Getting started

How to extract all reviews from Google Maps

Step-by-step methods to pull every public review from a Google Maps business and feed them into the Reviews tab.

Last updated May 3, 2026

On any journey there is a Reviews tab where you can paste customer feedback and let Claude extract pain points, sentiment per stage, persona suggestions, and a strategic summary. The bottleneck is usually the input: Google does not give you a one-click “download all reviews” button. The methods below cover how to get those reviews out of Google Maps and into the textarea, ranked from fastest to most manual.

Method A — Outscraper free tier (recommended for 20+ reviews)

Outscraper is a third-party tool that wraps Google Maps and exports the reviews of any public place as a CSV. The free tier gives you enough credits to test on several businesses before you decide whether to upgrade.

  1. Open outscraper.com and create a free account. No credit card required.
  2. On Google Maps, open the business page and copy the full URL from the browser's address bar.
  3. In the Outscraper dashboard, choose the Google Maps Reviews Scraper task.
  4. Paste the URL in the Queries field. Set Reviews limit per place to 100 (or higher for serious audits).
  5. Optional: filter by language (RO / EN / etc.) and a date range.
  6. Click Run. Wait one to three minutes and download the result as CSV.
  7. Open the CSV, copy the review_text column, and paste it into the Reviews tab textarea in Journey Builder. Click Analyze.

Heads-up: Outscraper is a third-party service unaffiliated with Journey Builder. The free tier is roughly a few hundred reviews; beyond that the cost is around $2–$5 per 1000 reviews. Apify offers a similar “Google Maps Reviews Scraper” actor with comparable pricing.

Method B — Manual extraction (under 20 reviews, no signup)

If you only need a small batch and do not want to depend on a third-party tool, you can copy reviews directly out of Google Maps.

  1. Open Google Maps in a browser and search for the business.
  2. Click the result, then click the X reviews link under the rating.
  3. In the reviews panel, sort by Newest or Most relevant.
  4. Scroll inside the panel until no more reviews load (you will see the same items repeating after two or three seconds of idle scrolling).
  5. Click anywhere inside the panel and press Ctrl+A to select all visible text, then Ctrl+C to copy.
  6. Paste into the Reviews tab textarea. Tip: separate each review with a blank line so Claude groups them as distinct items.

For users comfortable with browser DevTools, an even cleaner alternative is to open the Console on the same panel and run a one-line snippet that prints every review text:

copy([...document.querySelectorAll('.MyEned')].map(n => n.innerText).join('\n\n'))

That copies every loaded review to the clipboard, separated by blank lines. Paste it straight into the Reviews tab.

Method C — Your own business via Google Business Profile

If the business is one you own or manage, log in at business.google.com, open the Reviews tab, and copy the review text manually. Google Business Profile does not offer a CSV export today, but the text selects cleanly so a copy/paste pass is fast.

Other review sources

Reviews tab is source-agnostic. You can paste any structured customer feedback. A few common sources:

  • NPS surveys (Typeform / SurveyMonkey / Google Forms): export the responses as CSV and copy the open-ended comments column.
  • Trustpilot: public reviews can be copied directly from the business page. Customers with a Trustpilot Business plan can use their private API.
  • App stores (App Store / Google Play): use AppFollow's free tier (10 reviews/day) or Sensor Tower for export. For small audits, copy the 20–30 most recent reviews.
  • Email feedback: paste each customer email body as a separate review, separated by blank lines.

What happens after you paste

Tick the AI tasks you want — Extract pain points, Sentiment per stage, Suggest new personas, or Generate insights summary — and click Analyze. Claude returns a separate result block per task that you accept or dismiss with a per-block Apply button.

Each Apply auto-snapshots the journey first (labels like "Before review pain points") so you can roll back from the version history drawer if a result is off-base.

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