Chrome Web Store Reviews Scraper & GPT Analyzer 🔍

A tool to extract user reviews from Chrome Web Store extensions and summarize sentiments using GPT to provide insights into user feedback and suggestions.

🎯 Use Cases

• Gather user feedback and insights on Chrome extensions
• Summarize reviews to understand common user sentiments
• Identify user-suggested features and common pain points

✨ Features

Review Extraction

Collect detailed review information including:

• Date of Review
• Content of Review
• Rating
• Reviewer Name

Summary with GPT

Generate summarized insights through categories like:

• Common Complaints and Issues
• User Suggestions and Ideas
• Comments on Cost or Value

🚀 Getting Started

1. Provide Chrome Web Store extension IDs as input.
2. Run the tool to get structured JSON outputs.

💪 Support

For questions or additional feature requests, contact support via Apify's platform.

Input Example

Here's how to structure your JSON input:

1{
2    "extensionIDs": [
3        "dioapkekjoidbacpmfpnphhlobnneadd"
4    ]
5}

Parsing time

Output Sample

Your results will be returned in JSON format, with comprehensive reviews and summarized insights:

1[
2    {
3        "reviews": [
4            {
5                "date": "Mar 9, 2025",
6                "text": "i played this for weeks its a fire game it deserves a 5 star only real gamers would try this",
7                "person": "Adam Rashid",
8                "rating": "5"
9            },
10            ...
11        ]
12    },
13    {
14        "summary": {
15            "pain_anger": [
16                {
17                    "summary": "Several users report issues with gameplay frustration and technical problems.",
18                    "supporting_reviews": [...]
19                }
20            ],
21            "ideas": [
22                {
23                    "summary": "Users suggest new features like more vehicles or expanded maps.",
24                    "supporting_reviews": [...]
25                }
26            ],
27            "money_talk": [
28                {
29                    "summary": "Praised for being free and offers good value.",
30                    "supporting_reviews": [...]
31                }
32            ]
33        }
34    }
35]