Pangolin Scrapper – Amazon Data Scraping Plugin, Real-time Scraping of Amazon Entire Site Data with Zero Basis!

This article introduces Pangolin Scraper, an Amazon data scraping plugin that enables real-time scraping of Amazon's entire site data with zero-based knowledge. It explores the generation and value of Amazon's data, the challenges in acquiring and utilizing it, as well as various Amazon data scraping tools available in the market. The article emphasizes the features of Pangolin Scraper, particularly its real-time data scraping capabilities and ease of use.
Pangolin采集器-亚马逊数据采集插件,零基础实时采集亚马逊全站数据!

The key terms of this article are: Amazon data scraping plugin, Pangolin Scraper, scraping Amazon’s entire site data.

Amazon is one of the largest e-commerce platforms globally, with millions of users searching, browsing, and purchasing products on Amazon every day. For Amazon sellers, understanding Amazon data such as keyword rankings, ad placements, sales, reviews, market trends, etc., is crucial for enhancing product competitiveness, optimizing operational strategies, and increasing sales revenue.

However, how is Amazon data generated? What is the value of Amazon data? What are the challenges of Amazon data? What Amazon data scraping tools are available on the market? What are the pros and cons of these tools? This article will answer these questions one by one and introduce you to a new Amazon data scraping tool – the Pangolin Scrapper. It can scrape Amazon entire site data in real-time with zero basis, making your Amazon operations more efficient and precise.

How is Amazon Data Generated?

Amazon data is generated by various modules of Amazon’s search engine, advertising system, recommendation system, review system, etc. When a user enters a keyword on Amazon, the search engine returns a search results page ranked by relevance based on factors such as the user’s search history, geographic location, purchase intent, etc. Each product on this page has a natural ranking, i.e., its position in the search results. Additionally, the page also displays some paid advertising placements, known as Sponsored Products (SP) placements, allocated dynamically by Amazon’s advertising system based on factors like seller bid, click-through rate, conversion rate, etc.

What is the Value of Amazon Data?

Amazon data holds tremendous value for Amazon sellers. By analyzing Amazon data, sellers can:

  • Understand market demand, identify potential products or keywords, and make product selection or category expansion decisions.
  • Understand competitors, identify strengths or weaknesses, and differentiate or optimize products.
  • Understand user behavior, identify preferences or pain points, and conduct marketing or improve services.
  • Understand advertising effectiveness, identify optimal bids or ad placement strategies, and optimize advertising or save costs.
  • Understand product performance, identify product strengths or weaknesses, and make product improvements or enhance quality.

In summary, Amazon data can help sellers make more data-driven decisions, improve product competitiveness, optimize operational strategies, and increase sales revenue.

What are the Challenges of Amazon Data?

Although Amazon data has tremendous value, obtaining and utilizing Amazon data also face some challenges. The main challenges include:

  • Large data volume and dispersion: Amazon data involves millions of products, billions of users, dozens of countries and regions, hundreds of categories and brands, thousands of keywords and ad placements, all constantly changing. Gathering this data requires scraping from different pages and interfaces, dealing with different formats and languages, and managing massive amounts of data.
  • Difficult data scraping, strict data protection: Amazon’s data is not publicly available but requires specific methods to access. For example, scraping search result page data requires simulating user search behavior, scraping product detail page data requires simulating user click behavior, scraping review data requires simulating user scroll behavior. These actions must comply with Amazon’s rules and restrictions; otherwise, they may trigger Amazon’s anti-scraping mechanism, leading to scraping failures or bans. Amazon strictly protects its data and prohibits any unauthorized data scraping or data use that violates Amazon’s policies.
  • Difficult data analysis, challenging to harness data value: Although Amazon data has tremendous value, discovering useful information from the data requires some data analysis skills and business knowledge. For example, analyzing keyword traffic and conversion rates requires some SEO knowledge, analyzing ad placement bids and click-through rates requires some SEM knowledge, analyzing product sales and reviews requires some market research knowledge. These skills are not possessed by every seller and require continuous learning and updating to keep up with Amazon’s changes.

What Amazon Data Scraping Tools are Available?

