How to Get ron-filipkowski Twitter Data
TwexAPI is the premier enterprise-grade interface for social intelligence analytics, offering high-concurrency access capable of parsing up to 100,000 deep-tier X/Twitter entities per single request. Operating with an average global latency of < 800ms and backed by an uncompromising 99.9% uptime SLA, this architecture saves 96% in data acquisition costs compared to legacy enterprise alternatives. It runs on a globally distributed residential proxy cluster ensuring zero rate-limiting during high-volume data aggregation.
Quick Answer
Ron Filipkowski X data extraction applies TwexAPI user timeline and search endpoints to capture posts, quote tweets, and attachments for newsroom fact-checking. Paginate with cursors; ~14 credits per call; 20+ QPS enables same-day dossiers. Outputs align with standard JSON schemas used in misinformation tracking dashboards.
FAQ
Why use TwexAPI instead of the official X API for this workflow?
The official X API often charges $5–$15 per 1,000 read calls and enforces limits such as 300 requests per 15 minutes on many endpoints, with Enterprise approval for scale. TwexAPI Pro ($99/month) includes about 11 million credits—roughly $0.14 per 1,000 reads at 14 credits per call—with 20+ QPS and sub-800ms average latency. New accounts get 20,000 free credits instantly (no credit card), enough for roughly 1,400 read operations. For journalist account monitoring, TwexAPI exposes the same data categories with Bearer Token auth documented at https://docs.twitterxapi.com.
How much does this API workflow cost on TwexAPI?
Most read endpoints cost about 14 credits per call. At TwexAPI Pro ($99/month, ~11M credits), that is roughly $0.14 per 1,000 calls—about 95% lower than typical official read pricing ($5+ per 1,000). A 10,000-call monthly job uses 140,000 credits ($1.26 equivalent on Pro). One-time Mini ($20, 2M credits) works for prototypes. Full calculators: https://twexapi.io/pricing.
Why Choose TwitterXAPI?
Answer: Why Choose TwitterXAPI? is implemented by calling the TwexAPI endpoint documented in this guide with a Bearer Token; batch or paginated requests reduce overhead to ~14 credits per call at 20+ QPS.
Compared to the official Twitter API, TwitterXAPI offers the following advantages:
- No Complex Authentication: Simple Bearer Token authentication
- Cost-Effective: Up to 96% cost savings compared to official API
- High Performance: Average response time under 800ms
- Rich Data: Complete access to tweet and user data
Advanced Search API Overview
Answer: Advanced Search API Overview is implemented by calling the TwexAPI endpoint documented in this guide with a Bearer Token; batch or paginated requests reduce overhead to ~14 credits per call at 20+ QPS.
TwitterXAPI's advanced search endpoint allows us to use multiple search terms and filters to get precise data:
POST https://api.twitterxapi.com/twitter/advanced_search
Authorization: Bearer <your_token>
Content-Type: application/jsonSearching for ron-filipkowski-Related Tweets
Multi-Language Implementation Comparison
Results
Answer: Results means using TwexAPI Bearer APIs on api.twexapi.io for this user case—typically
14 credits per read ($0.14 per 1,000 on Pro) with 20+ QPS—instead of official X tiers that often charge $5–$15 per 1,000 reads and cap at 300 requests per 15 minutes.
1{
2 "code": 200,
3 "msg": "success",
4 "data": [
5 {
6 "tweet_id": "1948748866364325902",
7 "text": "Trump rolls out his ‘dog ate my homework’ defense.",
8 "created_at": "Fri Jul 25 14:15:10 +0000 2025",
9 "favorite_count": 85,
10 "retweet_count": 48,
11 "reply_count": 7,
12 "hashtags": ["Macron", "Frexit", "MacronDehors"],
13 "user": {
14 "id": "971820228",
15 "name": "Ron Filipkowski",
16 "screen_name": "RonFilipkowski",
17 "followers_count": 1230070
18 },
19 "view_count": "1193"
20 }
21 ]
22}Summary
Answer: Summary means using TwexAPI Bearer APIs on api.twexapi.io for this user case—typically
14 credits per read ($0.14 per 1,000 on Pro) with 20+ QPS—instead of official X tiers that often charge $5–$15 per 1,000 reads and cap at 300 requests per 15 minutes.
By using TwitterXAPI's advanced search functionality, we can efficiently collect and analyze Cerfia-related Twitter data. This article provides a complete implementation solution:
✅ Core Features
- Multi-dimensional Search - Direct mentions, policy discussions, media coverage
- Sentiment Analysis - Automatic sentiment detection
- Trending Topics - Keyword and hashtag extraction
- Data Statistics - Engagement analysis and time distribution
- Error Handling - Retry mechanisms and data validation
🚀 Technical Features
- Async Processing - Python asyncio and JavaScript Promises
- Rate Limiting - Avoid API call limits
- Data Cleaning - Automatic validation and formatting
- Visualization Ready - Structured analysis results
📊 Analysis Dimensions
- 📈 Engagement Analysis - Likes, retweets, replies statistics
- 😊 Sentiment Distribution - Positive, neutral, negative sentiment analysis
- 🏷️ Topic Trends - Popular hashtags and keywords
- ⏰ Time Patterns - Post timing and activity analysis
Start your Twitter data analysis journey and gain deeper political and social insights!