Example usage ur ldyseo.io

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Process, you can write a Python script to check the index status of each URL. Utilize the Google Search API to send requests to Google and retrieve the search results. You can use the requests library in Python to make HTTP requests to the Google search page and retrieve the HTML response. import requests def check_indexed(url): query = {‘q’: ‘site:’ + url} headers ‘User-Agent’: ‘Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/9 response = requests.get:/in response.text: return True return False def bulk_index_check(urls): indexed_urls =not_indexed_urls =  for url in urls: url = url.strip() is_indexed = check_indexed(url) if is_indexed: indexed_urls.append(url) el.

Not_indexed_urls.append(url) return indexed_urls, not_indexed_urls advanced Phone Number Data seo-modules/faq-schema/’, studyseo.io/deep-dive-to-seo-methodology/’, //studyseo.io/seo-basics/’ ] indexed, not_indexed = bulk_index_check(url_list) printIndexed Pages:” for url in indexed: print(url) print(“\nNot Indexed Pages:”) for url in not_indexed: print(url) Step 3: Parse the Search Results Once you receive the search results, parse the HTML response using a library like BeautifulSoup. Extract the relevant information, such as search result elements or specific markers indicating the presence of your URL within the search results.





Step 4: Analyze Index Status Analyze the extracted information to determine the index status of each URL. You can check if the URL appears in the search results or if specific markers indicate its presence. Based on this analysis, classify each URL as either indexed or not indexed. Step 5: Generate the Report Compile the results into a report that clearly indicates the index status of each URL. This report will help you understand which pages are indexed and which might require further investigation or optimization. Conclusion: Regularly checking the index status of your web pages on.