如何使用pdftotext从url读取pdf

Question

我想阅读两个PDF文件从URL没有下载。然后，我想使用pdftotext提取文本。

import pdftotext


with open("pdf_path1", "rb") as f:
    pdf = pdftotext.PDF(f)

# If it's password-protected
with open("b.pdf", "rb") as f:
    pdf = pdftotext.PDF(f, "secret")

# How many pages?
print(len(pdf))

# Iterate over all the pages
for page in pdf:
    print(page)

# Read some individual pages
print(pdf[0])
print(pdf[1])

# Read all the text into one string
print("\n\n".join(pdf))

如何解决此错误？或者有其他技术可以从URL读取PDF吗？

Answer 1

您可以直接从url打开文件，然后使用urllib.request作为pdf进行操作：

import pdftotext
from urllib.request import urlopen

target_url = "https://arxiv.org/pdf/2012.05439.pdf" #  to change.
file = urlopen(target_url)

pdf = pdftotext.PDF(file) # add password if password protected.

# How many pages?
print(len(pdf))

# Iterate over all the pages
for page in pdf:
    print(page)

# Read some individual pages
print(pdf[0])
print(pdf[1])

# Read all the text into one string
print("\n\n".join(pdf))

Answer 2

您不能阅读一些人PDF在线，它必须是您的副本(所有PDF必须下载)。您的计算机只能处理本地HTML页面及其内容，这是过去的情况，现在仍然是：-

web是如何在一行中工作的(更多的图形方法可用)。

<A HyperRef=HTextTransferProtocol://www.website.html>download to view our BBS pages</a>

curl -o temp.pdf https://arxiv.org/pdf/2012.05439.pdf & pdftotext -layout -f 1 -l 1 temp.pdf -

  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 1318k  100 1318k    0     0   488k      0  0:00:02  0:00:02 --:--:--  488k
                                                                          Scheduling Beyond CPUs for HPC....

​

​