Chrome Extensions Reviews Scraper

What does Chrome Extensions Reviews Scraper do?

Chrome Extensions Reviews Scraper collects public reviews from Chrome Web Store extension pages. Provide a Chrome Web Store URL or a 32-character extension ID, then choose how many reviews to save and whether to filter by star rating, language, or sort order.

Each dataset item represents one review and can include the review text, rating, reviewer information, dates, helpful votes, language, extension version, and extension metadata when available. Use the results for extension market research, competitor feedback analysis, feature planning, bug discovery, reputation monitoring, and multilingual review studies.

Why use Chrome Extensions Reviews Scraper?

• Research extension feedback - Build a structured dataset from public Chrome Web Store reviews instead of copying individual entries manually.
• Find product opportunities - Study recurring complaints, feature requests, and usability issues across competing extensions.
• Monitor reputation - Track recent ratings and review activity for your own extension or a competitor over scheduled runs.
• Focus the dataset - Collect a specific star rating, filter by language, or sort by recent and helpful reviews.
• Connect results to workflows - Download JSON, CSV, Excel, or other dataset formats, or use Apify API access, webhooks, Google Sheets, Make, and Zapier.

The Actor saves individual review records. The number of records depends on the available public reviews, your filters, results_wanted, and the max_pages limit.

What data can you extract from the Chrome Web Store?

Field	Description
reviewId	Identifier for the review.
authorName	Reviewer's display name when available.
authorAvatarUrl	URL of the reviewer's avatar when available.
rating	Review rating from 1 to 5 stars.
reviewText	Text of the review when published by the source.
createdAt	Review creation date and time when available.
updatedAt	Review update date and time when available.
helpfulCount	Number of helpful votes when available.
extensionVersion	Extension version associated with the review when available.
language	Review language code when available.
extensionId	32-character Chrome extension identifier.
extensionUrl	Chrome Web Store URL for the extension.
extensionName	Extension name when metadata is available.
extensionRating	Overall extension rating when metadata is available.
extensionIcon	Extension icon URL when metadata is available.

Fields that are not published for a particular review or extension may be omitted from that dataset item.

How to use Chrome Extensions Reviews Scraper

1. Open the Actor in Apify Console.
2. Enter a Chrome Web Store extension URL in url, or enter its 32-character ID in extensionId.
3. Set results_wanted and, if needed, max_pages.
4. Optionally choose a star rating, language code, or sort order.
5. Start the run and inspect the dataset preview.
6. Download the results or connect the dataset to your next workflow.

You can use either url or extensionId. At least one of them must be supplied for a useful run. If both are supplied, use matching values for predictable results.

Input Parameters

Parameter	Type	Required	Default	Description
url	String	No*	None	Chrome Web Store extension URL. Supported current and legacy URL formats are described below.
extensionId	String	No*	None	The extension's 32-character alphanumeric ID.
results_wanted	Integer	No	20	Maximum number of review records to save. Minimum: 1.
max_pages	Integer	No	50	Maximum number of review pages to process. Minimum: 1.
star_filter	Integer	No	All ratings	Restrict results to one rating from 1 to 5.
sort_order	Integer	No	2	Review order. Use 2 for recent reviews or 4 for most helpful reviews.
language_filter	String	No	All available languages	Language code such as en, es, or fr.

* Provide either url or extensionId.

Output Data

The Actor returns one dataset item per collected review. Empty values are omitted when the source does not provide them.

Field	Type	Description
reviewId	String	Source review identifier.
authorName	String	Reviewer's name.
authorAvatarUrl	String	Reviewer's avatar URL, when available.
rating	Integer	Star rating from 1 to 5.
reviewText	String	Published review text.
createdAt	String	Review creation timestamp, when available.
updatedAt	String	Review update timestamp, when available.
helpfulCount	Integer	Helpful vote count, when available.
extensionVersion	String	Extension version connected to the review, when available.
language	String	Language code, when available.
extensionId	String	Chrome extension ID.
extensionUrl	String	Full extension page URL.
extensionName	String	Extension display name, when available.
extensionRating	Number	Overall extension rating, when available.
extensionIcon	String	Extension icon URL, when available.

Usage Examples

Basic review collection

Collect up to 50 reviews from a Chrome Web Store extension page:

{
  "url": "https://chromewebstore.google.com/detail/web-to-pdf/pamnlaoeobcmhkliljfaofekeddpmfoh",
  "results_wanted": 50
}

Collection by extension ID

Use the raw 32-character ID when you do not need to provide a full store URL:

{
  "extensionId": "cjpalhdlnbpafiamejdnhcphjbkeiagm",
  "results_wanted": 100,
  "sort_order": 2
}

Find low-rated reviews

Collect one-star reviews and prioritize the most helpful feedback for complaint and bug analysis:

{
  "url": "https://chromewebstore.google.com/detail/adblock-plus/cfhdojbkjhnklbpkdaibdccddilifddb",
  "star_filter": 1,
  "sort_order": 4,
  "results_wanted": 200,
  "max_pages": 50
}

Analyze reviews in one language

Limit the dataset to English-language reviews for a focused regional or multilingual analysis:

{
  "url": "https://chromewebstore.google.com/detail/web-to-pdf/pamnlaoeobcmhkliljfaofekeddpmfoh",
  "language_filter": "en",
  "results_wanted": 200,
  "sort_order": 2
}

Sample Output

The following is one example of a dataset item. Some fields may be absent when the Chrome Web Store does not publish them for a review or extension.

