pythonweb-scrapinghttp-status-code-406

Python - Web Scraping Code Error - HTTP Error 406: Not Acceptable


I'm trying to learn basics of Python & I came across this exercise in a book on how to do Web Scraping. I tried to replicate the code but getting this error- "urllib.error.HTTPError: HTTP Error 406: Not Acceptable".

Is there anything wrong with the code?

I'm using Anaconda/VS Code on Windows 10.

Here's my code:

from urllib import request
from bs4 import BeautifulSoup

page_url = 'https://alansimpson.me/python/scrape_sample.html'
rawpage = request.urlopen(page_url)
soup = BeautifulSoup(rawpage, 'html5lib')
content = soup.article

links_list = []
for link in content.find_all('a'):
    try:
        url = link.get('href')
        img = link.img.get('src')
        text = link.span.text
        links_list.append({'url' : url, 'img' : img, 'text' : text})
    except AttributeError:
        pass

And this is the error I'm getting-

Traceback (most recent call last):
  File "c:\Users\srika\OneDrive\AIO_Python\scraper.py", line 6, in <module>
    rawpage = request.urlopen(page_url)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 214, in urlopen
    return opener.open(url, data, timeout)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 523, in open
    response = meth(req, response)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 632, in http_response
    response = self.parent.error(
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 561, in error
    return self._call_chain(*args)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 494, in _call_chain
    result = func(*args)
  File "C:\ProgramData\Anaconda3\lib\urllib\request.py", line 641, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 406: Not Acceptable

I tried to install 'urllib' but it is already installed. Tried to add exception 'urllib.error.HTTPError', but none of them worked.

How do I solve this? Please help!


Solution

  • Error 406 Not Acceptable status code is an error message that means your website or web application does not support the client's request with a particular protocol.

    Add the user agent in headers and try again.

    This is the solution for urllib:

    from urllib.request import Request, urlopen
    from bs4 import BeautifulSoup
    
    page_url = 'https://alansimpson.me/python/scrape_sample.html'
    req = Request(page_url)
    req.add_header('user-agent', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36')
    rawpage = urlopen(req).read()
    soup = BeautifulSoup(rawpage, 'html5lib')
    content = soup.article
    
    links_list = []
    for link in content.find_all('a'):
        try:
            url = link.get('href')
            img = link.img.get('src')
            text = link.span.text
            links_list.append({'url' : url, 'img' : img, 'text' : text})
            print(links_list)
        except AttributeError:
            pass
    

    Output:

    [{'url': 'http://www.sixthresearcher.com/python-3-reference-cheat-sheet-for-beginners/',
      'img': '../datascience/python/basics/basics256.jpg',
      'text': 'Basics'},
     {'url': 'https://alansimpson.me/datascience/python/beginner/',
      'img': '../datascience/python/beginner/beginner256.jpg',
      'text': 'Beginner'},
     {'url': 'https://alansimpson.me/datascience/python/justbasics/',
      'img': '../datascience/python/justbasics/justbasics256.jpg',
      'text': 'Just the Basics'},
     {'url': 'https://alansimpson.me/datascience/python/cheatography/',
      'img': '../datascience/python/cheatography/cheatography256.jpg',
      'text': 'Cheatography'},
     {'url': 'https://alansimpson.me/datascience/python/dataquest/',
      'img': '../datascience/python/dataquest/dataquest256.jpg',
      'text': 'Dataquest'},
     {'url': 'https://alansimpson.me/datascience/python/essentials/',
      'img': '../datascience/python/essentials/essentials256.jpg',
      'text': 'Essentials'},
     {'url': 'https://alansimpson.me/datascience/python/memento/',
      'img': '../datascience/python/memento/memento256.jpg',
      'text': 'Memento'},
     {'url': 'https://alansimpson.me/datascience/python/syntax/',
      'img': '../datascience/python/syntax/syntax256.jpg',
      'text': 'Syntax'},
     {'url': 'https://alansimpson.me/datascience/python/classes/',
      'img': '../datascience/python/classes/classes256.jpg',
      'text': 'Classes'},
     {'url': 'https://alansimpson.me/datascience/python/dictionaries/',
      'img': '../datascience/python/dictionaries/dictionaries256.jpg',
      'text': 'Dictionaries'},
     {'url': 'https://alansimpson.me/datascience/python/functions/',
      'img': '../datascience/python/functions/functions256.jpg',
      'text': 'Functions'},
     {'url': 'https://alansimpson.me/datascience/python/ifwhile/',
      'img': '../datascience/python/ifwhile/ifwhile256.jpg',
      'text': 'If & While Loops'},
     {'url': 'https://alansimpson.me/datascience/python/lists/',
      'img': '../datascience/python/lists/lists256.jpg',
      'text': 'Lists'}]