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Sadhan Sarker
Sadhan Sarker

Posted on • Edited on

Python bypass anti-bot page and scrape it

๐Ÿ”ฐ Today we are going to look an awesome python module, scrapping is fun if you try it previously. Scrapping & Crawling are common names, but they have a bit of difference. Web Crawling is basically what Google & Facebook etc do, it's looking for any information. On the other hand, Scrapping is targeted at certain websites, for specific data, e.g. for product information and price, etc.

Check Development Environment Ready or not

Before moving forward we need to check python is available or not. To do so, Open terminal or command line and hit below command,

python --version Output: Python 2.7.16 Or, python3 --version Output: Python 3.8.0 
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If everything looks good like me, your python version might be different from me. So don't worry about it. If you see not found then install python from here.

Setup Virtual Environment

We need to create Virtual Environment, to avoid python modules, dependency or libraries version conflicting issues. So that we can ensure isolation, each project dependencies or libraries version can be maintained easily.

Open terminal or command line then create a project

๐Ÿ“— macOS Users:-

pip install virtualenv python3 -m virtualenv venv source venv/bin/activate 
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๐Ÿ“— Windows Users:-

pip install virtualenv virtualenv venv srouce venv\Scripts\activate 
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We can see, venv folder will be created. Congratulation successfully we are able to create Virtual Environment

Install required libs or modules

Open Terminal or command line then hit bellow commands,

pip install beautifulsoup4 pip install cfscrape 
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Learn Basic How Scrapping Work

๐Ÿ“— Create app.py file, includes

import cfscrape from bs4 import BeautifulSoup def basic(): # string html code sample  html_text = ''' <div> <h1 class="product-name">Product Name 1</h1> <h1 custom-attr="price" class="product-price">100</h1> <p class="product description">This is basic description 1</p> </div> <div> <h1 class="product-name">Product Name 2</h1> <h1 custom-attr="price" class="product-price">200</h1> <p class="product description">This is basic description 2</p> </div> ''' parsed_html = BeautifulSoup(html_text, 'html.parser') # String to HTML  # parsed_html = BeautifulSoup("https://www.google.com", 'html.parser') # URL to HTML  # parsed_html = BeautifulSoup(open("from_file.html"), 'html.parser') # File to HTML  print(parsed_html.select(".product-name")[0].text) print(parsed_html.select(".product-name")[1].text) print(parsed_html.select(".product.description")[0].text) print(parsed_html.findAll("h1", {"custom-attr": "price"})[0].text) print(parsed_html.find("h1", {"custom-attr": "price"}).text) if __name__ == '__main__': basic() 
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Now, open a terminal and hit below command, python app.py to run that file.

Learn Anti Bot Scraping

๐Ÿ“— Create app.py file, includes

 def anti_bot_scraping(): target_url = "https://www.google.com" # replace url with anti-bot protected website  scraper = cfscrape.create_scraper() html_text = scraper.get(target_url).text parsed_html = BeautifulSoup(html_text, 'html.parser') print(parsed_html) if __name__ == '__main__': anti_bot_scraping() 
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Now, open a terminal and hit below command, python app.py to run that file.

Notes: Please don't misuse this knowledge. I'm sharing it only for learning purposes or fun purposes.

Enjoy, Coding!

๐Ÿ‘Œ Congratulations!. & Thank You!
Feel free to comments, If you have any issues & queries.


References:

Top comments (2)

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berhanu_merga_94214cd0ebc profile image
BLamesa

Bypassing anti-bot systems is one of the toughest parts of web scraping. Between CAPTCHAs, fingerprinting, and rate limits, most basic scrapers just donโ€™t cut it anymore. Iโ€™ve had success with Bright Dataโ€™s Web Unlocker โ€” it automates the whole process and gets past most defenses without constant tweaking.

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yashc1998 profile image
yashc1998

Hey, can you provide me any article or tutorial thoroughly explaining the process and the methods used to bypass these websites?