Daily G2 Review Intelligence
Daily G2 Review Intelligence
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Stay ahead of competitor sentiment without lifting a finger. This automation runs on a daily schedule, scrapes the latest G2 reviews for the competitors you specify, parses and structures the content, de-duplicates against your existing archive, then alerts your team in Slack and logs the new reviews to Google Sheets for analysis. It’s a complete, zero-touch competitor listening loop that turns public feedback into actionable intelligence.
How it works
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Daily trigger: Executes automatically each morning.
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Competitor list: A code node defines targets (e.g., zendesk, intercom, dixa) you can edit in seconds.
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Scraping engine: Uses ScrapingBee with premium/stealth proxies and batching to fetch each competitor’s most recent G2 reviews.
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HTML → structured data: Extracts rating, date, review body, reviewer profile and the review permalink; converts review HTML to clean Markdown.
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De-duplication: Joins against your Google Sheet by review URL and only continues for truly new items.
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Team delivery: Sends a formatted Slack notification and appends the new review into Google Sheets.
Business value
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Time saved: Replaces manual site checks and copy/paste with hands-free collection and routing.
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Lowered error risk: Deterministic de-duplication prevents double counting; structured extraction reduces messy data.
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Faster response: Slack alerts mean CS/PMM can react to negative trends or highlight wins immediately.
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Scalable: Batching and proxy options keep the flow stable as you add more competitors.
Ideal for product marketing, customer marketing, RevOps, and leadership teams who need a reliable, centralized view of competitor feedback.
Manually tracking competitor reviews across multiple products can consume 3–6 hours per week for a single marketer or analyst. At blended rates of $60–$100/hour, that’s $720–$2,400/month in time value—before factoring the revenue impact of faster churn-deflection and positioning updates. This build includes scheduled orchestration, proxy-backed scraping, resilient HTML extraction, Markdown normalization, de-duplication against Sheets, and Slack delivery—packaged as a production-ready competitive intelligence pipeline.
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