How to extract specific content from a PDF using Python?

2 years ago
Liam
2 minutes

To extract specific content from a PDF document, you can utilize some libraries available in Python. Here is an example code using the PyPDF2 library to help you get started with crawling specified content from a PDF.

import PyPDF2

# 打开PDF文件
pdf_file = open('example.pdf', 'rb')

# 创建PDF阅读器对象
pdf_reader = PyPDF2.PdfReader(pdf_file)

# 获取PDF的页数
num_pages = pdf_reader.numPages

# 遍历每一页
for page_num in range(num_pages):
    # 获取当前页的内容
    page = pdf_reader.getPage(page_num)
    page_text = page.extractText()

    # 在当前页中查找指定内容
    if '指定内容' in page_text:
        # 打印页码和内容
        print('Page:', page_num+1)
        print(page_text)

# 关闭PDF文件
pdf_file.close()

In the above code, we firstly open the PDF file to be scraped and create a PDF reader object using the PyPDF2 library. Then, we iterate through each page and extract the text content of each page using the extractText() method. Next, we search for the specific content within the text of each page, and if found, we print the page number and content. Finally, we close the PDF file.

Please note that this is just a basic example, and the actual situation may be more complicated. The specific methods for extracting information may vary depending on the structure and content of the PDF file. Further processing and parsing of the extracted text may be necessary to obtain the desired information.

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