Fetches @zherkaofficial tweets using a Node.js Twitter scraper
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Updated
Feb 18, 2024 - TypeScript
Fetches @zherkaofficial tweets using a Node.js Twitter scraper
Sanjaya is an attempt to combine multiple OSINT sources into one app.
Twitter comments extraction tool
Python based twitter bot that uses selenium library and headless browser to scrap tweets based on #hashtag, do sentiment analyssis using nltk library, and store tweet and sentiment into sqlite db
A Python-based web scraper that automates tweet collection from X.com (Formerly Twitter) using Selenium. It searches for user-defined keywords, extracts tweet content, usernames, and timestamps, and saves the results to a CSV file with support for progress saving and basic anti-bot measures.
A simple Python module to get tweets from individual twitter users.
A prototype that will use social media data to analyze the sentiment of products in the market.
Lightning-fast Twitter data retrieval tool
Scrape tweets without authentication using Selenium WebDriver
This python scraper is for latest twitter website structure , that scrapes tweets of an twitter account
Listens for tweets of a given hashtag, analyzes them, and stores the results in DynamoDB.
Twitter Scraper is a Python-based tool that automates the process of logging into Twitter, performing searches, and extracting tweets. Using Selenium WebDriver, this scraper can gather tweets based on specified search queries and save them along with their metadata (such as tweet text, username, timestamp, and link) into a JSON file.
Twitter Scraper using Nitter
Twitter profiles scraper, based on microservices and AMQP queues
Twitter (X) Scraper provides a free scraper for small-scale projects and an enterprise-grade API for large-scale Twitter data extraction , with built-in proxy rotation and CAPTCHA solving.
full text search using postgresql demo
Analysis on the most relevant Italian politicians' tweets written over the last 4 years and a half. Used some NLP algorithm to gain information about their main concerns and style (lexical richness).
Add a description, image, and links to the twitter-scraper topic page so that developers can more easily learn about it.
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