The best Google Maps scraper is the one that matches your output, governance, budget, and maintenance tolerance. This comparison puts Google Maps Listings Scraper by Keywords for UScraper beside Apify actors, Octoparse, Outscraper, Browse AI, Bardeen, scraper APIs, official Google Places API routes, and open-source scripts.
Comparison frame
What Google Maps scraper alternatives really differ on
Most Google Maps scraping tools promise the same first sentence: enter a keyword and location, collect businesses, export structured data. The real differences are hosting, data custody, pricing meter, selector maintenance, and whether the output is a spreadsheet or an API feed. Searches like best Google Maps scraper, google maps scraper alternatives, and google maps scraper vs Places API usually mix four categories:
- Official APIs such as Places API Text Search, where the deliverable is a documented JSON response.
- Hosted scraping platforms such as Apify Google Maps actors, Octoparse Google Maps templates, Outscraper, Browse AI, Bardeen, Bright Data, SerpApi, and DataForSEO.
- Open-source scripts, including google maps scraper GitHub projects such as gosom/google-maps-scraper, where engineering owns the runtime.
- Local desktop app workflows such as UScraper templates, where the operator can inspect the browser flow and write CSV files locally.
The right question is not "which tool can collect Google Maps data?" It is "which workflow gives our team rows we can audit, afford, maintain, and use under the rules that apply to us?"
Side-by-side
Google Maps scraping tools compared
| Option | Best fit | Hosting | Code needed | Output | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| Google Places API | Production apps, governed place search, official API access | Google Cloud | Medium | JSON | API usage and billing | Strong governance, but not a spreadsheet scraper |
| Apify Google Maps actors | Cloud scraping, datasets, schedules, API-triggered jobs | Apify cloud | Low to medium | Dataset, JSON, CSV, Excel | Actor and platform usage | Powerful automation, less local custody |
| Octoparse templates | No-code teams that want visual setup and hosted tasks | Vendor platform | Low | CSV, Excel, JSON | SaaS plan and task limits | Easy setup, vendor-hosted execution |
| Outscraper | Managed Google Maps scraping as no-code or API | Vendor cloud | Low to medium | CSV, Excel, JSON, API | Usage or plan pricing | Convenient service, external data processing |
| Browse AI or Bardeen | Browser automation tied to sheets, CRMs, and workflows | Vendor platform or browser automation | Low | Tables, Sheets, app integrations | Plan and automation limits | Useful workflows, less control over parser internals |
| Bright Data, SerpApi, DataForSEO | Developer SERP and Maps data pipelines | Vendor infrastructure | Medium | JSON or delivered files | Request, record, or contract pricing | Strong APIs, heavier setup for one CSV |
| Open-source scripts | Engineering teams that want full ownership | Your environment | High | Whatever you build | Engineering time and infrastructure | Maximum control, maximum maintenance |
| UScraper + Listings by Keywords | Analyst-led keyword searches exported to CSV | Local desktop app | Low | CSV listing rows | Free template; app licensing applies | Inspectable local runs, not cloud-scale scheduling |
This is not a universal ranking. A product team building a location feature should start with the official API. A local SEO analyst may care more about a readable CSV and a workflow they can watch.
Where UScraper wins
When UScraper is the better Google Maps listings scraper
UScraper wins when the work is local, visual, and CSV-first. The related Google Maps Listings Scraper by Keywords template opens normal Google Maps search URLs, waits for the results feed, scrolls the listing pane in bounded passes, stores visible cards in a hidden export buffer, and writes a structured CSV.
The template fits searches such as dentist in austin, petrol station in london, or coffee shop near soho. The operator can see blocks for window size, navigation, page load, feed waits, JavaScript collection, row buffering, structured export, and loop continuation.
| UScraper advantage | Why it matters for Google Maps listings |
|---|---|
| Local desktop app flow | The browser session and CSV save path are visible during the run. |
| Visual workflow blocks | Navigation, waits, collection logic, export fields, and loops can be inspected. |
| CSV-first output | Sales, SEO, research, and operations teams can filter rows before enrichment or CRM import. |
| Free importable template | The workflow JSON is free to download; check current app licensing before production use. |
| Bounded scroll logic | The workflow avoids an unbounded infinite scroll and stops when results stabilize. |
The export shape is practical for first-pass local research: keyword, name, rating, review_count, price_range, category, address, latitude, longitude, current_status, next_status, website, scraped_at, telephone, tags, and detail_url.
Where competitors win
When Apify, Octoparse, Outscraper, APIs, or scripts make more sense
Choose Apify when you want hosted actors, run history, datasets, scheduling, webhooks, and API-triggered collection. It fits data operations that feed software systems instead of one-off spreadsheet reviews.
Choose Octoparse when no-code operators want template-style setup and hosted task management. Choose Outscraper when you want a managed Google Maps scraper product with no-code and API paths. Choose Browse AI or Bardeen when the workflow is close to "extract this table and send it to Sheets, Airtable, Notion, or a CRM."
Choose Bright Data, SerpApi, or DataForSEO when developers need an API-first data vendor. Choose an open-source script only when engineers will own browser setup, retries, proxies, parser updates, tests, and deployment.
API fit
Google Maps scraper vs Places API
The official Google Places API is the better starting point when your project needs an API key, documented billing, field masks, attribution handling, and predictable application behavior. Text Search covers keyword-style place discovery; Place Details helps when you already know a place and need more fields.
A scraper is more practical when the deliverable is internal research from visible pages: a category list, a local SEO snapshot, a sales territory check, or a CSV that an analyst will inspect before use. Even then, keep runs modest, avoid bypassing access controls, document the query and run date, and review legal requirements before outreach, resale, enrichment, or redistribution.
Decision guide
Which Google Maps scraper should you pick?
UScraper wins when you need an inspectable local desktop app workflow for keyword search result pages. Start with Google Maps Listings Scraper by Keywords.
Google Places API wins when the data belongs inside production software, needs formal governance, or must follow official API and attribution requirements.
Apify, Outscraper, Octoparse, Bright Data, SerpApi, and DataForSEO win when remote execution, API delivery, recurring jobs, or vendor-managed infrastructure are required.
Scripts can win when engineers own the stack. UScraper wins when business users need editable visual logic and local CSV output without maintaining code.
For the supported template, open the Google Maps Listings Scraper by Keywords page. For adjacent extractors, browse the UScraper template library or more comparisons in the UScraper blog.
FAQ
Google Maps listings scraper alternatives FAQ
The best scraper depends on the workflow. Use the Places API for approved application integrations, hosted platforms for cloud scheduling, scripts for engineering-owned pipelines, and UScraper when analysts need an inspectable local desktop workflow that exports Google Maps listing search results to CSV.