CAPSOLVER

Best Amazon Captcha Solver when Scraping Amazon

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Sora Fujimoto

AI Solutions Architect

01-Mar-2024

Amazon is a prominent e-commerce platform that offers a vast amount of valuable data. This data encompasses various aspects, including product details, pricing information, customer feedback, and emerging trends. Accessing and analyzing this data can be beneficial for sellers monitoring competitors, researchers studying market trends, and consumers making informed purchasing decisions. In this tutorial, we will introduce CapSolver's solution, which can significantly expedite the scraping process.

Consider Using CapSolver to Scrape Amazon

When it comes to scraping large amounts of data from Amazon, manual web scraping can be time-consuming and inefficient, especially as the scale of the task increases. To streamline the process and extract extensive data from Amazon, CapSolver is a recommended solution.

CapSolver offers an efficient and effective way to scrape Amazon by solving CAPTCHAs and automating the data extraction process. With its advanced capabilities, CapSolver can navigate through dynamic sites like Amazon, effortlessly handling JavaScript, AJAX requests, and other complexities that arise during scraping.

Alternatively, if you require structured Amazon data promptly, such as product listings, reviews, or seller profiles, CapSolver provides access to its curated Amazon dataset. This dataset allows you to download and access pre-extracted, high-quality data directly from the CapSolver platform.

By leveraging CapSolver for scraping Amazon, you can significantly enhance the efficiency and accuracy of your data collection efforts. Whether you choose to automate the scraping process or utilize the curated dataset, CapSolver offers a comprehensive solution tailored to your specific needs.

Image-to-text, also known as optical character recognition (OCR), is a technology that converts printed or handwritten text within an image into machine-readable text. It involves using algorithms and computer vision techniques to analyze the visual patterns and structures of characters in an image and translate them into editable and searchable text.

Solving Amazon Imagetotext

:::

Create Task

Create the task with the createTask.

Task Object Structure

Note that this type of task returns the task execution result directly after createTask, rather than getting it
asynchronously through getTaskResult.

Properties Type Required Description
type String Required ImageToTextTask
websiteURL String Optional Page source url to improve accuracy
body String Required base64 encoded content of the image (no newlines) (no data:image/*; base64, content
module String Optional Specifies the module. Currently, the supported modules are common and queueit
score Float Optional 0.8 ~ 1, Identify the matching degree. If the recognition rate is not within the range, no deduction
case Boolean Optional Case sensitive or not

Example Request

POST https://api.capsolver.com/createTask
Host: api.capsolver.com
Content-Type: application/json
{
  "clientKey": "YOUR_API_KEY",
  "task": {
    "type": "ImageToTextTask",
    "websiteURL": "https://xxxx.com",
    // You can choose the module you need to use
    // ocr single image model, default common
    "module": "queueit",
    // base64 encoded image
    "body": "/9j/4AAQSkZJRgABA......"
  }
}

Example Response

{
  "errorId": 0,
  "errorCode": "",
  "errorDescription": "",
  "status": "ready",
  "solution": {
    "text": "44795sds"
  },
  "taskId": "2376919c-1863-11ec-a012-94e6f7355a0b"
}

Compliance Disclaimer: The information provided on this blog is for informational purposes only. CapSolver is committed to compliance with all applicable laws and regulations. The use of the CapSolver network for illegal, fraudulent, or abusive activities is strictly prohibited and will be investigated. Our captcha-solving solutions enhance user experience while ensuring 100% compliance in helping solve captcha difficulties during public data crawling. We encourage responsible use of our services. For more information, please visit our Terms of Service and Privacy Policy.

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