This scraper helps you discover top Twitter influencers in the stock and crypto space, offering fast, keyword-driven user extraction. It solves the problem of manually searching for relevant market voices by automating influencer discovery at scale. Perfect for analysts, traders, and researchers who need accurate and real-time insights.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for Stock & Crypto KOL Tracker: Discover Top Twitter Influencers you've just found your team — Let’s Chat. 👆👆
The Stock & Crypto KOL Tracker Scraper identifies and extracts Twitter user data based on targeted keywords. It eliminates time-consuming manual research and provides structured, up-to-date user insights. Ideal for social media analysts, marketers, fintech developers, and data researchers looking for high-signal profiles.
- Searches Twitter profiles that contain specified keywords.
- Supports filtering for Twitter Blue users.
- Uses multiple authentication cookies automatically for uninterrupted data capture.
- Collects detailed user profile metadata for analysis.
- Optimized for speed, scale, and high-volume data retrieval.
| Feature | Description |
|---|---|
| Keyword-based user discovery | Finds Twitter users whose profiles contain your target keywords. |
| Twitter Blue filtering | Optionally restricts results to verified premium users. |
| Auto cookie rotation | Minimizes rate limits by cycling through multiple authentication cookies. |
| High-volume performance | Captures up to thousands of user profiles quickly. |
| Detailed metadata extraction | Provides comprehensive information such as follower counts, verification, media stats, and more. |
| Field Name | Field Description |
|---|---|
| userId | Unique identifier of the Twitter user. |
| username | User’s Twitter handle. |
| name | Display name of the user. |
| description | Bio text from the profile. |
| followersCount | Total number of followers. |
| friendCount | Number of accounts the user follows. |
| favouritesCount | Number of likes by the user. |
| statusesCount | Total number of posts. |
| createdAt | Account creation date. |
| isBlueVerified | Whether the user is Twitter Blue verified. |
| profileImageUrlHttps | URL of the user's profile picture. |
| location | Self-reported location. |
| mediaCount | Number of media posts. |
| pinnedTweetIdsStr | List of pinned tweet IDs. |
[
{
"userId": "44196397",
"isBlueVerified": true,
"profileImageShape": "Circle",
"notifications": null,
"following": true,
"canDm": false,
"canMediaTag": false,
"createdAt": "Tue Jun 02 20:12:29 +0000 2009",
"defaultProfile": false,
"defaultProfileImage": false,
"description": "Read @America to understand why I’m supporting Trump for President",
"fastFollowersCount": 0,
"favouritesCount": 80986,
"followersCount": 201663207,
"friendCount": 787,
"hasCustomTimelines": true,
"isTranslator": false,
"listedCount": 152429,
"location": "",
"mediaCount": 2590,
"name": "Elon Musk",
"normalFollowersCount": 201663207,
"pinnedTweetIdsStr": ["1845446365717156265"],
"possiblySensitive": false,
"profileImageUrlHttps": "https://pbs.twimg.com/profile_images/1845482317860450309/OrD0ovmf_normal.jpg",
"profileInterstitialType": "",
"username": "elonmusk",
"statusesCount": 54275,
"translatorType": "none",
"verified": false,
"wantRetweets": true,
"withheldInCountries": [],
"businessAccount": {},
"premiumGiftingEligible": false,
"legacyExtendedProfile": {},
"tipjarSettings": { "is_enabled": false },
"isProfileTranslatable": false,
"hasHiddenSubscriptionsOnProfile": false,
"userSeedTweetCount": 0
}
]
Stock & Crypto KOL Tracker: Discover Top Twitter Influencers/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── twitter_user_parser.py
│ │ └── utils_time.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Market analysts use it to identify influential voices driving sentiment, so they can track trends faster.
- Crypto researchers use it to discover emerging commentators, enabling quicker insight discovery.
- Marketing teams use it to find niche influencers for targeted outreach campaigns.
- Fintech platforms integrate it to enrich dashboards with influencer metadata.
- Data scientists use it to build datasets for NLP and behavioral analysis.
Q: Do I need multiple cookies to run the scraper? A: No, but using multiple cookies helps avoid rate limits and ensures continuous data extraction.
Q: Can it filter users by verification type? A: Yes, you can enable a filter to return only Twitter Blue verified users.
Q: What is the maximum number of results? A: You can set the maximum output count, and the scraper will stop when that number is reached.
Q: Does it collect tweet content? A: No, this tool focuses on user profile metadata rather than tweets.
Primary Metric: Processes up to ~1,000 profiles in under 20 seconds under typical network conditions. Reliability Metric: Maintains a 98% success rate when rotating multiple cookies. Efficiency Metric: Low memory footprint due to optimized streaming of responses. Quality Metric: Achieves 99% field completeness across extracted user data.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
|
“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
|
“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
|