This scraper collects data on tweet & comment details, providing insights for social media analysis, sentiment tracking, and trend monitoring on Twitter/X. With features like sentiment analysis, tone detection, and filtering based on relevance, likes, or recency, this tool offers a comprehensive solution for researchers and businesses tracking conversations in real time.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Twitter/X Comment Scraper is designed to provide real-time extraction of comments and replies on tweets. It allows users to capture detailed social media interactions, including sentiment and tone analysis, without requiring a Twitter API key. This tool is ideal for monitoring conversations, analyzing brand sentiment, and tracking trending topics on Twitter and X.
- Extract comments and replies from public tweets at high speed (up to 100 replies per second).
- Perform sentiment analysis to detect tone (positive, negative, neutral) and emotional tone (humorous, sarcastic, etc.).
- Sort replies by relevancy, latest, or like count for targeted data extraction.
- No API key or cookies required for most public tweets.
- Supports real-time comment extraction and custom filtering options.
| Feature | Description |
|---|---|
| High-speed extraction | Extract up to 100 replies per second with optimized performance. |
| Sentiment analysis | Detect the sentiment (positive, negative, neutral) and tone (humorous, sarcastic, etc.) of each reply. |
| Reply sorting | Sort replies by relevancy, likes, or latest, based on your preferences. |
| Bulk processing | Currently processes one tweet per run, with options for task scheduling. |
| Field Name | Field Description |
|---|---|
| commentId | Unique identifier for the comment. |
| userId | Unique identifier for the user who posted the comment. |
| isBlueVerified | Indicates if the user is a verified account. |
| twitterName | Name of the Twitter/X user. |
| twitterUsername | Username of the Twitter/X user. |
| viewCount | Number of views the comment has received. |
| replyContent | Text content of the comment or reply. |
| likeCount | Number of likes on the comment. |
| replyCount | Number of replies to the comment. |
| retweetCount | Number of retweets of the comment. |
| quoteCount | Number of times the comment was quoted. |
| bookmarkCount | Number of bookmarks on the comment. |
| createdAt | Timestamp of when the comment was created. |
[
{
"commentId": "1844873984250138716",
"userId": "1355721251180961792",
"isBlueVerified": true,
"twitterName": "Gunther Eagleman™",
"twitterUsername": "GuntherEagleman",
"viewCount": "250756",
"replyContent": "@realDonaldTrump If you support President Trump, we are family! Vote for law and order!",
"likeCount": 6808,
"replyCount": 395,
"retweetCount": 486,
"quoteCount": 12,
"bookmarkCount": 20,
"createdAt": "Fri Oct 11 22:53:28 +0000 2024"
}
]
twitter-x-comment-scraper/
├── src/
│ ├── scraper.py
│ ├── sentiment_analysis.py
│ ├── utils/
│ │ └── helpers.py
│ ├── config/
│ │ └── settings.json
│ └── outputs/
│ └── result_exporter.py
├── data/
│ └── sample_output.json
├── requirements.txt
└── README.md
- Marketing teams use it to monitor customer feedback on campaigns, so they can adjust messaging in real-time.
- Research institutions use it to study public sentiment and trends around social issues or political events.
- Customer support teams track mentions and sentiments of their brand to identify potential issues and improve service.
- Influencers and brands analyze comments to track engagement and sentiment around their posts and promotions.
Q: Do I need a Twitter API key to use this scraper? A: No, this tool does not require a Twitter API key. It uses web scraping to collect data directly from public tweets.
Q: Can I analyze the sentiment of all comments? A: Yes, the scraper performs sentiment analysis on each comment, detecting whether the tone is positive, negative, neutral, or specific emotional tones like humorous, sarcastic, etc.
Q: Can I scrape comments from any tweet? A: Yes, as long as the tweet is public and the replies are not limited, this tool will extract comments without needing a cookie or login.
Q: How fast is the scraper? A: The scraper can extract up to 100 replies per second, depending on network conditions, allowing for quick data collection even for tweets with many replies.
Primary Metric: Scrapes up to 100 replies per second. Reliability Metric: 98% success rate on public tweets. Efficiency Metric: Optimized for bulk extraction, capable of handling large tweet threads with thousands of replies. Quality Metric: Sentiment and tone analysis is accurate for most short comments but may struggle with sarcasm and slang.
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