Weekly Voice of Customer Digest from G2, Trustpilot, and App Stores

Build me an agent workflow that runs every Monday at 7am ET on a cron trigger and produces a weekly Voice of Customer reputation digest from public product review sites.

Inputs I will configure: a list of product review page URLs (a mix of G2, Trustpilot, Capterra, Apple App Store, and Google Play listings), the Notion database ID for my Voice of Customer database, and the Slack channel ID where the digest should land.

For each URL in the list, the agent should use Browserbase to scrape the reviews. Specifically: call Browserbase Create Session to provision a headless browser session and get its connect URL, then drive that session with Stagehand or Playwright over the returned connect URL to load the review page, dismiss any cookie or login modals, scroll until reviews older than seven days come into view, and extract every review posted in the last seven days. For each review capture the star rating, the date, the reviewer role or company segment when visible (for example job title, company size, industry), and the full review text. When the session is done, call Browserbase Release Session so the session does not sit idle until timeout.

If a given source has zero new reviews in the last seven days, skip it. Do not pad the digest with empty sections.

Once all reviews are collected across sources, use the agent's judgement to cluster them into themes (examples: onboarding friction, pricing complaints, new feature praise, performance issues, support quality). For each theme, pick the two most actionable quotes, with attribution to the source site and reviewer role when available. Also flag any single review that looks like a churn risk or a public escalation, for example a one star review from an enterprise reviewer, a threat to switch tools, or a public callout that could spread.

Write the results to Notion using Create a Page in my Voice of Customer database. The page title should be the week range (for example "Voice of Customer, May 26 to Jun 1, 2026"). Page properties and body should include the overall sentiment for the week, total review count by source, the theme breakdown with quote highlights, and a dedicated section for any churn risk or escalation flags. Keep the structure consistent week over week so entries are comparable.

Then post a short Slack digest using Send a Message to the configured channel. The Slack message should lead with this week's overall sentiment, list the top three themes with one line each, call out any churn risk flags, and link to the new Notion page for full detail. Keep the Slack message scannable, not a wall of text.

Integrations to use: Browserbase (Create Session, Release Session) for scraping the review pages, Notion (Create a Page) for the weekly entry, and Slack (Send a Message) for the digest.

Additional information

What does this prompt do?

Pulls every new review posted in the last seven days from the review sites you choose, including G2, Trustpilot, Capterra, the App Store, and Google Play.
Groups the reviews into clear themes like onboarding friction, pricing complaints, or new feature praise, and picks the two most useful quotes for each theme.
Flags any single review that looks like a churn risk or a public escalation so your team can step in before it spreads.
Saves a structured weekly entry in your Notion Voice of Customer database and posts a short Slack digest linking back to it.

What do I need to use this?

A Browserbase account so the agent can read review pages that block normal scrapers.
A Notion workspace with a Voice of Customer database where the weekly entry should live.
A Slack workspace and a channel where the digest should land each Monday.
The list of review page URLs you want monitored, for example your G2 product page and your Trustpilot listing.

How can I customize it?

Change the day and time the digest runs. Monday at 7am Eastern is the default, but any cadence works.
Add or remove review sources by editing the list of URLs. Skip a source any week it has no new reviews.
Pick which Slack channel gets the digest and which Notion database receives the weekly entry.
Adjust what counts as a churn risk or escalation, for example any one star review from an enterprise account.

Frequently asked questions

Why do I need Browserbase for this?

Sites like G2 and Trustpilot load their reviews with JavaScript and aggressively block plain scrapers. Browserbase runs a real browser in the cloud so the agent can load the page like a normal visitor, scroll through the reviews, and capture details that only appear after the page fully renders.

Will this work with the App Store and Google Play?

Yes. The agent can read public review pages on the App Store and Google Play the same way it reads G2 and Trustpilot. Just include the product URLs in your list of sources.

What does the Notion entry look like?

Each week the agent creates a new page in your Voice of Customer database with the date range, overall sentiment, a breakdown of the top themes, the two best quotes per theme, and any reviews flagged as churn risks.

What if a source had no new reviews that week?

The agent skips it instead of padding the digest. Your Slack message and Notion entry only mention sources that actually had activity, so the digest stays useful.

Can I change the themes the agent uses?

Yes. By default the agent decides themes on its own based on what reviewers actually wrote that week. You can also give it a fixed set of categories to use, like onboarding, pricing, performance, and support.