Searching for the best Google reviews scraper gets confusing because most tools are built around business listings, not reviewer profiles. This comparison focuses on Google Maps reviewer data scraper options: marketplace actors, cloud SaaS, APIs, open-source scripts, and UScraper's Google Maps Reviews Scraper by Reviewer template.
Comparison frame
What makes reviewer scraping different
A normal Google Maps reviews scraper starts with a place: a restaurant, clinic, store, agency, or local service listing. A reviewer-based scraper starts with a Google Maps contributor profile and exports the visible businesses that person reviewed. That changes the use case.
Reviewer exports are useful for suspicious-review audits, Local Guide research, market studies, and internal QA where the reviewer profile matters as much as the business being reviewed. The output should keep reviewer metadata beside each row: username, contributor type, level, points, review count, rating count, reviewed place, rating, date, review text, owner response, likes, place URL, and reviewer profile URL.
The core decision is not only "can this tool scrape Google reviews?" It is "does it start from reviewer profiles, and can your team validate the rows before using them?"
Side-by-side
Google Maps reviewer scraper alternatives compared
| Option | Best fit | Hosting | Code needed | Output | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| Official Google APIs | Owned or approved place workflows | Google API | Medium | Structured API responses | API billing and access rules | Strongest compliance route, but not a general public reviewer-profile exporter |
| Apify Google Maps review actors | Cloud jobs, datasets, schedules, integrations | Apify cloud | Low to medium | Dataset, JSON, CSV, API | Platform and actor usage | Strong automation, but runs and output live in a hosted actor environment |
| Octoparse Google Maps review templates | No-code teams that prefer cloud tasks | Vendor cloud | Low | CSV, Excel, JSON | SaaS plan and task limits | Easier setup, less local control over browser state and selector edits |
| Outscraper-style services | Packaged review export or review API delivery | Vendor cloud | Low to medium | CSV, Excel, JSON, API | Per-result, credit, or plan-based | Convenient at scale, but cost rises with volume and vendor custody |
| Bright Data / DataForSEO-style APIs | Developer pipelines and local SEO software | Vendor API | Medium | JSON | Request or result pricing | Good for applications, heavier than a one-off analyst CSV |
| Open-source scripts | Engineering teams that need full parser ownership | Your infra | High | Whatever you build | Engineering time plus proxies/infra | Maximum flexibility, maximum maintenance burden |
| UScraper + reviewer template | Analyst-led CSV exports from known contributor URLs | Local desktop app | Low | CSV with reviewer and place fields | Template is free; app licensing applies | Best for visible, reviewable local runs; not a fleet-scale hosted API |
Known tools
Apify vs Octoparse vs Outscraper for Google reviews
Apify is a strong fit when review extraction belongs in a developer-owned automation stack. Google Maps reviews actors can be started through a UI or API, scheduled, monitored, and connected to datasets. That makes Apify practical for repeatable cloud collection.
Octoparse fits teams that want a hosted no-code builder and spreadsheet exports. Its Google Maps review templates are closer to a visual SaaS workflow: configure inputs, run in the cloud, and export the result. The trade-off is that task limits and troubleshooting stay tied to the platform.
Outscraper-style products are more packaged. They are useful when you want review exports, APIs, and delivery formats without maintaining a browser workflow yourself. UScraper is narrower: it is strongest when you already have reviewer profile URLs, want to inspect the block graph, and care where the CSV is written.
UScraper fit
Where UScraper wins for reviewer-profile exports
The Google Maps Reviews Scraper by Reviewer template starts from public Google Maps contributor URLs that end in /reviews. The workflow opens each profile, selects the Reviews tab, scrolls the Maps side panel, deduplicates visible cards, and appends rows to google-maps-reviews-scraper-by-user-page.csv.
That local, visual flow matters when the work is investigative. You can run one profile, compare the CSV against the browser, update waits or selectors, then add the rest of the URL list. The workflow definition also makes the export shape visible: username, user_type, level, points, review_count, rating_count, review_shop, shop_address, review_rating, review_time, review_content, owner_response, response_time, likes, place_url, and reviewer_profile_url.
Decision guide
Which alternative should you pick?
Choose official Google routes for owned listings, approved app flows, or compliance-sensitive systems. Choose Apify for hosted runs, datasets, scheduling, and API-triggered jobs. Choose Octoparse when a no-code cloud task matters more than local custody. Choose Outscraper or scraping APIs when engineering wants a vendor endpoint and structured JSON delivery.
Choose open-source scripts when your team can maintain selectors, throttling, retries, proxies, logging, and QA. Scripts are powerful, but a GitHub scraper that works today may need browser patches or DOM updates next month.
Choose UScraper when the job is controlled: known reviewer profile URLs, visible browser access, CSV-first analysis, and a preference for a local desktop app workflow. Start with the reviewer template, then pair it with the how-to guide, broader Google Maps review scraper comparison, or the full template library.
Output check
What good reviewer data should include
Reviewer-profile exports should not stop at review text. For audits, keep profile context and reviewed-place context in the same table.
| Field group | Example columns | Why it matters |
|---|---|---|
| Reviewer profile | username, user_type, level, points, review_count, rating_count | Helps segment Local Guides, heavy reviewers, and sparse profiles |
| Reviewed place | review_shop, shop_address, place_url | Lets you group reviews by business and map repeated place patterns |
| Review content | review_rating, review_time, review_content, likes | Supports sentiment review, timing checks, and content QA |
| Business reply | owner_response, response_time | Shows whether places respond and how quickly visible replies appear |
| Source tracking | reviewer_profile_url | Keeps every row tied to the profile URL used during extraction |
FAQ
Google Maps reviewer scraper FAQ
Use APIs or hosted actors for production pipelines, no-code SaaS for cloud scheduling, scripts for custom engineering control, and UScraper when analysts need a local desktop app workflow that exports visible reviewer-profile rows to CSV.
Next step
Run one reviewer profile before choosing a stack
If your goal is a CSV from public contributor review pages, import Google Maps Reviews Scraper by Reviewer and validate one profile. For hosted scheduling, API contracts, or unattended runs, compare Apify, Octoparse, Outscraper, and scraping APIs against the same field list and policy requirements.