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This project is a web scraping and automation tool designed to collect public data from Instagram and perform automated social media interactions. It functions by gathering profile details, captions, media files, and engagement metrics directly from web pages, bypassing the need for official developer interfaces or platform-specific credentials.
The main features of huaying/instagram-crawler are: Social Media Scrapers, Social Engagement Automations, Instagram Content Retrievers, Web Data Extraction Tools, Web Data Scraping, Headless Browser Automation, Social Media Automation, Social Media Data Scraping.
Projects with overlapping indexed features include: ruipgil/scraperjs — Scraperjs is a JavaScript web scraping library and headless browser automation tool designed to extract structured… joeyism/linkedin_scraper — This project is a LinkedIn data scraper and professional profile extractor designed to collect information from… lining0806/pythonspidernotes — PythonSpiderNotes is a comprehensive instructional resource and framework for building web crawlers and extracting… wangshub/douyin-bot — Douyin-Bot is a Python-based automation tool designed for interacting with Douyin accounts through automated likes,… subzeroid/instagrapi. ohld/igbot — igbot is an Instagram automation bot that handles routine social media interactions on Instagram, including following,…
Scraperjs is a JavaScript web scraping library and headless browser automation tool designed to extract structured data from both static HTML and JavaScript-rendered websites. It functions as an asynchronous scraping workflow orchestrator and a selector-based engine for transforming unstructured web content into usable data. The library distinguishes itself by managing a shared browser instance across multiple tasks to optimize resource usage and reduce startup latency. It supports custom script injection into sandboxed browser environments to manipulate the DOM or execute browser-side logic
This project is a LinkedIn data scraper and professional profile extractor designed to collect information from professional networking sites. It functions as a headless browser scraper that extracts professional profiles, company details, and job listings using automated browser sessions. The tool includes a session manager that saves and loads authentication cookies to maintain persistent access to protected profiles. It employs configurable browser settings and user-agent mimicry to simulate human activity and bypass bot detection. Data extraction capabilities cover person profiles, compa
PythonSpiderNotes is a comprehensive instructional resource and framework for building web crawlers and extracting data using the Python programming language. It provides a set of methods for parsing unstructured HTML and JSON data into structured formats for persistent storage. The project includes detailed guides and tutorials on browser automation for retrieving dynamic content, as well as a framework for data extraction. It specifically covers anti-bot bypass techniques, such as rotating proxies and spoofing headers, to avoid IP blocks and detection systems. The capability surface extend
Douyin-Bot is a Python-based automation tool designed for interacting with Douyin accounts through automated likes, follows, and comments. It functions as a computer vision social bot that uses face recognition and image analysis to filter profiles based on visual criteria. The project distinguishes itself by using aesthetic content filtering to trigger social actions only when a user meets a specified beauty threshold. To reduce the risk of account bans, it incorporates account safety management that mimics human behavior through randomized delay scheduling. The framework covers a broad ran