8/30/2023 0 Comments Website url extractor![]() ![]() The filename for the PDF is derived from the webpage title by replacing any invalid characters with underscores using regular expressions.įinally, a download button is displayed using st.download_button(), allowing the user to download the generated PDF file. The resulting PDF is stored in a BytesIO object. ![]() The reportlab library is used to create a PDF canvas and write the text onto it. Next, a PDF file is generated containing the extracted text. The extracted text is then displayed in a text area using st.text_area(). If a URL is provided, the extract_text_from_website(url) function is called to extract the text and webpage title. First, it checks if a URL has been entered. When the user clicks the “Extract Text” button, the code inside the if st.button("Extract Text"): block is executed. The web interface consists of a title and a text input field where the user can enter the URL of the website they want to extract text from. It uses the streamlit library to create a web interface. The main() function is the entry point of the script. St.error("An error occurred during text extraction.") St.download_button("Download", data=pdf_bytes, file_name=file_name) St.text_area("Extracted Text:", value=extracted_text, height=400)įile_name = re.sub(r'+', '_', webpage_title) + ".pdf" St.success("Text extraction successful!") Url = st.text_input("Enter the URL of the website:")Įxtracted_text, webpage_title = extract_text_from_website(url) The extracted text is processed to remove blank lines and returned along with the webpage title. The BeautifulSoup library is then used to parse the HTML and extract the webpage title and all the text content. It uses the requests library to send a GET request to the specified URL and retrieves the HTML content. This function extract_text_from_website(url) takes a URL as input and returns the extracted text and title of the webpage. Text = "\n".join(line for line in text.splitlines() if line.strip()) Soup = BeautifulSoup(ntent, 'html.parser') Extracting Text from a Website def extract_text_from_website(url): These libraries are used for making HTTP requests, parsing HTML content, creating a user interface, working with PDF files, and manipulating strings. The code begins by importing the necessary libraries. You can install these dependencies using pip: pip install requests beautifulsoup4 streamlit PyPDF2 reportlabĬode Explanation Importing Required Libraries import requests Make sure you have the following libraries installed before running the code: It utilizes several libraries, including requests, BeautifulSoup, streamlit, io, re, PyPDF2, and reportlab. The provided code is a Python script that extracts the text from a website and provides a user interface to interact with the extraction process. Whether you're a researcher, analyst, or simply someone who needs to work with text data on a regular basis, URL Extractor is an excellent tool to have in your toolkit.This app may need some enhancement and may contain errorsįor exemple the text it’s not very well parsed in the pdf Documentation: Website Text Extractor It's free to use and is an essential tool for anyone working with large blocks of text or data that contain URLs. URL Extractor is a simple but powerful tool that allows users to easily extract URLs from a block of text. By extracting URLs from text data, researchers and analysts can more easily identify trends and patterns in their data, which can help them to draw more accurate conclusions and make more informed decisions. In addition to its practical uses, URL Extractor is also a valuable tool for researchers and data analysts who need to work with large amounts of text data. For example, you may want to use URL Extractor to extract URLs from a list of links or to compile a list of URLs for a specific project. It allows users to easily extract URLs from documents or sentences, which can be useful for a variety of purposes. URL Extractor is an important tool for anyone working with large blocks of text or data that contain URLs. There is no need to create an account or pay any fees to use it. Yes, URL Extractor is a free web tool offered by 10Web.Tools. The tool will then generate a list of all the URLs that were found in the text. To use URL Extractor, simply visit the tool's website at and enter the text that you want to process into the provided text field. A URL is a web address that specifies the location of a particular resource on the internet, such as a webpage or an image. URL Extractor is a tool that allows users to extract URLs (Uniform Resource Locators) from a block of text. Whether you have a large document with multiple URLs scattered throughout or simply want to extract URLs from a sentence, URL Extractor makes it quick and easy to get the job done. URL Extractor is a free web tool offered by 10Web.Tools that allows users to easily extract URLs from a block of text. ![]()
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