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URL: https://apify.com/getdataforme/chrome-extension-review-scraper

⇱ Chrome Extension Review Scraper Β· Apify


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Chrome Extension Review Scraper

This Apify Actor scrapes comprehensive reviews from Chrome Web Store extensions, delivering valuable insights into user sentiment, ratings, and developer responses for developers and analysts....

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

πŸ‘ GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

36

Total users

4

Monthly active users

3 months ago

Last modified

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Introduction

The Chrome Extension Review Scraper is a powerful Apify Actor designed to extract detailed reviews from Chrome Web Store extension pages. It automates the collection of user feedback, ratings, and developer responses, enabling developers, marketers, and analysts to gain valuable insights into extension performance and user sentiment. By leveraging robust scraping techniques, this tool ensures reliable data extraction while respecting web standards and providing high-quality results for informed decision-making.

Features

  • Comprehensive Review Extraction: Scrapes full review details including reviewer names, ratings, dates, text, helpfulness votes, and developer replies.
  • High Reliability and Accuracy: Utilizes advanced parsing to handle dynamic content and ensure data integrity, minimizing errors in extraction.
  • Proxy Support: Integrates with Apify Proxy for seamless IP rotation, avoiding rate limits and ensuring uninterrupted scraping.
  • Scalable Performance: Processes multiple URLs efficiently, supporting batch operations for large-scale data collection.
  • Flexible Output Formats: Delivers results in JSON, CSV, or Excel, ready for integration into analytics tools or databases.
  • User-Friendly Configuration: Simple input parameters make it easy to customize scraping for specific extensions or review criteria.
  • Error Handling and Logging: Built-in mechanisms to manage failures gracefully, with detailed logs for troubleshooting.

Input Parameters

ParameterTypeRequiredDescriptionExample
urlsarrayYesA list of URLs pointing to Chrome Web Store extension pages from which reviews will be scraped.["https://chromewebstore.google.com/detail/modest-guitar-columns-for/kbdobpkcobapldadlpcjbjijmjnjfddk?hl=en"]
proxyConfigurationobjectNoSpecifies proxy settings to mask the scraper's origin and avoid detection or blocks. Defaults to using Apify Proxy.{"useApifyProxy": true}

Example Usage

To run the Actor, provide input parameters in JSON format. Here's an example:

{
"urls":[
"https://chromewebstore.google.com/detail/ultimate-car-driving-game/aomkpefnllinimbhddlfhelelngakbbn/reviews"
],
"proxyConfiguration":{
"useApifyProxy":true
}
}

The output will be a JSON array of review objects, such as:

[
{
"review_id":"review_1",
"url":"https://chromewebstore.google.com/detail/ultimate-car-driving-game/aomkpefnllinimbhddlfhelelngakbbn/reviews",
"reviewer_name":"Elijah",
"rating":"5 out of 5 stars",
"review_date":"Jan 5, 2026",
"review_text":"Great game! I put it on drift mode, and now, I can crash the car! I am enjoin this game for over 2 hours so far! awesome game!!!",
"helpfulness":"1 person found this review to be helpful",
"developer_reply":null
}
]

Use Cases

  • Market Research: Analyze user sentiment to identify trends and preferences in Chrome extensions.
  • Competitive Intelligence: Compare review data across similar extensions to benchmark performance.
  • Product Feedback: Gather insights for developers to improve extensions based on real user reviews.
  • Content Aggregation: Compile review data for blogs, reports, or dashboards.
  • Academic Research: Study user behavior and feedback patterns in browser extensions.
  • Business Automation: Automate monitoring of reviews for proactive issue resolution.

Installation and Usage

  1. Search for "Chrome Extension Review Scraper" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  4. Click "Start" to begin extraction
  5. Monitor progress in the log
  6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs a JSON array of objects, each representing a single review. Key fields include:

  • review_id: A unique identifier for the review.
  • url: The source URL of the extension page.
  • reviewer_name: The name of the reviewer.
  • rating: The star rating (e.g., "5 out of 5 stars").
  • review_date: The date the review was posted.
  • review_text: The full text of the review.
  • helpfulness: Information on how many users found it helpful.
  • developer_reply: Any response from the developer, or null if none.

This structured format allows for easy parsing and integration into data analysis workflows.

Support

For custom/simplified outputs or bug reports, please contact:

We're here to help you get the most out of this Actor!


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