The best Google Maps scraper depends on the job: an approved API integration, a hosted scraper, a no-code SaaS workflow, an open-source script, or a local CSV run. This comparison focuses on Spanish lead research and shows where UScraper's Google Maps Listing Scraper Spanish template fits against the common alternatives.
Comparison frame
What a Google Maps scraper alternative has to solve
Google Maps lead data looks simple until you operationalize it. A useful Google Maps data extractor has to preserve business fields, source URL, keyword context, location signals, and export format so the CSV still makes sense after it leaves the browser.
That is why searches for how to scrape Google Maps split into several lanes: official API access, marketplace actors, no-code SaaS scrapers, scraper APIs, open-source scripts, and local desktop workflows such as UScraper templates.
The practical question is not "can this tool scrape Google Maps?" It is "does this tool match your compliance route, maintenance skill, cost model, and output format?"
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, directories, product integrations | Google API | Developer integration | Structured API responses | Google Maps Platform billing, quotas, field choices | Strongest official route, but not a quick spreadsheet scraper |
| Apify Google Places actor | Recurring hosted jobs and pipeline automation | Apify cloud | Low to medium | Dataset, JSON, CSV, API | Platform usage and actor/runtime costs | Good orchestration, but data and run logs live in a hosted workflow |
| Octoparse Google Maps template | No-code teams that prefer a hosted visual scraper | Vendor cloud | Low | CSV, Excel, JSON | SaaS plans, task limits, cloud resources | Easy setup, less local custody over execution |
| PhantomBuster Google Maps export | Sales and growth teams automating lead exports | Vendor cloud | Low | Spreadsheet-style exports | SaaS automation credits or plan limits | Convenient automation, but platform rules and limits shape the run |
| Outscraper Google Maps Scraper | Bulk Google Maps lead data and enrichment | Vendor cloud/API | Low to medium | CSV, Excel, API data | Per-record or usage-based services | Strong Maps specialization, but costs can move with enrichment needs |
| Bright Data Maps API | Enterprise-scale Maps and SERP extraction | Vendor infrastructure | Medium | API responses, structured data | Usage-based API pricing | Powerful at scale, usually heavy for a one-off analyst CSV |
| Open-source scripts | Engineering teams with custom parsing, queues, and storage | Your infrastructure | High | Whatever your code writes | Engineering time, proxies, maintenance | Maximum control, maximum upkeep |
| UScraper + Spanish template | Local Spanish lead-list CSV from known place URLs | Local desktop app | Low | CSV with Spanish workflow columns | Free template; app plan applies | Best for inspectable local runs, not fleet-scale hosted crawling |
This is not a universal ranking. A product team building a directory should evaluate the official API first. A lead-generation agency running large recurring jobs may prefer hosted APIs. A researcher validating a smaller Spanish list may care more about transparent steps and local CSV output.
Where UScraper fits
When a local desktop app workflow is the better fit
The Google Maps Listing Scraper Spanish template is intentionally narrower than a cloud crawler. It opens configured Google Maps place-detail URLs, waits for the page title, optionally expands a visible control, runs Structured Export, and appends rows to google-maps-scraper-tiendas-detalles-palabrasclave.csv.
That shape is useful when you already know the keyword and city. A sales team can collect approved place URLs for "bar en Madrid" or clinics in Barcelona, then create a consistent CSV snapshot with the keyword label beside each row.
The stock columns are:
| Column | Meaning |
|---|---|
palabra_clave | Keyword or campaign label you set in the export block |
titulo | Business title from the loaded detail page |
url | Current Google Maps place URL |
rating and resenas | Visible rating and review count |
categoria | Business category shown on the page |
direccion, sitio_web, telefono | Address, website, and phone fields when visible |
latitud and longitud | Coordinates parsed from the Maps URL |
horario and hora_actual | Hours text and scrape timestamp |
Where cloud wins
When Apify, Octoparse, Outscraper, or APIs make more sense
Choose a cloud actor when you need scheduled runs, remote datasets, retries, proxy management, and higher concurrency. Choose Octoparse-style SaaS when operators want a hosted visual builder. Choose Outscraper, Bright Data, ScraperAPI, or SerpApi-style services when engineering wants structured API responses and enrichment. Choose scripts when the scraper belongs in your codebase and your team can maintain selectors, queues, and storage.
Start with the Google Places API and review the current field coverage, terms, billing, and quota model. A scraper should not be the first choice when an official API path clearly covers the job.
Decision guide
Which Google Maps scraper should you pick?
Pick Google Places API if you are building an approved product integration and the fields, terms, pricing, and quota model fit the use case. Pick Apify for hosted actors and datasets. Pick Octoparse for hosted no-code scraping. Pick Outscraper for Maps-focused bulk extraction and enrichment. Pick Bright Data or scraper APIs for API-first production pipelines. Pick open-source scripts when engineers own the scraper long term.
Pick UScraper when the job is smaller and more inspectable: import the template, replace the sample place URLs, set the keyword label, confirm the CSV path, run the flow, and review rows locally. Start with the Spanish Google Maps listing scraper template, then browse the broader UScraper template library for related workflows such as Google Maps Scraper and Google Maps Reviews Scraper. For more tutorials and comparisons, use the UScraper blog.
FAQ
Which Google Maps scraper alternative is best for Spanish lead lists?
For approved product integrations, start with Google Places API. For large hosted scraping, compare Apify, Outscraper, Bright Data, scraper APIs, and no-code SaaS tools. For a controlled Spanish lead list where you already have place URLs and need CSV, UScraper is often simpler.
Is the Google Places API a better alternative?
It can be. The official API route is the cleaner choice when the use case fits Google's terms, field coverage, billing model, and quota limits. A no-code Google Maps scraper becomes relevant when the team needs browser-visible fields or a spreadsheet workflow instead of an API integration.
Is it legal to scrape Google Maps listings?
It depends on permissions, purpose, jurisdiction, fields collected, and how the automation behaves. Review Google's current terms, do not bypass access controls, avoid sensitive personal data, keep volume modest, and get legal review before commercial use.
What does the UScraper Spanish template export?
It exports one CSV row per configured place URL with palabra_clave, titulo, url, rating, resenas, categoria, direccion, sitio_web, telefono, latitud, longitud, horario, and hora_actual. The bundled JSON workflow is the authoritative definition.