I am trying to scrape image from en eCommerce website using scrapy, but for some of the items(5-10 out of 180) image src output is similar to this -
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8A .
For the rest of the items I get the correct image URL.
Can someone help me with this.
My code is for image src extraction is
image = response.css('.productimage img::attr(src)').extract()
And due to this I am getting an error while downloading the image to my local system.
This
data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8A
actually is image - bytes encoded to string using base64, you might use base64 built-in module to get it as file. Consider following simple example:
import base64
txt = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8A"
content = base64.b64decode(txt.split(',')[-1])
with open('image.png','wb') as f:
f.write(content)
it will create image.png file in current working directory.
This base64 data:
iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8A
It is empty png image (it is not relevat image)
Usually this base64 data occure on e-commerce websites for products which don't have images.
I recommend You to interpret this products with base64.... as products without image.
Related
These are the items which are needed to be extracted from the pdf:
This is the link to the PDF.
Could anyone solve this problem using Python with proper comments to help me understand?
import pdf2image
from PIL import Image
import pytesseract
image = pdf2image.convert_from_path('/content/SRW1012022Y0002378_220216102321.PDF')
for pagenumber, page in enumerate(image):
detected_text = pytesseract.image_to_string(page)
print(detected_text)
I tried the above code snippet, and I can extract all the text from pdf, but I can't grab specific text to continue applying logic to it.
Google images have this weird path element, which when typed into a browser will directly bring you to the image (i.e.
data:image/png;base64,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
brings you to a picture of the Apple company logo). Is there any way to download an image given this link?
Requests and requests_html cannot access this type of path.
this is the base64 encoding of the image. If you just take that as a string and save to disk after decoding base64, it will save correctly as a png.
from this answer:
# your string is
img_data = 'iVBORw0KGgoAAAANSUhEUgAAAM4AAAD1CAMAAAAvfDqYAAAAflB'...
# For both Python 2.7 and Python 3.x
import base64
with open("imageToSave.png", "wb") as fh:
fh.write(base64.decodebytes(img_data))
Convert string in base64 to image and save on filesystem in Python
Those letters and number ARE the image. Literally. It's just base64 encoded.
So one thing you could do is import the base64 library to convert that string into an image which you could then save to disk.
See https://stackoverflow.com/a/37767000/1831109
I am trying to extract an image from the website using python :
relevant command :
import urllib
imagelink = 'http://searchpan.in/hacked_captcha.php?450535633'
urllib.urlretrieve(imagelink, "image.jpg")
using Firefox to view image shows the following.
You could use the following on Python 3. You need to first do a GET request which of-course is abstracted and retrieve the content, writing it to the given filename.
import urllib.request
imagelink = 'https://i.stack.imgur.com/s2F9o.png'
urllib.request.urlretrieve(imagelink, './sample.png')
Reference https://docs.python.org/3/howto/urllib2.html#fetching-urls
The image is png , all you nedd to do is save it as '.png'
Here is the code
import urllib
imagelink = 'http://searchpan.in/hacked_captcha.php?450535633'
urllib.urlretrieve(imagelink, "image.png")
Maybe this on one line?
import urllib.request
urllib.request.urlretrieve("http://searchpan.in/hacked_captcha.php?450535633", "image..jpg")
there must be .jpg or whatever extension for img the website is using u have to give the full url with extension
Extract and Download Image
Go to this link It may be helpfull.
Best of luck...
I'm playing around in python trying to download some images from imgur. I've been using the urrlib and urllib.retrieve but you need to specify the extension when saving the file. This isn't a problem for most posts since the link has for example .jpg in it, but I'm not sure what to do when the extension isn't there. My question is if there is any way to determine the image format of the file before downloading it. The question is mostly imgur specific, but I wouldn't mind a solution for most image-hosting sites.
Thanks in advance
You can use imghdr.what(filename[, h]) in Python 2.7 and Python 3 to determine the image type.
Read here for more info, if you're using Python 2.7.
Read here for more info, if you're using Python 3.
Assuming the picture has no file extension, there's no way to determine which type it is before you download it. All image formats sets their initial bytes to a particular value. To inspect these 'magic' initial bytes check out https://github.com/ahupp/python-magic - it matches the initial bytes against known image formats.
The code below downloads a picture from imgur and determines which file type it is.
import magic
import requests
import shutil
r = requests.get('http://i.imgur.com/yed5Zfk.gif', stream=True) ##Download picture
if r.status_code == 200:
with open('~/Desktop/picture', 'wb') as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)
print magic.from_file('~/Desktop/picture') ##Determine type
## Prints: 'GIF image data, version 89a, 360 x 270'
I'm trying to convert a PDF's first page to an image. However, the PDF is coming straight from the database in a base64 format. I then convert it to a blob. I want to know if it's possible to convert the first page of the PDF to an image within my Python code.
I'm familiar with being able to use filename in the Image object:
Image(filename="test.pdf[0]") as img:
The issue I'm facing is there is not an actual filename, just a blob. This is what I have so far, any suggestions would be appreciated.
x = object['file']
fileBlob = base64.b64decode('x')
with Image(**what do I put here for pdf blob?**) as img:
more code
It works for me
all_pages = Image(blob=blob_pdf) # PDF will have several pages.
single_image = all_pages.sequence[0] # Just work on first page
with Image(single_image) as i:
...
Documentation says something about blobs.
So it should be:
with Image(blob=fileBlob):
#etc etc
I didn't test that but I think this is what you are after.