usable leads. Freshness and pre-export filtering save more money than another 10% off a sticker rate. Extensions and open source can be rational at the right volume and skill level. Enterprise infra is rational at lake scale. Review platforms are rational when reviews are the product.
For most local outbound and agency lead work โ emails, socials, multi-map coverage, predictable credits โ MapLeads is the specialist we recommend on this list. Compare plans on pricing, scan features, browse packaged email lists, or start a 3-day trial. If you are still scanning the category, the alternatives index and the Google Maps scraper product page are the next stops.
Pick the tool that matches your volume, geography, and email requirement โ then prove data quality on your own market before you scale spend.