{
  "reviewId": "e24a0fe5-c398-4887-b8af-305f0e2ecec5",
  "authorName": "Sada Haq",
  "authorAvatarUrl": "https://lh3.googleusercontent.com/a-/ALV-UjUm_03mL7povuOvY1Ri6TtxgVzqlyEAgoiVfjYgdozhFMVN1Zs_=s32",
  "rating": 5,
  "reviewText": "Fantastic.",
  "createdAt": "2026-06-21T15:50:00.000Z",
  "updatedAt": "2026-06-21T15:50:00.000Z",
  "helpfulCount": 3,
  "extensionVersion": "3.4.0",
  "language": "en",
  "extensionId": "pamnlaoeobcmhkliljfaofekeddpmfoh",
  "extensionUrl": "https://chromewebstore.google.com/detail/web-to-pdf/pamnlaoeobcmhkliljfaofekeddpmfoh",
  "extensionName": "Web to PDF",
  "extensionRating": 4.79,
  "extensionIcon": "https://lh3.googleusercontent.com/pbdr4AmVTqVi9_78cqjTPcnr-iQxvKxexO8MNOmn2SPXIASw5KXd5V6sKDHXuiuUQRUVeW1_iqUSzlfL5o9ua2VTIw"
}

Tips for Best Results

Use a supported extension reference

You can provide any of these forms:

• Current Chrome Web Store URL: https://chromewebstore.google.com/detail/extension-name/32-character-extension-id
• Legacy Chrome Web Store URL: https://chrome.google.com/webstore/detail/extension-name/32-character-extension-id
• A URL that includes query parameters or a reviews path.
• The raw 32-character extension ID, such as pamnlaoeobcmhkliljfaofekeddpmfoh.

The Actor extracts the extension ID from supported URLs. Check that the ID is complete and that the extension page is publicly available.

Start with a small result limit

Run a test with the default results_wanted value before increasing the limit. Use max_pages as an additional pagination cap. The available number of reviews may be lower than your requested limit, especially when filters are applied.

Choose filters for a clear research question

Use star_filter to isolate praise or complaints, language_filter for a particular audience, and sort_order set to 4 to prioritize reviews marked helpful. The Actor does not have a date-range input. To study a date range, collect the relevant records and filter createdAt after export or in your downstream workflow.

Schedule repeat runs

For reputation or competitor monitoring, schedule daily, weekly, or custom runs in Apify Console. Compare datasets from different run dates to identify new feedback and changes in review activity.

Review missing fields in context

A missing avatar, version, helpful count, date, or extension metadata does not necessarily indicate a failed run. The Chrome Web Store may not publish that value for every review. Check several dataset items and the source page before drawing conclusions.

Integrations

• Dataset downloads - Export results as JSON, CSV, Excel, XML, and other formats supported by Apify.
• Google Sheets - Send review records to a spreadsheet for filtering, tagging, and team analysis.
• API access - Retrieve run datasets programmatically for dashboards, research pipelines, or internal tools.
• Webhooks - Notify another service when a run finishes.
• Make and Zapier - Connect completed runs to alerts, databases, spreadsheets, or other automation steps.
• Scheduling - Refresh review datasets automatically at a chosen interval.

Frequently Asked Questions

Can I collect reviews from any Chrome Web Store extension?

You can collect publicly available reviews from an accessible Chrome Web Store extension by supplying its URL or valid 32-character ID. Results depend on the reviews published and available for that extension.

Can I use both url and extensionId?

Yes, but one input is enough. Use url when you have a store page link and extensionId when you are working from an ID list. If both are supplied, they should refer to the same extension.

How many reviews will the Actor return?

The Actor returns up to the results_wanted limit, subject to available reviews, selected filters, and the max_pages pagination cap. It does not guarantee that every available review can be collected for every extension.

Can I filter reviews by date?

There is no date-range input parameter. Collect reviews and filter the createdAt field after the run using a spreadsheet, data tool, API workflow, or your own application.

Can I filter by rating or language?

Yes. Set star_filter to a value from 1 to 5, or set language_filter to a language code such as en, es, or fr.

What does sort_order control?

sort_order controls the order in which reviews are requested. Use 2 for recent reviews, which is the default, or 4 for most helpful reviews.

Why is a field missing from a record?

Some review and extension attributes are optional because the source may not publish them. The Actor omits empty values from individual records rather than treating every field as guaranteed.

Can I export Chrome Web Store reviews to CSV or Excel?

Yes. After a run, download the dataset in CSV, Excel, JSON, XML, or another available format. You can also connect the dataset to supported integrations or retrieve it through the Apify API.

Can I run the Actor on a schedule?

Yes. Create an Apify schedule to repeat the Actor run daily, weekly, or at another interval that fits your monitoring workflow.

Is collecting Chrome Web Store reviews legal?

Public data collection can be subject to website terms, applicable laws, privacy requirements, and contractual restrictions. Review the Chrome Web Store terms and your local requirements, and use the collected data responsibly. You are responsible for your use of the output.

Related Actors

• Flipkart Reviews Scraper - Collect reviews and ratings from Flipkart product pages.
• AliExpress Reviews Scraper - Collect AliExpress product reviews, ratings, and available feedback images.
• Trendyol Reviews Scraper - Collect reviews and ratings from Trendyol products.
• iHerb Reviews Scraper - Collect iHerb customer reviews and product feedback.

Support

For questions, bug reports, or feature requests, use the Issues tab on the Actor page in Apify or contact the developer through Apify. When reporting a problem, include the input type used, the target extension URL or ID, relevant filters, and the run details if possible.

Legal Notice

This Actor is intended for responsible collection of publicly available Chrome Web Store review data. Users are responsible for complying with Chrome Web Store terms, applicable laws, privacy rules, and any other requirements that apply to their use case. Do not use collected data to violate privacy, impersonate reviewers, or interfere with the source service.