The best Google Maps Japan scraper is not one single tool. It depends on whether you need a quick CSV of store listings, a hosted actor, an API feed, an official Places integration, or a script your engineers can maintain. This comparison covers Apify, Octoparse, Outscraper, scraper APIs, Google Places API, open-source scripts, and UScraper's Google Maps Store Listing Scraper Japan.
Comparison frame
What Google Maps Japan scraper alternatives differ on
Most Google Maps scraper alternatives can produce a demo with business names, addresses, ratings, and map URLs. The real difference appears after the first run: where the browser runs, who stores the output, what pricing meter applies, how much code is required, and who fixes the workflow when Google Maps changes its interface.
Japan adds practical checks: Japanese search terms such as 居酒屋 東京, visible phone and website links, coordinates in Maps URLs, and result cards that load only as the feed scrolls.
The right question is not "which tool can scrape Google Maps?" It is "which workflow gives this team the right custody, output, price shape, and maintenance path?"
Side-by-side
Best Google Maps scrapers for Japan store listings
| Option | Best fit | Hosting | Code needed | Output | Price shape | Trade-off |
|---|---|---|---|---|---|---|
| UScraper + Japan template | Focused local CSV runs | Local desktop app | Low | CSV listing fields | Free template; app plan applies | Inspectable, not fleet-scale scheduling |
| Apify actors | Hosted jobs, APIs, datasets | Vendor cloud | Low to medium | JSON, CSV, Excel, API | Usage, storage, proxy, compute | Strong automation, less local custody |
| Octoparse templates | Hosted no-code extraction | Vendor ecosystem | Low | CSV, Excel, JSON | SaaS, credits, rows, cloud limits | Fast setup, vendor-run workflow |
| Outscraper and SaaS lead tools | Lead lists and enrichment | Vendor cloud | Low | CSV, Excel, API | Rows, requests, enrichment | Useful output, volume-sensitive cost |
| Bright Data, SerpApi, DataForSEO, ScraperAPI | Developer pipelines | Managed API | Medium | JSON/API, sometimes CSV | Requests, credits, results | Powerful, heavier than one spreadsheet |
| Google Places API | Official app integrations | Google Cloud | Medium | API fields | Platform billing | Official route, not a bulk scraper |
| Open-source scripts | Parser ownership | Your infrastructure | High | Custom | Engineering and hosting | Full control, full maintenance |
API baseline
Google Maps scraper vs Places API
The official Google Places API is the baseline for supported place lookup in applications. Use it when you can work within Google Maps Platform terms and manage API keys, billing, field masks, place IDs, and Place Details requests.
A scraper is different. It is usually chosen when the operator needs a research CSV from visible Maps results for market mapping, local SEO audits, or first-pass lead research.
Where UScraper wins
When UScraper is the better Google Maps Japan scraper
UScraper fits the middle ground between a hosted scraper and a custom script. The Google Maps Store Listing Scraper Japan template opens a Maps search URL, waits for result cards, runs a bounded scroll collector, creates normalized rows, and exports them through a Structured Export block.
That visual flow matters when an analyst needs to explain the result: Navigate -> Wait -> Collect -> Export -> End. The stock collector has maxScrolls set to 35, so the run is bounded rather than an endless crawler.
| UScraper export column | What it captures |
|---|---|
search_keyword | Decoded Google Maps search term, such as 居酒屋 東京 |
title, maps_url | Store or business name and Maps result URL |
rating, review_count | Visible review signals from the result card |
category, address | Business type and visible location text |
website, phone, hours | Contact and hours fields when Google Maps exposes them on the loaded card |
longitude, latitude | Coordinates parsed from the Maps URL when present |
scraped_at | Timestamp for audit and repeat-run comparison |
UScraper wins when the team wants a local desktop app, visible workflow blocks, and a spreadsheet-ready CSV saved from a supervised run.
Cloud actors and APIs win when the job needs schedules, queues, high concurrency, managed retries, and remote dataset APIs.
It depends. Octoparse-style tools are convenient for hosted templates; UScraper is stronger when local custody and editable workflow blocks matter.
Scripts win when engineers need tests, database writes, version control, custom retry policy, and ownership of every parsing rule.
Where cloud wins
When Apify, Octoparse, Outscraper, or APIs make more sense
Choose Apify-style actors for hosted runs, datasets, API access, logs, scheduling, and repeat jobs. Choose Octoparse for hosted no-code templates. Choose Outscraper or similar lead tools when enrichment and bulk delivery matter more than seeing the browser workflow.
Choose Bright Data, SerpApi, DataForSEO, ScraperAPI, or another API provider when developers need structured responses for many keyword and location combinations.
Prefer UScraper or a visual scraper. API responses often need engineering work before a non-technical user gets a clean file.
Compliance
Review Google Maps rules before scraping
Google Maps listings can appear in a browser, but public visibility is not blanket permission for automated collection. Review current Google Maps Platform terms, access controls, privacy obligations, anti-spam rules, database rights, copyright, and local law before using any scraper.
Do not bypass login walls, CAPTCHA, payment flows, technical restrictions, or private data. Keep runs modest.
Decision guide
Which Google Maps scraper alternative should you pick?
Pick Google Places API for official app integrations, Apify for hosted actors, Octoparse for hosted no-code templates, Outscraper for enriched lead delivery, API providers for developer pipelines, and open-source scripts when your team wants to own the parser.
Pick UScraper when the job is narrower: scrape Google Maps Japan store listings for a controlled keyword, export visible fields to CSV, review rows locally, and adjust the visual workflow when the page changes. Start with the Google Maps Store Listing Scraper Japan template, browse more UScraper templates, or read other scraper comparisons.
FAQ
Google Maps Japan scraper FAQ
It depends on hosting, scale, code tolerance, compliance, and output. Use APIs or cloud platforms for production pipelines, scripts for engineering ownership, and UScraper for a local desktop app workflow that exports visible Japan store listing fields to CSV.