Google workspace marketplace app review scraper in n8n

Pull public reviews for a specific Google Workspace Marketplace app by its App ID, with reviewer name, star rating, review text, posting date and helpful-vote count, filterable by minimum rating and sort order.

What this workflow does

Import it and n8n runs the Google Workspace Marketplace App Review Extractor by App ID Actor on Apify every day at 08:00 with the starter input below. Each row comes back with review id, app, app id, stars and 7 more; repeats with the same reviewId are dropped. A Google Sheets append is included and stays off until you add your sheet. The only credential it needs is your Apify API token.

Read from the workflow file, built for Google Workspace Marketplace App Review Extractor by App ID version 2.0.1. Updated 2026-11-14.
Google Reviews Runs daily at 08:00

How the rows travel

6 nodes, in the order n8n runs them. The yellow stop is the call to the Apify Actor; the dashed stop is optional.

  1. Daily trigger Schedule trigger
  2. Configure input Code
  3. Run Apify Actor HTTP Request
  4. Normalize + dedupe Code
  5. Rows ready No operation
  6. Google Sheets (optional) Google Sheets, off until you switch it on

Input

The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.

{
  "appIds": [
    "539341275670"
  ],
  "maxItems": 25,
  "maxReviewsPerApp": 3
}
Input settings of Google Workspace Marketplace App Review Extractor by App ID
SettingTypeRequiredDefaultWhat it does
appIds array No – One or more Google Workspace Marketplace apps. Paste numeric App IDs (e.g. 539341275670) or full app URLs. Duplicate IDs are removed automatically.
sortBy string No MostRelevant Most relevant and Most helpful use Google's helpful ranking. Newest uses the date ranking. Highest rated and Lowest rated sort the fetched reviews in the actor; increase Max… One of: MostRelevant, MostHelpful, Newest, HighestRated, LowestRated.
reviewLanguage string No en The Marketplace serves reviews one language at a time. Pick a language for a complete slice, or All languages for the mixed stream the site shows under 'All languages'. 29 choices.
minRating integer No – Only include reviews with this rating or higher (1-5). Leave empty for all ratings.
maxRating integer No – Only include reviews with this rating or lower (1-5). Use 2 to collect complaints only. Leave empty for all ratings.
sinceDate string No – Only reviews posted on or after this date. Use an ISO date (2026-01-01), an ISO datetime, or a relative period such as '30 days', '2 weeks' or '6 months'.
untilDate string No – Only reviews posted on or before this date. Use an ISO date (2026-12-31) or an ISO datetime. A bare date includes the whole day.
reviewKeyword string No – Case-insensitive text that must appear in the review. Useful for complaints, feature names or product terms. Leave empty for all reviews.
maxItems integer No 100 Maximum number of reviews to save across all apps.
maxReviewsPerApp integer No 2000 Maximum reviews to save for any single app. Raise this to scan deeper for sparse filters or rating sorts.

What each row holds

Every field the Actor returns stays in the row (11 in its dataset schema). Normalize + dedupe trims text, drops empty fields, removes repeats with the same reviewId and adds _source and _scrapedAt. The main fields:

Main output fields of Google Workspace Marketplace App Review Extractor by App ID
FieldWhat it is
reviewIdReview ID
appNameApp
appIdApp ID
ratingStars
reviewTextReview
reviewDateDate
reviewerNameReviewer
helpfulCountHelpful
hasDeveloperReplyReply
reviewLanguageLanguage

What the first run costs

With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage.

The Actor lists $0.99 per 1,000 results; its catalogue page breaks the price down by Apify plan. The Apify Free plan includes $5 of usage a month.

The Actor behind it

Google Workspace Marketplace App Review Extractor by App ID: Pull public reviews for a specific Google Workspace Marketplace app by its App ID, with reviewer name, star rating, review text, posting date and helpful-vote count, filterable by minimum rating and sort order.

The same job from an AI agent

The matching agent skill gives Claude Code, Codex, Cursor and other agents the same Actor, input and fields. Install it in one line:

npx skills add https://scraperfinder.com --skill google-workspace-marketplace-app-review-extractor-by-app-id

The google workspace marketplace app review scraper skill, with manual install and run steps

Questions people ask

How do I import this workflow into n8n?

Copy https://scraperfinder.com/n8n/google-workspace-marketplace-app-review-extractor-by-app-id.json. In n8n, open a new workflow, click the three-dot menu, choose Import from URL and paste it. Or download the JSON file and use Import from File; both give the same 6 nodes.

Do I need an Apify account?

Yes. The workflow calls the Google Workspace Marketplace App Review Extractor by App ID Actor through the Apify API with your own token, and each run is billed to your Apify account. The Free plan includes $5 of usage a month.

What does a run cost?

With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage. The Actor's Store page shows the current price.

Can I change what it collects?

Yes: edit the input object in the Configure input node. The Actor takes 10 settings; the table on this page lists each one with its default. Raise maxItems once the first rows look right.

Does it work without Google Sheets?

Yes. The rows wait in the Rows ready node, so you can connect any other node there: a database, Airtable, a webhook or an email. The Google Sheets node is only one option.

Workflow updated 2026-11-14