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How to Scrape Amazon Product Reviews Without Coding?

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Amazon has evolved into the world's largest e-commerce site, offering millions of products and an even greater number of reviews. These reviews provide key insights for businesses, researchers, marketers, and e-commerce sellers. They give excellent insight into customer thought and dealing with product strengths and weaknesses, and these reviews influence buying decisions more than any other factor.

However, manually collecting these reviews can be very tedious. Imagine scrolling through hundreds or thousands of review pages and jotting down information such as reviewer name, star rating, comments, and dates, among other details. It is not only tedious but ultimately prone to human mistakes and wasted data.

It presents an opportunity enabled by no-code scraping. Technological advancements have enabled everyone to access structured Amazon analysis without needing to know programming code. By using intuitive tools such as guided scrapers, APIs, and browser extensions, all large-scale review data can be obtained with a few clicks.

Scraping Intelligence is one of the providers that helps capture Amazon reviews. With the no-code Amazon Review Scraper and APIs, the actual acquisition of real-time, correctly formatted, and structured review data becomes a simple task, eliminating the threats of CAPTCHA, IP blocks, and technical difficulties.

That is why this navigation through Amazon review scraping is so important. This blog will cover why Amazon review scraping is essential, the obstacles it presents, and a step-by-step process for scraping Amazon reviews that doesn't require coding.

Why Scrape Amazon Product Reviews?

Amazon reviews are a treasure trove of customers' insights. Here are some of the ways businesses scrape them:

• Know consumer sentiment and buying habits: How do customers feel about this product? Through sentiment analysis, brands can know whether they feel positively or negatively about a purchase and how they might express that sentiment.
• Track product and competitor insights: Monitoring your own product reviews and those of your competitors will help you become a more effective brand watcher.
• Spot issues and improvement opportunities: If everyone keeps complaining that something is bad, expensive, and that there's no widget in it, then there's your chance to fix it.
• Do market/brand research, optimization:

  Review data is suitable for:
  1. Keyword discovery (SEO)
  2. Listing optimization
  3. Trend forecasting
  4. Marketing campaign optimization

Selling products? Analyze Amazon reviews and get product insights that are second to none.

What Are The Common Challenges in Amazon Review Scraping?

Scraping Amazon reviews isn't quite so simple because Amazon enforces stringent anti-scraping policies on its site. Amazon has a strong desire to protect its data, ensuring fair use, and upholding uniformity for users. Extracting review data can lead to incomplete or poorly formatted datasets, particularly when using outdated scraping scripts.

Dynamic Website Structure

Amazon continually tweaks its page structure and HTML, alongside its actual review format. Even slight changes can lead to trouble with older scrapers or users' custom scripts, as scrapers require frequent maintenance to keep up and extract the correct data.

Anti-Bot Measures & IP Blocking

Amazon monitors traffic behaviour and can identify a user browsing its pages repeatedly. This results in Amazon temporarily blocking the user's IP address, leading to access denials, incomplete pages, or throttled data capture by the user. Therefore, it's challenging to scrape data consistently.

Captchas & Rate Limits

High-volume extractions often require a CAPTCHA that can effectively halt an automated scraping session. Rate limits slow extraction or block requests from users or tools if extraction is repeated in a given window.

Data Inconsistency and Duplication

Poorly configured scrapers may produce noisy extractions or miss reviews. They may repeat the same review or fail to paginate properly. In either scenario, this results in corrupted datasets that require significant manual cleaning before they can be used.

What Are The No-Code Methods to Scrape Amazon Reviews?

You don't need programming knowledge to scrape Amazon reviews. Several no-code tools are available to make the task easy, fast, and intuitive. These three are the best ways to scrape Amazon reviews without writing a single line of code.

Using Graphics-based Web-scraping Tools (no coding)

Graphical web-scraping tools, such as Octoparse, ParseHub, Apify, or Bright Data's free Web Scraper, enable the easy automation of Amazon review extraction through a simple point-and-click user interface. These tools are appropriate for medium-sized scraping jobs.

How This Works Step by Step

1. Pick an Amazon Product URL

Go to the Amazon product page for the item you want to extract reviews from and copy that product's URL.

2. Open your Scraping Tool

Open the no-code scraper you picked, start a new task, and paste that URL into the interface.

3. Configure your workflow

Most tools can detect specific recurring review components independently. Just choose and confirm the fields you want to capture, such as:

• Review title
• Star rating
• Reviewers name
• Review text
• Review date
• Helpful votes
• Verified purchase indicator

4. Run the scraper

The tool will navigate through all your review pages to extract the data and then compile it in the format you choose.

5. Export data

After completion of the process, export your dataset as a CSV, Excel, or JSON file for inspection.

These tools require zero technical knowledge and are perfect for users who want the flexibility without the significant commitment of standard coding.

Using Amazon Review Scraper APIs

The API-based scrape is undoubtedly the best option for collecting Amazon review data. It works best for large scraping jobs or if you need to scrape regularly.

Benefits of API-Based Amazon Review Scraping

• Structured and clean format (CSV, JSON, XML)
• Real-time extraction
• Automatically handle pagination and rate limits.
• No HTML parsing or scraper upkeep
• Accuracy and consistency for enterprise users

Scraping Intelligence offers an Amazon Review Scraper API, designed for users who prefer no-code or low-code solutions. Enter an ASIN or product URL to extract a complete review data set instantly.

This method of extracting Amazon product reviews is designed for businesses that collect hundreds or thousands of reviews simultaneously, or those that want to automate their review collection process on a continuous basis.

Chrome Extensions for Fast Scraping

A browser extension is the best option if you want only a small data sampling and you are scraping fast.

