This is Jay Patel here, creator of Twitter bio scraper tool. We created this tool specifically to help us find new prospects and identify influencers. We looked far and wide for a no frills Twitter bio exporter/scraper tool that just lets us export multiple fields. We wanted to get this information from public webpages only (no login required) and 100% on cloud. Our tool does everything mentioned above, and it also scrapes fields listed below so that you can find the ideal users easily without clicking through bunch of pages. Information contained in the CSV. Name: Name of the Twitter account. Username: Username of the Twitter account. Twitter Joined Date (UTC): Date of Twitter account creation. Verified or Non-verified: Whether the Twitter account is verified or not. Bio: Bio of the Twitter account which is mentioned in its Twitter profile. Location: Location which is mentioned by the Twitter account. Website: URL of website mentioned by the Twitter user. Tweets Count: Number of tweets posted by the Twitter account. Following Count: Number of Following of the Twitter account. Followers Count: Number of Followers of the Twitter account. Likes Count: Number of tweets which are liked by the Twitter account. Profile URL: URL of the Twitter account’s profile. Email: email address of the user (if mentioned in author bio). You can test our tool through our free plan (https://www.specrom.com/twitter-...) to test out all the features. FOR A LIMTED TIME, we are running a promotion called growth hacker bundle where where you can get 1 year access to over 13 scraper tools like all types of Twitter scrapers, Instagram scrapers, Google SERP scraper, Email crawlers, news scrapers for $99 (https://www.specrom.com/twitter-...) Contact me for any questions and get our tool today! Jay patel.jay@specrom.com

We just released v2 of the product. Now you also get basic analytics data so that you can filter the CSV to find influencers or highly engaged Twitter users. The new columns included are: follower_following_ratio: A ratio of number of followers to number of people you are following. Typically, an influencer should have more followers then number of accounts being followed; aka ratio of lower than 1. Successful (micro)influencers have this number higher than 10. likes_to_posts_ratio: A ratio of number of likes by the user over number of posts by the user. A value higher than 5 typically is associated with an active Twitter user who is less likely to be an influencer and typically follows other influencers. account_age_in_days: Age of the account in days. avg_posts_per_day: We get this value by dividing the number of posts by account age in days. Typically, an influencer/active Twitter user posts atleast 3 Twitter posts a week, so a value of 0.4 or higher is a great surrogate indicator of user engagement. avg_likes_per_day: We get this value by dividing the number of posts by account age in days. Our scrapers marketplace now also supports Instagram bio scraprs, Instagram profile scrapers, Google SERP scrapers etc. and all 13 tools are bundled for only $99/year (https://www.specrom.com/twitter-...)

Twitter Bio Scraper

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