Amazon Reviews Scraper Actor

What is Amazon Reviews Scraper actor?

The Amazon Reviews Scraper Actor is an advanced, efficient tool tailored for effortlessly extracting customer reviews from Amazon. It's engineered to rapidly collect reviews, ratings, user comments, and associated images from any product listed on Amazon, across all its global marketplaces.

Key features

• 🌐 Global Review Extraction: Capable of retrieving reviews for any Amazon product, regardless of the country or marketplace.
• 📊 Comprehensive Data Collection: Gathers all user comments, ratings, and scores, providing a holistic view of customer feedback.
• 📝 Product Details Access: Automatically includes product specifications and related information alongside reviews.
• 🖼️ Image Retrieval: Efficiently collects user-submitted images from reviews, offering visual feedback and enhancing analysis.
• ⚡ High-Speed Performance: Optimized for fast data retrieval, ensuring quick access to vast amounts of review data.

Use Cases | Who Can Use Amazon Reviews Scraper

• Market researchers and analysts to dive deep into consumer sentiment and product performance across various categories.
• E-commerce entrepreneurs to gauge product viability and customer satisfaction levels for better inventory decisions.
• Brand managers to monitor brand reputation and product feedback, ensuring timely responses to customer concerns.
• Product developers to refine product features or address issues highlighted in customer feedback.
• SEO and content marketers to identify popular products and trends for creating targeted content strategies.

Input

When you want to scrape over the reviews from a specific URL, just copy and paste the link as one of the startUrls.

If you would like to scrape only the first page of the reviews list then put the link for the page and have the endPage as 1.

With the last approach that is explained above you can also fetch any interval of pages. If you provide the 5th page of a list and define the endPage parameter as 6 then you'll have the 5th and 6th pages only.

Input Parameters Explained

The input of this scraper should be JSON containing the list of pages on Amazon that should be visited. Required fields are:

• startUrls: (Optional) (Array)

  List of Amazon URLs. You should only provide a product, or product reviews list URLs.

• endPage: (Optional) (Number)

  Final number of page that you want to scrape. The default is Infinite. This applies to all search requests and startUrls individually.

• maxItems: (Optional) (Number)

  You can limit scraped items. This should be useful when you search through the big lists or search results.

• proxy: (Required) (Proxy Object)

  Proxy configuration.

• extendOutputFunction: (Optional) (String)

  A function that takes a JQuery handle ($) as an argument and returns an object with data.

• customMapFunction: (Optional) (String)

  A function that takes each object's handle as an argument and returns the object with executing the function.

This solution requires the use of Proxy servers, either your own proxy servers or you can use Apify Proxy.

Amazon Reviews Scraper Input Example

1{
2    "startUrls":[
3        "https://www.amazon.com/Clorox-30966-Concentrated-Regular-Bleach/dp/B07HXTYS1W/ref=sr_1_3?crid=ZT0PLQMYO4WP&keywords=clorox&qid=1702901115&sprefix=cl%2Caps%2C278&sr=8-3",
4        "https://www.amazon.com/Clorox-30966-Concentrated-Regular-Bleach/product-reviews/B07HXTYS1W/ref=cm_cr_dp_d_show_all_btm?ie=UTF8&reviewerType=all_reviews"
5    ],
6    "proxy": {
7        "useApifyProxy": true
8    },
9    "endPage": 5,
10    "maxItems": 100
11}

Compute Unit Consumption

The actor is optimized to run blazing fast and scrape as many items as possible. Therefore, it forefronts all the detailed requests. If the actor doesn't block very often it'll scrape 100 listings in 2 minutes with ~0.02-0.04 compute units.

During the Run

During the run, the actor will output messages letting you know what is going on. Each message always contains a short label specifying which page from the provided list is currently specified. When items are loaded from the page, you should see a message about this event with a loaded item count and total item count for each page.

If you provide incorrect input to the actor, it will immediately stop with a failure state and output an explanation of what is wrong.

Amazon Export

During the run, the actor stores results into a dataset. Each item is a separate item in the dataset.

You can manage the results in any language (Python, PHP, Node JS/NPM). See the FAQ or our API reference to learn more about getting results from this Amazon Reviews actor.

Bugs, fixes, updates, and changelog

This scraper is under active development. If you have any feature requests you can create an issue from here.

Output

The structure of each item in Amazon Reviews looks like this:

1{
2	"id": "R3T33DVY3SW7K0",
3	"type": "review",
4	"score": 5,
5	"title": "Gel limpiador",
6	"url": "https://www.amazon.com/gp/customer-reviews/R3T33DVY3SW7K0?ASIN=B0060OMXUA",
7	"helpfulCount": "",
8	"dateAndLocation": "Reviewed in the United States on October 7, 2023",
9	"description": "Tengo piel mixta, no cualquier jabón es adecuado para mi piel. Sin duda alguna es el mejor.",
10	"isVerified": true,
11	"specs": {
12		"Size": "3.38 Fl Oz (Pack of 1)"
13	},
14	"images": [
15		"https://m.media-amazon.com/images/I/71I2uKJEJeL.jpg"
16	]
17}

FAQ

Can I extract reviews from multiple products at once?
Yes, Amazon Reviews Scraper supports batch processing, allowing the extraction of reviews from multiple products simultaneously. 🔄

Is there a limit to the number of reviews I can scrape?
While there's technically no limit, users can set parameters to manage the scope of data according to their project needs. 📏

How do I handle data from different Amazon regions?
The scraper supports all Amazon TLDs, enabling users to specify the region for targeted review extraction. 🌍

Can I do my research by using just keywords with Amazon Reviews Scraper?
If you need to start with keywords, you can check our Amazon Scraper product. It provides more comprehensive data gathering. 🔍

Contact

Please visit us through epctex.com to see all the products that are available for you. If you are looking for any custom integration or so, please reach out to us through the chat box in epctex.com. In need of support? devops@epctex.com is at your service.