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| import utils as utils | |
| import streamlit as st | |
| from io import StringIO | |
| from datetime import datetime, date | |
| def dataframe_to_csv_download(dataframe): | |
| # Convert the DataFrame to a CSV string | |
| csv = dataframe.to_csv(index=False) | |
| csv_bytes = csv.encode('utf-8') | |
| # Create a buffer to hold the CSV string in bytes | |
| buf = StringIO() | |
| buf.write(csv) | |
| buf.seek(0) | |
| today = datetime.now().strftime("%Y-%m-%d %H:%M") | |
| # Create a download button in the Streamlit app | |
| st.download_button( | |
| label="Download CSV File", | |
| data=csv_bytes, | |
| file_name=f"ScrappedData_{today}.csv", | |
| mime="text/csv", | |
| ) | |
| if __name__=='__main__': | |
| st.title('LinkedIn Job Scraper') | |
| st.write('This app scrapes LinkedIn for job listings.') | |
| url = st.text_area("Enter the url here..") | |
| if st.button("Get Records") and url: | |
| with st.spinner("Scrapping the given URL"): | |
| scrap_df = utils.scrap_data(url) | |
| st.dataframe(scrap_df) | |
| dataframe_to_csv_download(scrap_df) | |
| st.write('') |