twitter-scraping
There are 33 repositories under twitter-scraping topic.
TheHCJ/Quacker
The continuation of fritter with feeds
iSarabjitDhiman/TweeterPy
TweeterPy is a python library to extract data from Twitter. TweeterPy API lets you scrape data from a user's profile like username, userid, bio, followers/followings list, profile media, tweets, etc.
twintproject/twint-explorer
TWINT Graph Visualizer
hxycorn/Twitter-Sentiment-Analysis-about-ChatGPT
A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.
labteral/bluebird
Unofficial Python client for Twitter
bhattbhavesh91/twitter-scrapper-snscrape
Tutorial to scrape tweets from Twitter using snscrape
Smartproxy/Web-Scraping-API
Web Scraping API code examples for Python, PHP and Node.js
Smartproxy/Social-Media-Scraping-API
Social Media Scraping API code examples for Python, PHP and Node.js
ahmedshahriar/TwitterCelebrityMatcher
Match celebrity users with their respective tweets by making use of Semantic Textual Similarity on over 900+ celebrity users' 2.5 million+ scraped tweets utilizing SBERT, streamlit, tweepy and FastAPI
aimadnet/X-Twitter-Followers-Scraper
X/Twitter followers scraper, export data to CSV
Jflick58/Easysentiment
GUI Application for Twitter Scraping and Sentiment Analysis.
sferez/Twitter_Toolbox
Complete Toolbox for Scraping, Streaming, Interact with API, Cleaning, Preprocessing, Applying NLP on Twitter Data
loretoparisi/scweet-docker
scweet Docker image
royalbhati/twitter_scrap
twitter scrapper to scarpe the tweets of a particular word and save them in a csv file
thxrhmn/twitter-scraper
twitter scraper 2023
codercurious/twitter-scraper
Scrape followers and following of a twitter profile
eonsriram/Emotional-Analysis-on-Twitter-data
Scrapes tweets and and performs Emotional analysis on them.
polypus-firehose/twitter-firehose
A Java Twitter Crawler with Dictionary-Based Search
stlxiii/TwitterScraper
For scraping reply data from tweets.
HegdeChaitra/twitter_news_data
Scraping tweets and articles from news twitter handles. Can be used for teaser generation and news headline generation.
imbngy/pyTweetCli
pyTweetCli: A Python script for effortless tweet retrieval using Selenium via the command line.
IsaacMwendwa/Twitter-ETL-of-Elections-PoliceBrutality-HateSpeech-Data
This Twitter ETL project is aimed at providing data to support UN SDG number 16. The project is directed at providing data to generate actionable insights to stakeholders; regarding the 2022 Presidential Elections, Police Brutality, and Propagation of Hate Speech on Twitter
pratapdas/jd_scrape
An internet job scraping project was done by me, Ashwary Sharma, Shoraj Tomer, and Ashray Anand, as a requirement for our Information Retrieval course.
tanyelai/sentiment-aware-model-to-classify-tweets-in-real-time
Context-dependent model pipeline (BERT-CNN-BiLSTM) for Sentiment Analysis on 2 different datasets.
TufayelLUS/Twitter-Tweet-Scraper-API-PHP
A PHP curl based Twitter tweets scraper API developed by Tufayel Ahmed
15EkbergC/Netflix-Sentiment-Analysis
Scraping Tweets regarding Netflix in order to calculate sentiment, create Topic Models, and observe the impact of Netflix's stock price drop in April 2022.
15EkbergC/Synthetic-Control-for-Elon-Musk-Buying-Twitter
Using the Synthetic Control method to effectively demonstrate the impact of Elon Musk purchasing Twitter on overall sentiment towards the company and on Twitter's stock price.
DiegoFleitas/sarambabot
Sarambabot: a serverless discord bot
Ismail-Benali/InfoMagnet-X
InfoMagnet-X
sahajshukla/covid-gossip
This project is a word2vec implementation of the tweets collected from twitter. We followed the ethical way of creating a developer account and followed the official twitter documentation to collect we data. We highly encourage the viewers to check the official documentation out and follow instructions to ethically collect the tweets and the data. For this project, we personally scraped 15000 tweets and applied preprocessing using regular expressions to filter the punctuations and miscellaneous characters that hinder the corpora learning path. We later used Tokenization followed by removal of filter words to make associations easier to understand. The basic idea was to use word2vec and bring out the association of texts based on the corpora that was fed in. This can help in 2 ways, a future implementation on a larger dataset can help autofill and search recommender systems and also, to just understand what the gossip is all about! Our main idea was to somehow find a solution that resembles Apriori in text based datasets. This was a good example of association based learning. Thus, due to this motivation, we created the project.
srikarh/free-pointer
Everyone loves freepotle
uwuzone/cute-and-harmless
Twitter crawler