Twitter Scraper for Usernames, Bios, Follower Count, and Linked Websites
Budget: $10 – $30 USD
Description:
I am in need of a skilled developer who can create a Twitter scraper capable of gathering data from user profiles based on specific keywords present in their bios. The primary keywords of interest include ".ai" and "llm". The scraper should be able to extract the following information from each profile:
Username: The unique Twitter handle of the user.
Profile Link: Direct URL link to the user's profile.
Bio: The user's bio text, containing the specified keyword.
Follower Count: The number of followers the user has.
Linked Websites: Any websites or URLs linked in the user's profile, if available.
The scraper should efficiently collect this data from Twitter profiles and compile it into a structured format for further analysis. Additionally, it should be able to handle a large volume of profiles and operate reliably.
If you have experience in developing Twitter scrapers or similar web scraping projects, please reach out and let me know your capabilities. I am open to discussing any technical details or specifications to ensure that the scraper meets the requirements effectively.
Please provide information on your previous experience with web scraping and any relevant projects you have completed. Also, let me know if you have any questions or suggestions regarding the project scope.
Looking forward to collaborating with a skilled developer who can deliver quality results in a timely manner.
Thank you for your interest!
I am in need of a skilled developer who can create a Twitter scraper capable of gathering data from user profiles based on specific keywords present in their bios. The primary keywords of interest include ".ai" and "llm". The scraper should be able to extract the following information from each profile:
Username: The unique Twitter handle of the user.
Profile Link: Direct URL link to the user's profile.
Bio: The user's bio text, containing the specified keyword.
Follower Count: The number of followers the user has.
Linked Websites: Any websites or URLs linked in the user's profile, if available.
The scraper should efficiently collect this data from Twitter profiles and compile it into a structured format for further analysis. Additionally, it should be able to handle a large volume of profiles and operate reliably.
If you have experience in developing Twitter scrapers or similar web scraping projects, please reach out and let me know your capabilities. I am open to discussing any technical details or specifications to ensure that the scraper meets the requirements effectively.
Please provide information on your previous experience with web scraping and any relevant projects you have completed. Also, let me know if you have any questions or suggestions regarding the project scope.
Looking forward to collaborating with a skilled developer who can deliver quality results in a timely manner.
Thank you for your interest!