The best Google Maps scraper is usually the one that matches your operating model. A cloud actor, no-code SaaS scraper, browser extension, scraper API, open-source script, and UScraper's Google Maps Details Scraper for CSV Export can all collect place data, but they trade off hosting, code, pricing, custody, and output.
Comparison frame
What a Google Maps scraper alternative must prove
Searches like how to scrape Google Maps, google maps scraper alternatives, and google maps scraper api comparison hide different jobs. One person wants nearby restaurant leads. Another wants place details for a vetted store list. A developer wants JSON. A local SEO team wants ratings, categories, coordinates, websites, and phones in a spreadsheet.
So a fair comparison cannot stop at "does it scrape Google Maps?" It should answer four practical questions:
- Where does the browser or request infrastructure run?
- How much code and maintenance does the team own?
- Is the output built for CSV review, API pipelines, or cloud datasets?
- Is pricing tied to a subscription, usage meter, request, record, or app license?
A Google Maps scraper is not only an extraction tool. It is also a data-custody decision.
Side by side
Google Maps scraper alternatives compared
| Alternative | Best fit | Hosting and setup | Output model | Main trade-off |
|---|---|---|---|---|
| Google Places API | Product features, supported place lookup, app integrations | Google API project, developer setup, terms review | Structured API responses | Cleanest supported path, but not a quick spreadsheet scraper |
| Apify Google Maps actors | Recurring hosted scraping, datasets, schedules, API runs | Apify cloud, low to medium code | Dataset exports, API, CSV/JSON | Strong infrastructure, cloud custody and usage-style billing |
| Octoparse Google Maps templates | No-code teams that prefer hosted visual scraping | Vendor cloud, visual builder | CSV, Excel, JSON, integrations | Convenient cloud operation, less local workflow custody |
| PhantomBuster, Bardeen, Browse AI, ParseHub | Growth workflows, browser automation, spreadsheet exports | Vendor cloud or extension-style automation | Tables, CSV, Sheets, CRM sync | Fast to start, but control depends on the vendor |
| Outscraper, Bright Data, DataForSEO, SerpApi | Developer pipelines and API-first Maps data | Vendor infrastructure, API keys, request logic | JSON/API responses, sometimes CSV | Strong for scale, heavier than a one-off CSV job |
Open-source scripts such as gosom/google-maps-scraper | Engineering teams that want parser ownership | Your machine or server, code and infra required | CLI, web UI, API, or custom files | Maximum control, maximum maintenance |
| UScraper + Google Maps details template | Known place URLs to reviewable CSV | Local desktop app, visual JSON workflow | CSV from Structured Export | Best for visible local runs, not a fleet-scale cloud scraping backend |
If you search for a google map data scraper extension or map scraper chrome extension, expect speed. If you compare APIs, expect request design, quotas, location parameters, and monitoring. If you use UScraper, expect an inspectable workflow that opens place detail URLs and appends one row per place to google-maps-listing-and-details-page-scraper.csv.
Where UScraper fits
When UScraper is the better Google Maps scraper
UScraper is strongest when inputs are explicit and the output needs review. The Google Maps Details Scraper for CSV Export takes Google Maps place URLs you add to navigate.urls, loads each detail page, handles common consent buttons, scrolls visible panels, and exports fields through Structured Export.
The template is not a black box. You can inspect the blocks: Set Window Size, Navigate, Wait for Page Load, Wait for Element, Inject JavaScript, Sleep, Structured Export, and Loop Continue. You can also review the save path, file mode, selectors, and columns before running a batch.
| Export area | Example columns | Why it matters |
|---|---|---|
| Identity | name, category, detail_url, header_image | Ties every row back to the loaded place page. |
| Reputation | rating, rating_count, review_keyword1 through review_keyword10 | Helps local SEO, territory scoring, and competitor review snapshots. |
| Location | address, located_in, latitude, longitude, plus_code | Supports branch audits, deduping, territory mapping, and cleanup. |
| Contact and status | website, phone, current_status, next_status, open_hours | Helps qualify businesses before outreach or operational review. |
Where cloud wins
When Apify, Octoparse, APIs, or scripts make more sense
Cloud tools win when the job is bigger than a local CSV run. Apify is a better fit for scheduled actors, datasets, API-triggered runs, monitoring, and integrations. Octoparse fits teams that want cloud task management and hosted visual scraping. Outscraper, Bright Data, DataForSEO, and SerpApi fit developers who need API responses, location controls, request scaling, and predictable delivery into applications.
Open-source scripts are different. They can be right when engineers want full ownership of the parser, queue, storage layer, proxy setup, and retry logic. They are rarely the lowest-maintenance option for a marketing, sales, or operations team that simply needs Google Maps to CSV.
UScraper wins when place URLs, workflow edits, selectors, and the final CSV should stay inside a local desktop app workflow.
Cloud vendors win when you need concurrent runs, hosted queues, retries, remote datasets, APIs, and scheduled delivery.
Depends. Octoparse, Bardeen, Browse AI, PhantomBuster, and UScraper all reduce code. The real choice is hosting model and export control.
API providers win when a product needs JSON responses, auth, monitoring, and programmatic integration instead of spreadsheet-first QA.
API and compliance
Scraping Google Maps is not the same as using Places API
For app features, customer-facing lookup, embedded maps, or supported place details, start with Google's Places API overview, Text Search, and Place Details. The official route has pricing, field masks, attribution, and usage terms, but it is designed for applications.
Browser scraping is different. Google Maps may show visible public business information, but automated collection can still be restricted by the current Google Maps Platform terms, privacy rules, database rights, copyright, anti-circumvention rules, and local law. Do not bypass CAPTCHA, login walls, consent screens, or access controls.
Decision guide
Which Google Maps scraping tool should you pick?
Use Google Places API for supported app integrations. Use Apify for hosted actors and data pipelines. Use Octoparse for hosted visual scraping and cloud task management. Use PhantomBuster, Bardeen, Browse AI, or ParseHub when packaged automation solves the job. Use Outscraper, Bright Data, DataForSEO, or SerpApi when developers need a Google Maps scraper API. Use open-source scripts when engineering owns maintenance.
Use UScraper when the task is controlled: collect or prepare the Google Maps place URLs, inspect the visual flow, run the local desktop app, and export a CSV your team can audit. Start with the Google Maps Details Scraper template, then read the companion how-to guide or browse the template library for related Maps, search, reviews, and directory workflows. You can also return to the UScraper blog for broader comparisons.
FAQ
The best option depends on the job. Use Places API for supported app integrations, hosted actors for scale, no-code SaaS for cloud visual workflows, browser extensions for quick lead exports, scripts for engineering control, and UScraper for inspectable local CSV exports from known place URLs.