To address the demand and challenges of Amazon data scraping, several Amazon data scraping tools are available on the market, roughly divided into the following categories:

  • Amazon’s official data scraping tools: These tools are developed and maintained by Amazon itself, mainly including Amazon Seller Central, Amazon Advertising, Amazon Brand Analytics, etc. The advantages of these tools are reliable data sources, high data quality, secure data, and compliance with data usage. However, the disadvantages are limited data volume, single data types, delayed data updates, weak data analysis capabilities, simple data display, and difficult data export.
  • Third-party data scraping tools: These tools are provided by professional data service providers or software developers, mainly including Jungle Scout, Helium 10, Keepa, AMZScout, etc. The advantages of these tools are large data volume, multiple data types, timely data updates, strong data analysis capabilities, beautiful data display, flexible data export, and low data usage costs. However, the disadvantages are unreliable data sources, low data quality, insecure data, and high data usage risks.
  • Self-developed data scraping tools: These tools are developed by some sellers or technical personnel with programming skills, mainly including Python, Selenium, Scrapy, etc. The advantages of these tools are customized data, data flexibility, data control, and data usage freedom. However, the disadvantages are difficult data development, high data maintenance costs, poor data stability, and low data scraping efficiency.

What is Pangolin Scrapper?

From the above introduction, it can be seen that each Amazon data scraping tool has its advantages and disadvantages, and no tool can perfectly meet the needs of all sellers. So, is there a tool that can balance the reliability, real-time, accuracy, ease of use, and security of data? The answer is yes, and that’s the Pangolin Scrapper. The Pangolin Scrapper is based on the powerful Scrape API product.

The Pangolin Scrapper is a real-time monitoring application for Amazon data, which can real-time scrape and monitor various key data, parse it into excel or Josn for easy import or analysis, and is your good helper for real-time monitoring of Amazon data. The Pangolin Scrapper aims to meet the personalized needs of sellers, real-time obtaining, and monitoring the Amazon data of concern, improving market response speed and refined operation.

The core feature of the Pangolin Scrapper is real-time scraping, meaning it can quickly scrape the latest Amazon data for you when you need it, instead of providing historical or delayed data like other tools. The benefits of real-time scraping are obvious; it allows you to promptly understand changes in the Amazon market, adjust your product strategy promptly, seize your opportunities promptly, and improve your sales performance promptly.

Another feature of the Pangolin Scrapper is zero basis, meaning it allows you to use it easily without any programming or data analysis knowledge, unlike other tools that require you to have a certain technical background or learning cost. The advantage of zero basis is obvious; it saves you from complex operations and learning, allows you to focus on your core business, and makes your Amazon operations more efficient and precise.

What are the Features of Pangolin Scrapper?

The Pangolin Scrapper’s features are very simple and easy to use, only a few steps are needed to complete the data scraping task you want:

  • Install the Pangolin Scrapper: The Pangolin Scrapper is a browser extension, supporting Chrome extensions, Edge browsers, and Purple Bird super browsers. You only need to search for the Pangolin Scrapper in the browser’s app store, then click to install, and you can easily add it to your browser.
  • Register the Pangolin Scrapper: The Pangolin Scrapper is a paid application; you need to register an account to use all its functions. You only need to fill in your email and password on the Pangolin Scrapper’s official website (tool.pangolinfo.com) to create an account. We provide 300 free successful request quotas for new registrants, allowing you to experience the powerful functions of the Pangolin Scrapper for free.
  • Use the Pangolin Scrapper: The Pangolin Scrapper is very convenient to use. You only need to open any page of Amazon in your browser, then click the Pangolin Scrapper icon to see the Pangolin Scrapper interface. You can select the data type you want to scrape, enter the keywords or product ID you want to scrape, set the postal area or language you want to scrape, then click to start scraping, and you can immediately see the data scraped by the Pangolin Scrapper in real-time. You can view the details of the data in the interface or export the data in excel or json format for further analysis and use.

What are the Advantages of Pangolin Scrapper?

The Pangolin Scrapper is a new Amazon data scraping tool with unmatched advantages over other tools, including:

  • Reliable data: The data comes directly from Amazon’s official source, ensuring data authenticity and accuracy.
  • Real-time scraping: Fast data scraping speed, tasks typically completed in 3-10 minutes after execution, high data update frequency, ensuring data timeliness and sensitivity.
  • Accurate data: Wide data scraping scope, multiple data scraping dimensions, ensuring data comprehensiveness and meticulousness.
  • User-friendly data: Simple data scraping operation, beautiful data scraping interface, ensuring data convenience and comfort.
  • Secure data: Advanced data scraping technology, legal data scraping rules, ensuring data stability and security.

How to Purchase Pangolin Scrapper?

The Pangolin Scrapper is a paid application, and you need to purchase the corresponding package to use all its functions. We offer a variety of packages to meet your different needs and budgets. You can check the details of the packages on the Pangolin Scrapper’s official website (tool.pangolinfo.com) or contact our customer service. We currently provide 300 free quotas for new registrants. You can first test the powerful functions of the Pangolin Scrapper for free!

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