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Automated Online Review Sentiment and Competitor Alerting

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An Apify Python Actor that scrapes recent Amazon and Google product reviews from given URLs, performs sentiment analysis using TextBlob, detects negative review spikes, and outputs daily sentiment trends and alerts in JSON format for brand managers and product teams.

Pricing

from $50.00 / 1,000 results

Rating

0.0

(0)

Developer

Taku Anan

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Features

Scrapes latest reviews from Amazon and Google product pages.
Performs sentiment analysis using TextBlob.
Detects negative review spikes and outputs alerts.
Pushes structured time series sentiment data and alerts conforming to the defined output schema.

Input

Provide a JSON with a list of product URLs (Amazon and Google) to analyze.

Example:

{
  "productUrls": [
    "https://www.amazon.com/dp/B08N5WRWNW",
    "https://www.google.com/search?q=product+reviews"
  ]
}

Output

JSON items with date, product URL, average sentiment, review count, and alerts for negative review spikes.

Usage

Run the Actor on Apify platform or locally in Docker:

$apify run

docker build -t review-sentiment .
docker run review-sentiment

This Actor uses only open-source libraries, no paid APIs, and respects timeouts and data usage rules.

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