Summary
- Long-tail keywords are valuable for targeted traffic and can be found using Google’s autocomplete feature.
- This feature provides a list of suggested searches based on partial user queries.
- While Google does not provide a public Autocomplete API, you can still scrape autocomplete suggestions using Python’s requests library.
- The ‘get_autocomplete_suggestions’ function constructs the endpoint URL and fetches suggestions for a given query.
- The ‘scrape_long_tail_keywords’ function iterates through letters and numbers to generate long-tail suggestions for a base keyword.
- Combining these suggestions with a base keyword can generate a list of diverse and relevant long-tail keywords.
- By automating this process, you can save time and uncover emerging trends and niche opportunities.
- To avoid errors, implement pauses, spoof user agents, and use proxies as needed.
- Respect Google’s terms of service and use this technique responsibly.
By sarikazdubey
Original Article