The best Google Maps scraper is the workflow that matches your input, budget, compliance process, and output format. This comparison looks at Apify, Octoparse, Outscraper, SERP APIs, the official Places API, scripts, and UScraper's Google Maps Listings Scraper by URLs for local CSV exports.
Comparison frame
What Google Maps scraper alternatives actually differ on
Most Google Maps scraper alternatives can produce a demo list of businesses. The real decision starts after the demo: where the browser runs, who stores the search terms, what pricing meter applies, whether code is required, and how much of the workflow your team can inspect when Google Maps changes.
Searches for how to scrape Google Maps listings usually fall into a few lanes: the official Places API, hosted actors such as Apify Google Maps Scraper, no-code templates such as Octoparse Google Maps templates, managed providers such as Outscraper, SERP APIs such as Bright Data or SerpApi, automation tools, and open-source projects such as gosom/google-maps-scraper.
The practical question is not "can this tool scrape Google Maps?" It is "which tool produces rows we can defend, maintain, and afford for this exact use case?"
Side-by-side
Best Google Maps scrapers compared
| Option | Best fit | Hosting | Output | Main trade-off |
|---|---|---|---|---|
| Google Places API | Approved apps and integrations | Google API | Supported API responses | Strongest sanctioned route, but not a quick spreadsheet scraper |
| Apify Google Maps actors | Recurring cloud jobs, datasets, APIs | Vendor cloud | JSON, CSV, datasets, API | Strong automation; less local custody |
| Octoparse Google Maps templates | Hosted no-code extraction | Vendor cloud | CSV, Excel, JSON | Visual setup; vendor-hosted workflow |
| Outscraper | Lead and place data through UI or API | Vendor cloud | CSV, XLSX, JSON, API | Practical for scale; rows leave your local workflow |
| Bright Data or SerpApi | Developer SERP/Maps pipelines | Vendor infrastructure | Structured API output | Good for code pipelines, heavier than analyst CSV work |
| PhantomBuster and automations | Sales workflows and scheduled exports | Vendor cloud | CSV plus automation outputs | Convenient automations, narrower extractor control |
| Open-source scripts | Engineering-owned parsers | Your environment | Whatever you build | Maximum control, maximum maintenance |
| UScraper + Google Maps Listings Scraper by URLs | Local CSV from known Maps URLs | Local desktop app | CSV with 17 listing fields | Best for supervised local runs, not fleet-scale cloud scraping |
This is not a universal ranking. A production app should compare official API and provider routes first. A market researcher with vetted Maps URLs may care more about local CSV output and visible workflow steps.
Where UScraper wins
When a local desktop app is the better Google Maps scraper
UScraper is strongest when the job is URL-led and CSV-first. The companion Google Maps Listings Scraper by URLs template opens each supplied Maps URL, handles common consent buttons, waits for listing cards or a place heading, scrolls a visible result feed, prepares rows, and exports the data to CSV.
The bundled workflow is intentionally practical. If a search URL opens a selected place panel, it tries the Maps Back button to return to the feed. If Google redirects to a single place page, it falls back to the main visible place record. Only cards inside div[role="feed"] are treated as listing rows, which helps avoid false rows from nested modules.
| UScraper export field | What it captures | Why it matters |
|---|---|---|
original_url and keyword | Source Maps URL and inferred query | Keeps each row tied to its search context |
name, category, address | Core business identity fields | Supports lead review and deduplication |
rating, review_count, price_range | Visible marketplace signals | Helps prioritize follow-up |
latitude, longitude, detail_url | Coordinates and Maps place URL | Preserves audit references |
website, telephone, tags | Contact and service fields when visible | Useful for enrichment, routing, and outreach QA |
current_status, next_status, scraped_at | Status text and run timestamp | Makes stale or temporarily closed rows easier to filter |
Where hosted tools win
When Apify, Octoparse, Outscraper, or APIs make more sense
Choose Apify for hosted actors, datasets, API calls, schedules, monitoring, and integrations. Choose Octoparse for hosted no-code templates and cloud exports. Choose Outscraper when the job is a managed lead-data workflow with UI and API options. Choose Bright Data, SerpApi, or another SERP API when developers want structured Maps responses with vendor-managed delivery. Choose open-source scripts when engineering can own browsers, queues, logging, proxy policy, tests, and parser updates.
UScraper wins when the operator needs to inspect the run and open the exported CSV before using it.
Hosted actors, SaaS scrapers, and SERP APIs are better for scheduled jobs, API orchestration, and remote storage.
Octoparse, Outscraper, PhantomBuster, and UScraper all reduce code. The difference is vendor-hosted flow versus local desktop workflow.
Open-source scripts give maximum parser control. UScraper gives visible block-level control without asking every analyst to maintain code.
API fit
Google Places API vs scraper
The Google Places API vs scraper decision is partly technical and partly legal. The official Places API documentation is the right starting point for an app, product, or sanctioned integration. It gives programmatic access to supported place data, but you must handle billing, API keys or OAuth tokens, field selection, attribution, storage restrictions, and policy requirements.
A scraper is usually considered for exploratory research, spreadsheet export, or a workflow that starts from existing Maps URLs. That does not remove compliance work. Review current Google Maps Platform terms, avoid bypassing access controls, collect only what you need, and get legal review before redistribution, resale, or automated outreach.
Decision guide
Which Google Maps listing scraper should you pick?
Pick Google Places API for approved application integrations. Pick Apify for cloud actors and datasets. Pick Octoparse for hosted no-code scraping. Pick Outscraper for managed lead-data workflows. Pick Bright Data or SerpApi for developer SERP pipelines. Pick open-source scripts when engineering owns the parser long term.
Pick UScraper if the job is narrower: import the template, add Google Maps URLs you are allowed to process, run a visible local workflow, export CSV, and review the rows. Start with the Google Maps Listings Scraper by URLs template, browse more UScraper templates, or return to the blog.
FAQ
Google Maps scraper alternatives FAQ
The best Google Maps scraper depends on input shape, scale, hosting, compliance, and output format. Use UScraper when you already have approved Google Maps URLs, want a local desktop app workflow, and need a reviewable CSV export.