Instant Data Scraper

• Data Miner
• Simple Scraper
• One-click scraping from your browser

Ideal For

• New users are trying data extraction
• Research students
• Occasional scrapers doing a few pages, maybe
• Quickie one-off making a plunge

You open the Amazon product review page, click the extension, and within seconds download the data into a CSV or Excel file.

These three no-code methods make Amazon review scraping as simple as possible for everyone, from beginners to businesses, without the drawbacks of traditional web-scraping.

What Are The Step-by-Step Guide: Scraping Amazon Reviews Without Coding?

No coding required to scrape Amazon product reviews! With no-code tools and APIs available nowadays, the entire process is straightforward enough for even kids. Here's one workflow you can use with any no-code scraping method:

• Choose Your Scraping Tool or API: Decide whether a visual no-code scraping tool, a simple Chrome extension for fast extraction, or the more powerful Scraping Intelligence Amazon Review Scraper API is what you need to extract reviews. Or use any other tool you want.
• Copy the Product or Category URL: Head to Amazon, find the product page you want to scrape reviews from, and copy the URL from your browser's address bar. It is the page from which you will extract reviews.
• Choose and Configure Your Extraction Fields: Set up the fields you want to scrape reviews from. Most tools will allow you to choose fields such as:
  1. Review Name
  2. Rating (1-5)
  3. Review Title
  4. Review Text
  5. Review Date
  6. Verified Purchase Status
  7. ASIN (Amazon Standard Identification Number)
  8. Helpful Vote Count

It provides a comprehensive view of customer sentiments and product performance.

Run the Scraper: Start the scrape! The tool will navigate through all the review pages, extract the fields you selected, and scrape data from multiple review listings without requiring any manual clicks. Cleansed, you are free to use the dataset for analytics, in Excel, Power BI, Python, R, Tableau, or any of the platforms you prefer.

That's it, these simple steps allow anyone to gather Expressive Amazon review data and put it into use, without any complex programming or lines of code.

What Are The Key Data Fields Extracted from Amazon Reviews?

These fields form the basis of most analytics tasks, from sentiment analysis to brand monitoring.

What Are The Benefits of Using Scraping Intelligence's Amazon Review Scraper?

Scraping Intelligence’s Amazon Web Scraping helps those who are looking for Amazon review data without the need of coding skills or technical knowledge. It makes the process easy and saves you time. Here are its main features:

No Coding Needed

You don’t need to be a developer to use it. Just paste the Amazon link or ASIN, choose what data you want, and the tool does the rest. It’s perfect for marketers, eCommerce sellers, and researchers who want clean data without the hassle of manual scraping.

Gather Reviews in Real Time or in Bulk

Whether you need today’s reviews or thousands from the past, the scraper can do both. This is great for tracking product performance over time or analyzing customer opinions on competing products.

Automatic Handling of Captchas and IP Blocks

Scraping Amazon often comes with headaches like captchas and blocked IP addresses. Scraping Intelligence handles this for you automatically, so you don’t have to worry about proxies or rotating IPs.

Advanced Filters to Get Exactly What You Need

You can filter results before extraction to make them more relevant. For example, you can collect:

• Only low-star reviews to see complaints
• Reviews from specific dates
• Verified purchase reviews
• Reviews with certain keywords

This saves you time and keeps your data focused.

Clean, Organized Data Ready for Analysis

The scraper gives you results in Excel, CSV, or JSON formats, making it easy to use with tools like Power BI, Google Sheets, or Python. The data is ready for analysis, with no messy formatting or duplicates.

Scalable for Individuals and Large Teams

Whether you're looking at one product or many across different categories, the scraper is designed to handle it. Market research firms, eCommerce brands, data analysts, and SaaS companies can depend on it for consistent review extraction.

Accurate Results Even When Amazon Changes

Amazon frequently updates its pages, which can disrupt regular scrapers. Scraping Intelligence adjusts to these changes, so you don’t waste time fixing broken scripts or missing data.

In summary, Scraping Intelligence’s Amazon Review Scraper offers fast, accurate, and easy access to Amazon review data. You can gather insights to improve products, understand customer feedback, and make better business decisions without the usual scraping issues.

What Are The Best Practices for Ethical Review Scraping?

When scraping Amazon reviews, it's vital to take an ethical approach that considers legal compliance, user respect, and the sustainability of your scraping. Here are the best practices to follow:

Respect Website Terms of Service

Understand the scraping policies of the websites you plan to target. It prevents inadvertent breaches of terms and helps establish a framework for the honest and lawful use of data.

Scrape Respectfully

Never overwhelm a site with requests. Aggressive scraping can strain databases, overload servers, and compromise network security. Scrapers that honor data requests will keep your hacker sensei safe.

Use APIs or Third-Party Data Providers

Whenever possible, utilize third-party APIs or legal data providers who specialize in this work. Third-party APIs help you scale faster, the right way, while dealing with IP rotation, CAPTCHA, and other problems from scrapers-in-the-wild.

Respect User Privacy

Amazon reviews can contain identifiable info or user data. Handle this with care to avoid targeting individuals; instead, focus on insights, trends, and analytics from a service perspective.

Conclusion

Scraping reviews of Amazon products can be done without needing to know how to program code or having any specialist technical skills - using easy no-code tools and browser extensions, plus some very smart APIs, to scrape even thousands of product reviews in minutes.

Whether you are a seller doing competitor and market research, a brand researching customer sentiment, or a researcher compiling thousands of rows of data, no-code scraping means the job is much easier.

If you want a fully automated way to scrape Amazon reviews at scale, then take a look at Scraping Intelligence.

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Frequently Asked Questions

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