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https://github.com/erizoat/amazon-captcha-solving
https://github.com/erizoat/amazon-captcha-solving
amazon amazon-captcha amazon-captcha-solver capsolver captcha captcha-solver captcha-solving funcaptcha funcaptcha-solver imagetotext
Last synced: 19 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/erizoat/amazon-captcha-solving
- Owner: ERIZOAT
- Created: 2024-03-01T07:50:40.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-03-01T08:00:52.000Z (10 months ago)
- Last Synced: 2024-03-02T08:28:00.407Z (10 months ago)
- Topics: amazon, amazon-captcha, amazon-captcha-solver, capsolver, captcha, captcha-solver, captcha-solving, funcaptcha, funcaptcha-solver, imagetotext
- Homepage:
- Size: 154 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# How to Solve Amazon Captcha When Scraping
If you've ever performed any searches on Amazon, you've likely encountered times when you've been asked to enter a CAPTCHA, at which point you may have wondered why this is happening. This is just your personal scenario, however, for most businesses, collecting Amazon data is also critical for entering new markets and for sellers seeking to grow sales. However, as soon as you scale your scrapers from a couple of pages to even tens, CAPTCHAs become your nightmare. In this article, we'll show you a simple, effective way to solve CAPTCHAs while scraping Amazon product data, allowing you to gain a competitive advantage in your industry.
## Understanding Captcha
CAPTCHA stands for Completely Automated Public Turing test to tell Computers and Humans Apart. It is a security measure used by websites to differentiate between real human users and automated bots. CAPTCHAs typically involve presenting users with challenges that are easy for humans to solve but difficult for computers. These challenges can include tasks such as identifying distorted letters or numbers, selecting specific images from a set, or solving simple puzzles. By requiring users to successfully complete a CAPTCHA, websites can ensure that interactions on their platforms are performed by humans and not automated programs.
## Amazon's Captcha Measures against Scraping:
Amazon, a popular e-commerce platform, takes various measures to protect the integrity of its website. It uses Captcha to detect and prevent automated scraping attempts. When scraping Amazon, you may encounter CAPTCHA challenges that need to be resolved before you can access further.Amazon currently has 2 main scenarios for captcha, one is FunCaptcha and one is Imagetotext
![][image_ref_mei2i2mc]
**Funcaptcha** is a type of CAPTCHA technology that was developed by a company called Arkose Labs. Unlike traditional CAPTCHAs, Funcaptcha uses interactive puzzles and games to differentiate between humans and bots. These puzzles are designed to be engaging and fun for humans, but difficult for bots to solve.
![][image_ref_pajk7wwd]
**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's Captchas with CapSolver
[Capsolver](https://www.capsolver.com/), widely used in the market today, is an enterprise level specialized in solving Amazon CAPTCHA, as its high accuracy and fastness are chief in the market. Here are some detailed steps and details to solve Amazon CAPTCHA
### Solving Amazon Funcaptcha
#### Create Task
Create a task with the [createTask](../api-createtask.md) to create a task.
#### Task Object Structure
| Properties | Type | Required | Description |
|--------------------------|--------|----------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| type | String | Required | `FunCaptchaTaskProxyLess` |
| websiteURL | String | Required | Web address of the website using funcaptcha, generally it's fixed value. (Ex: https://google.com) |
| websitePublicKey | String | Required | The domain public key, rarely updated. (Ex: E8A75615-1CBA-5DFF-8031-D16BCF234E10) |
| funcaptchaApiJSSubdomain | String | Optional | A special subdomain of [funcaptcha.com](http://funcaptcha.com/), from which the JS captcha widget should be loaded. Most FunCaptcha installations work from shared domains. |
| data | String | Optional | Additional parameter that may be required by FunCaptcha implementation. Use this property to send "blob" value as a stringified array. See example how it may look like. {"\blob\":\"HERE_COMES_THE_blob_VALUE\"} Learn [how to get FunCaptcha blob data](https://www.capsolver.com/blog/FunCaptcha/funcaptcha-data-blob) |
| proxy | String | Optional | Learn [Using proxies](../api-how-to-use-proxy) |
#### Example Request
``` json
POST https://api.capsolver.com/createTask
Host: api.capsolver.com
Content-Type: application/json
{
"clientKey": "YOUR_API_KEY_HERE",
"task": {
"type":"FunCaptchaTaskProxyLess", //Required
"websiteURL":"", //Required
"websitePublicKey":"", //Required
"data": "{\"blob\": \"flaR60YY3tnRXv6w.l32U2KgdgEUCbyoSPI4jOxU...\"}" // Optional
}
}
```
After you submit the task to us, you should receive in the response a 'Task id' if it's successfull. Please
read [errorCode: full list of errors](https://captchaai.atlassian.net/wiki/spaces/CAPTCHAAI/pages/394062/FuncaptchaTask+solving+FunCaptcha#)
if you didn't receive the task id.
#### Example Response
``` json
{
"errorId": 0,
"status": "idle",
"taskId": "61138bb6-19fb-11ec-a9c8-0242ac110006"
}
```
#### **Getting Result**
Use the [getTaskResult](../api-gettaskresult.md) method to get the recognition results
Depending on the system load, you will get the results within the interval of `1s` to `20s`
#### Example Request
``` json
POST https://api.capsolver.com/getTaskResult
Host: api.capsolver.com
Content-Type: application/json
{
"clientKey": "YOUR_API_KEY",
"taskId": "61138bb6-19fb-11ec-a9c8-0242ac110006"
}
```
#### Example Response
``` json
{
"errorId": 0,
"solution": {
"userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
"token": "3AHJ_q25SxXT-pmSeBXjzScW-EiocHwwpwqtk1QXlJnGnU......"
},
"status": "ready"
}
```
### Solving Amazon Imagetotext
:::
#### Create Task
Create the task with the [createTask](../api-createtask.md).
**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
```text
POST https://api.capsolver.com/createTask
Host: api.capsolver.com
Content-Type: application/json
```
```json lines
{
"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
```json lines
{
"errorId": 0,
"errorCode": "",
"errorDescription": "",
"status": "ready",
"solution": {
"text": "44795sds"
},
"taskId": "2376919c-1863-11ec-a012-94e6f7355a0b"
}
```
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