add-semi-colons
add-semi-colons

Reputation: 18800

BeautifulSoup: extract text from anchor tag

I want to extract:

I successfully manage to extract the img src, but am having trouble extracting the text from the anchor tag.

<a class="title" href="http://www.amazon.com/Nikon-COOLPIX-Digital-Camera-NIKKOR/dp/B0073HSK0K/ref=sr_1_1?s=electronics&amp;ie=UTF8&amp;qid=1343628292&amp;sr=1-1&amp;keywords=digital+camera">Nikon COOLPIX L26 16.1 MP Digital Camera with 5x Zoom NIKKOR Glass Lens and 3-inch LCD (Red)</a> 

Here is the link for the entire HTML page.

Here is my code:

for div in soup.findAll('div', attrs={'class':'image'}):
    print "\n"
    for data in div.findNextSibling('div', attrs={'class':'data'}):
        for a in data.findAll('a', attrs={'class':'title'}):
            print a.text
    for img in div.findAll('img'):
        print img['src']

What I am trying to do is extract the image src (link) and the title inside the div class=data, so for example:

 <a class="title" href="http://www.amazon.com/Nikon-COOLPIX-Digital-Camera-NIKKOR/dp/B0073HSK0K/ref=sr_1_1?s=electronics&amp;ie=UTF8&amp;qid=1343628292&amp;sr=1-1&amp;keywords=digital+camera">Nikon COOLPIX L26 16.1 MP Digital Camera with 5x Zoom NIKKOR Glass Lens and 3-inch LCD (Red)</a> 

should extract:

Nikon COOLPIX L26 16.1 MP Digital Camera with 5x Zoom NIKKOR Glass Lens and 3-inch LCD (Red)

Upvotes: 56

Views: 178473

Answers (8)

Tintin
Tintin

Reputation: 83

soup.find('a', attrs={'class':'class_name'}).text

Upvotes: 0

Leo103
Leo103

Reputation: 871

To get the href out of an anchor tag use tag.get("href") and to get the img src you use tag.img.get("src").

Example, using this data:

data = """
            <div class="image">
            <a href="http://www.example.com/eg1">Content1<img src="http://image.example.com/img1.jpg" /></a>
            </div>
            <div class="image">
            <a href="http://www.example.com/eg2">Content2<img src="http://image.example.com/img2.jpg" /> </a>
            </div>
        """

Get the links and texts:

import requests
from bs4 import BeautifulSoup

def get_soup(url):
    response = requests.get(url)
    if response.ok:
        return BeautifulSoup(response.text, features="html.parser")

def get_links(soup):
    links = []
    for tag in soup.findAll("a", href=True):
        if img := tag.img:
            img = img.get("src")
        links.append(dict(url=tag.get("href"), text=tag.text, img=img))
    return links

# soup = get_soup('www.example.com')
soup = BeautifulSoup(data, features="html.parser")
links = get_links(soup)

Outputs:

[{'url': 'http://www.example.com/eg1', 'text': 'Content1', 'img': 'http://image.example.com/img1.jpg'},
{'url': 'http://www.example.com/eg2', 'text': 'Content2 ', 'img': 'http://image.example.com/img2.jpg'}]

Upvotes: 3

Shah Vipul
Shah Vipul

Reputation: 747

print(link_addres.contents[0])

It will print the context of the anchor tags

example:

 statement_title = statement.find('h2',class_='briefing-statement__title')
 statement_title_text = statement_title.a.contents[0]

Upvotes: 1

daedalus
daedalus

Reputation: 10923

This will help:

from bs4 import BeautifulSoup

data = '''<div class="image">
        <a href="http://www.example.com/eg1">Content1<img  
        src="http://image.example.com/img1.jpg" /></a>
        </div>
        <div class="image">
        <a href="http://www.example.com/eg2">Content2<img  
        src="http://image.example.com/img2.jpg" /> </a>
        </div>'''

soup = BeautifulSoup(data)

for div in soup.findAll('div', attrs={'class':'image'}):
    print(div.find('a')['href'])
    print(div.find('a').contents[0])
    print(div.find('img')['src'])

If you are looking into Amazon products then you should be using the official API. There is at least one Python package that will ease your scraping issues and keep your activity within the terms of use.

Upvotes: 86

Pontios
Pontios

Reputation: 2394

In my case, it worked like that:

from BeautifulSoup import BeautifulSoup as bs

url="http://blabla.com"

soup = bs(urllib.urlopen(url))
for link in soup.findAll('a'):
        print link.string

Hope it helps!

Upvotes: 34

Justin Fay
Justin Fay

Reputation: 2606

I would suggest going the lxml route and using xpath.

from lxml import etree
# data is the variable containing the html
data = etree.HTML(data)
anchor = data.xpath('//a[@class="title"]/text()')

Upvotes: 8

add-semi-colons
add-semi-colons

Reputation: 18800

All the above answers really help me to construct my answer, because of this I voted for all the answers that other users put it out: But I finally put together my own answer to exact problem I was dealing with:

As question clearly defined I had to access some of the siblings and its children in a dom structure: This solution will iterate over the images in the dom structure and construct image name using product title and save the image to the local directory.

import urlparse
from urllib2 import urlopen
from urllib import urlretrieve
from BeautifulSoup import BeautifulSoup as bs
import requests

def getImages(url):
    #Download the images
    r = requests.get(url)
    html = r.text
    soup = bs(html)
    output_folder = '~/amazon'
    #extracting the images that in div(s)
    for div in soup.findAll('div', attrs={'class':'image'}):
        modified_file_name = None
        try:
            #getting the data div using findNext
            nextDiv =  div.findNext('div', attrs={'class':'data'})
            #use findNext again on previous object to get to the anchor tag
            fileName = nextDiv.findNext('a').text
            modified_file_name = fileName.replace(' ','-') + '.jpg'
        except TypeError:
            print 'skip'
        imageUrl = div.find('img')['src']
        outputPath = os.path.join(output_folder, modified_file_name)
        urlretrieve(imageUrl, outputPath)

if __name__=='__main__':
    url = r'http://www.amazon.com/s/ref=sr_pg_1?rh=n%3A172282%2Ck%3Adigital+camera&keywords=digital+camera&ie=UTF8&qid=1343600585'
    getImages(url)

Upvotes: 7

Jon Clements
Jon Clements

Reputation: 142106

>>> txt = '<a class="title" href="http://rads.stackoverflow.com/amzn/click/B0073HSK0K">Nikon COOLPIX L26 16.1 MP Digital Camera with 5x Zoom NIKKOR Glass Lens and 3-inch LCD (Red)</a> '
>>> fragment = bs4.BeautifulSoup(txt)
>>> fragment
<a class="title" href="http://rads.stackoverflow.com/amzn/click/B0073HSK0K">Nikon COOLPIX L26 16.1 MP Digital Camera with 5x Zoom NIKKOR Glass Lens and 3-inch LCD (Red)</a> 
>>> fragment.find('a', {'class': 'title'})
<a class="title" href="http://rads.stackoverflow.com/amzn/click/B0073HSK0K">Nikon COOLPIX L26 16.1 MP Digital Camera with 5x Zoom NIKKOR Glass Lens and 3-inch LCD (Red)</a>
>>> fragment.find('a', {'class': 'title'}).string
u'Nikon COOLPIX L26 16.1 MP Digital Camera with 5x Zoom NIKKOR Glass Lens and 3-inch LCD (Red)'

Upvotes: 1

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