Add Browser agent

README.md

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+# WebScrape

main.py

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+import requests
+from bs4 import BeautifulSoup
+from urllib.parse import urlparse, urlunparse
+import pandas as pd
+
+def scrape_headings(url):
+    try:
+        # Check if the URL has a scheme (http/https), and add one if missing
+        parsed_url = urlparse(url)
+        if not parsed_url.scheme:
+            url = urlunparse(('http',) + parsed_url[1:])
+
+        headers = {
+            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
+        }
+
+        # Send an HTTP GET request to the specified URL
+        response = requests.get(url, headers=headers)
+
+        # Check if the request was successful
+        if response.status_code == 200:
+            # Parse the HTML content using BeautifulSoup
+            soup = BeautifulSoup(response.text, 'html.parser')
+
+            # Find all the heading elements (h1, h2, h3, etc.)
+            headings = soup.find_all(['h1', 'h2', 'h3', 'h4', 'h5', 'h6'])
+
+            # Extract the result of headings with their types
+            heading_data = [{"Heading Type": heading.name, "Text": heading.text.strip()} for heading in headings]
+
+            # Convert to DataFrame and save to CSV
+            df = pd.DataFrame(heading_data)
+            df.to_csv('output.csv', index=False)
+
+        else:
+            print(f"Failed to retrieve content from {url}. Status code: {response.status_code}")
+
+    except Exception as e:
+        print(f"An error occurred: {str(e)}")
+
+
+
+def main():
+    url = input("Enter the URL: ")
+    scrape_headings(url)
+    # df = pd.DataFrame(scrape_headings(url))
+    search_again = input("Do you want to search again? y/n:").lower()
+    if search_again == 'y':
+        # df.to_csv('output.csv')
+        main()
+    else:
+        # df.to_csv('output.csv')
+        exit()
+
+if __name__ == "__main__":
+    main()