Is it possible to use jsoup to scrape data from PDFs or other non-HTML content?

No, jsoup cannot be used to scrape data from PDFs or other non-HTML content. jsoup is a Java library designed specifically for parsing HTML documents and extracting data from them using DOM, CSS, and jQuery-like methods. It is not capable of interpreting or parsing the content of PDF files or other document formats that are not structured as HTML.

To scrape data from PDFs in Java, you can use libraries such as Apache PDFBox or iText. These libraries are designed to work with PDF files and provide functionalities to extract text and other content from them.

Here's a simple example of how you could use Apache PDFBox to extract text from a PDF file in Java:

import org.apache.pdfbox.pdmodel.PDDocument;
import org.apache.pdfbox.text.PDFTextStripper;

import java.io.File;
import java.io.IOException;

public class PDFTextExtractor {
    public static void main(String[] args) {
        // Load the PDF file
        try (PDDocument document = PDDocument.load(new File("example.pdf"))) {
            // Instantiate PDFTextStripper class
            PDFTextStripper pdfStripper = new PDFTextStripper();
            // Retrieve text from PDF
            String text = pdfStripper.getText(document);
            // Print extracted text
            System.out.println(text);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

To scrape data from non-HTML content using Python, you can use libraries such as PyPDF2 or pdfminer.six for PDFs, python-docx for Word documents, or openpyxl for Excel spreadsheets.

Here's an example of how you can use PyPDF2 to extract text from a PDF file in Python:

import PyPDF2

# Open the PDF file
with open('example.pdf', 'rb') as file:
    # Create a PDF reader object
    pdf_reader = PyPDF2.PdfFileReader(file)
    # Get the number of pages in the PDF
    num_pages = pdf_reader.numPages
    # Initialize a string to store all extracted text
    all_text = ''

    # Iterate through all the pages
    for page_num in range(num_pages):
        # Get a specific page
        page = pdf_reader.getPage(page_num)
        # Extract text from the page
        text = page.extractText()
        # Append extracted text to the all_text string
        all_text += text

    # Print all extracted text
    print(all_text)

When working with non-HTML content, it's important to choose the right tool or library that is designed for the specific content type you're dealing with. Each content type, such as PDFs, Word documents, Excel spreadsheets, etc., has its own structure and requires a specialized parser to extract data effectively.