The best Google Maps scraper depends on the job. A growth analyst building CSV leads, a developer wiring JSON, and an agency running recurring prospecting need different trade-offs. This comparison covers cloud actors, no-code SaaS, scraper APIs, scripts, the official Google Places API, and UScraper's Google Maps Leads Scraper by URLs.
Comparison frame
What Google Maps scraper tools actually differ on
Most Google Maps scraping tools can produce a first batch of business names, ratings, addresses, and URLs. The hard part is what happens after the demo: how the tool handles infinite scroll, where rows are stored, which fields stay stable, how pricing is metered, and who fixes selectors. That is why google maps scraper, google maps data scraper, and google maps leads scraper searches usually split across official APIs, cloud actors, no-code SaaS tools, scraper APIs, open-source scripts, and local desktop workflows.
The practical question is not "can this tool scrape Google Maps?" It is "which workflow gives us the right custody model, output columns, maintenance path, and cost shape for this exact leads project?"
Side-by-side
Google Maps scraper alternatives compared
| Option | Best fit | Hosting | Code needed | Output shape | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| Google Places API | Approved apps, location products, policy-sensitive projects | Google API | Developer integration | Structured API responses | API billing and policy limits | Strongest compliant route, but not a quick spreadsheet scraper |
| Apify Google Maps actors | Recurring cloud runs, datasets, API automation | Apify cloud | Low to medium | JSON, CSV, Excel, dataset API | Platform usage plus actor pricing | Strong automation, but cloud custody and metered runs |
| Octoparse Google Maps templates | Hosted no-code scraping by keyword, URL, or location | Vendor cloud | Low | CSV, Excel, JSON exports | SaaS plan and task/export limits | Friendly visual setup, but less local control |
| Outscraper | Lead extraction through app or API | Vendor infrastructure | Low to medium | CSV, Excel, JSON, API responses | Usage-based lead/API pricing | Convenient data delivery, less workflow visibility |
| Bright Data or SerpApi | SERP-scale APIs and developer pipelines | Vendor infrastructure | Medium | JSON or HTML/API payloads | Usage/request pricing | Strong infrastructure, heavier than one CSV workflow |
| Open-source scripts | Engineering-owned scrapers and custom parsers | Your environment | High | Whatever you build | Engineer time plus proxy/runtime cost | Maximum control, maximum maintenance |
| UScraper + Google Maps Leads Scraper by URLs | Local CSV from Google Maps search result URLs | Local desktop app | Low | CSV with business-card fields | Free template; app licensing applies | Best for inspectable local runs, not fleet-scale cloud scraping |
Where UScraper wins
When the local desktop app approach is the better Google Maps scraper
UScraper is strongest when the deliverable is a file your team can inspect, not a production search API. The Google Maps Leads Scraper by URLs template opens configured Google Maps search result URLs, waits for listing cards, injects a collector into the page, scrolls candidate feed containers, stores unique visible cards in a hidden buffer, and exports rows to CSV.
The bundled workflow definition is the source of truth:
Set Window Size -> Navigate -> Wait for Page Load -> Sleep
-> Wait for listing cards -> Inject JavaScript collector
-> Scroll and collect visible cards -> Wait for buffer rows
-> Structured Export -> Loop Continue
| UScraper export field | What it captures | Why it matters |
|---|---|---|
keyword and page_url | Search term and source Google Maps URL | Keeps rows tied to the original query. |
title, category, address | Visible business identity and location text | Core local lead fields. |
detail_url, latitude, longitude | Place URL and coordinates parsed when present | Supports audit, dedupe, and mapping. |
website, phone, status | Visible contact and status signals when exposed | Helpful, but not guaranteed on every card. |
That "when visible" qualifier matters. Google Maps uses virtualized infinite-scroll feeds and can change markup, limit loading, or show verification checks. Richer detail-page fields, such as full weekly hours, plus codes, extra images, or complete phone and website coverage, may be blank unless Google exposes them in the listing card during the run.
Where cloud wins
When Apify, Octoparse, Outscraper, or APIs make more sense
Choose Apify when the scraping job belongs in a cloud automation stack with scheduled runs, actor APIs, datasets, logs, and downstream integrations. Choose Octoparse when operators want hosted no-code templates and cloud task management. Choose Outscraper, Bright Data, SerpApi, or ScraperAPI when your product needs API-style delivery, managed retries, unblocking infrastructure, and JSON responses. Choose open-source scripts when engineering wants full parser ownership and accepts the maintenance cost.
Policy
Google Maps policies should guide the scraper choice
Google Maps data may be visible in a browser, but automated collection still touches terms, API policies, attribution rules, access controls, privacy law, contracts, and local regulations. Review Google's Maps terms and Places API policies before running at scale.
Do not bypass CAPTCHA, login walls, access controls, or rate limits. If you are building a product, redistributing data, storing place data long term, or promising customers coverage and freshness, treat the official Places API and legal review as first-class options.
Decision guide
Which Google Maps leads scraper should you pick?
Pick Google Places API for approved applications and official structured place data. Pick Apify for cloud actors, scheduled scraping, and dataset APIs. Pick Octoparse for hosted no-code Google Maps extraction. Pick Outscraper, Bright Data, SerpApi, or ScraperAPI for API-style delivery. Pick scripts if engineers will own the parser long term.
Pick UScraper when the job is narrower and practical: start from one or more Google Maps search result URLs, run the workflow in a local desktop app, collect visible lead cards, export CSV, and inspect the columns before outreach or analysis. Start with the Google Maps Leads Scraper by URLs template, browse other UScraper templates, or return to the UScraper blog for related scraping tutorials and comparisons.
FAQ
Google Maps scraper FAQ
It depends on scale, hosting, code tolerance, policy requirements, and output format. Use UScraper when you need a local desktop app workflow that exports visible Google Maps business cards to CSV.