Free proxy list usa
#Free proxy list usa code#
Resulting DataFrame stored in df: IP Address Port Code Country Anonymity Google Https Last CheckedĠ 2.50.154.155 53281.0 AE United Arab Emirates elite proxy no yes 6 seconds agoġ 134.249.165.49 53281.0 UA Ukraine elite proxy no yes 6 seconds agoĢ 158.58.133.106 41258.0 RU Russian Federation elite proxy no yes 6 seconds agoģ 92.52.186.123 32329.0 UA Ukraine elite proxy no yes 6 seconds agoĤ 178.213.0.207 35140.0 UA Ukraine elite proxy no yes 6 seconds agoĢ96 93.185.96.60 41003.0 CZ Czech Republic elite proxy no yes 22 minutes agoĢ97 1.20.103.248 52574.0 TH Thailand elite proxy no yes 22 minutes agoĢ98 190.210.8.92 8080.0 AR Argentina elite proxy no yes 22 minutes agoĢ99 166.150.32.182 56074.0 US United States elite proxy no yes 22 minutes ago
I have had success scraping using the pandas.read_html function import requests Headers = ]Īn alternative to BeautifulSoup that you could use is pandas. It is generally best to use a parser such as BeautifulSoup to extra data from html rather than regular expressions because it is very difficult to reproduce BeautifulSoup's acturacy however, you can try this with pure regex: import re