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Website url extractor9/21/2023 ![]() Ensure that the required dependencies are installed. ![]() This conditional statement checks whether the script is being run directly (as opposed to being imported as a module) and calls the main() function to start the web interface. If any errors occur during the text extraction process, appropriate error messages are displayed using st.error() and st.warning(). 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. here you can see the social network links the site is linking toģ.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 Link extractor tool can find links to social networks? Yes, you just need to enter the website address and see the results of external links in the "External Links Only" Tab. A list of links will appear below, then you select the " Internal Links Only" Tab and see the results are the links in the website you enter.Ģ. How can i internal link extractor in website? First you copy a website address and paste it into the input form and then click "Link Extractor".
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