Track Amazon price drops and analyze sentiment automatically

Scrapes Amazon price-drop listings, summarizes them, and scores customer sentiment, saved into a spreadsheet.

How the work actually flows

A straight line. Runs once per each scraped product listing.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("process started on demand")):::human s0["scrape price drop listings"]:::svc s1[["structure product fields"]]:::mi s2["summarize and score sentiment"]:::task s3[("save results to spreadsheet")]:::store trig --> s0 s0 -->|"one per each scraped product listing"| s1 s1 --> s2 s2 --> s3 out[/"spreadsheet of scored price drops"/]:::out pay{{"pricing trends tracked at scale"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Spreadsheet & Database OpsReporting & AnalyticsResearch & Market IntelligenceSurvey & Feedback
Connects
Google SheetsGoogle GeminiBright Data

The problem it solves

Tracking competitor price drops and how customers react to them means manually browsing deal sites and reading through reviews. Doing this by hand doesn't scale, and it's easy to miss an important pricing trend or shift in sentiment.

Who it fits

Ecommerce analysts, brand managers, or affiliate marketers tracking Amazon pricing trends.

How it works

  1. The process starts on demand
  2. A price-drop listing site is scraped for Amazon products
  3. Product details are structured into clean fields like title, price, and discount
  4. AI summarizes the data and scores customer sentiment
  5. Results are saved into a spreadsheet
What you get

Pricing trends and sentiment surfaced automatically

You get Amazon price-drop listings automatically summarized with customer sentiment scored, organized neatly in a spreadsheet.

What you get

A spreadsheet of structured Amazon price-drop data with AI-generated summaries and sentiment scores.

What you need

A web-scraping API account (Bright Data) and a Google account for Sheets and Gemini.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Track what people on Reddit really think about your topic

Pulls Reddit posts and comments on a topic, sorts sentiment automatically, and logs the results to Google Sheets.

Advanced

Research and compare startups by keyword automatically

Finds recent startups matching a keyword, has AI compare them, and saves the results to a spreadsheet.

Advanced

Analyze Reddit comment sentiment automatically with AI

Paste a Reddit post link and the system reads every comment, scoring sentiment straight into a spreadsheet.

Advanced

Turn search results into structured data in Google Sheets

It runs a search, uses AI to pull out clean details like titles, sources, and summaries, and saves them to a spreadsheet.

Advanced
Back to the AI Playbook