Enter any keyword. Get matching Twitter/X profiles with bios, follower counts, emails, locations and 15+ data fields — exported as a CSV file ready for spreadsheets or LLM analysis.
Explore sample data from a "beauty influencer" Twitter bio search
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A follower count over 10K is typical for influencers. 1K–10K indicates micro-influencers.
Ratio above 1 means more followers than following. Successful influencers score 10+.
High following with low follower ratio means this user follows many accounts — good targets for follow/unfollow growth.
Older accounts are a strong indicator of real humans vs bots.
Active influencers post at least 3x/week (≥ 0.4/day). Very high rates may signal bots.
Ratio above 5 usually means an active consumer, not a content creator. Influencers sit between 0.5–5.
From keyword to CSV in three steps — no coding, no Twitter/X login, no API keys needed.
Type any search term, location, job title, or phrase. Our tool supports Twitter's full advanced search syntax so you can run targeted queries like "marketing manager" San Francisco.
Our cloud servers extract fresh profile data from X/Twitter in real time. No stale databases — every result is pulled live. You'll get an email when your data is ready.
Open the interactive dashboard to explore your data, filter by metrics, view analytics — then download the full CSV. Import it into Excel, Google Sheets, or feed it directly into an LLM for AI-powered analysis.
Every search export includes 15+ structured data fields per Twitter profile.
t_author_name | Display name of the Twitter account |
t_twitter_username | Twitter handle / username |
t_bio | Full text of the user's Twitter bio |
t_profile_join_date | Account creation date (UTC) |
t_verified | Verification status |
t_profile_location | Location listed on profile |
t_profile_website | Website URL from profile |
Profile URL | Direct link to the Twitter profile |
t_followers | Number of followers |
t_following | Number of accounts followed |
t_likes | Total likes given by the user |
t_no_of_posts | Total tweets posted |
Email | Email extracted from bio text (if present) |
search_term | The keyword you searched for |
data_analysis_date | Timestamp of when the data was scraped |
follower_following_ratio | Followers ÷ Following (computed) |
account_age_in_days | Days since account creation (computed) |
avg_posts_per_day | Total posts ÷ account age in days |
likes_to_posts_ratio | Total likes ÷ total posts |
| Demographics | Age & gender detection from profile pictures using AI |
| Language | Language detection from bio text or sample tweets |
| Geo-encoding | Location normalization to country/state/city |
| Topic categories | Classify bios into 360 or 620 topic categories |
| Email crawling | Extract emails from the website URL in user's bio |
| Bot detection | Probability score for bot vs real human |
| Sentiments | Sentiment analysis on user's tweets (0–1 scale) |
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