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huaying avatar

huaying/instagram-crawler

0
View on GitHub↗
1,335 stars·298 forks·Python·MIT·22 views

Instagram Crawler

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 tool distinguishes itself by combining data extraction with automated engagement capabilities. It allows users to programmatically interact with content by liking posts that match specific search criteria or hashtags, aiming to increase account visibility through simulated human activity.

To facilitate these operations, the software utilizes headless browser automation to render dynamic content and execute client-side scripts. It manages the scraping process through request proxying, session persistence via cookie storage, and asynchronous task queuing to handle concurrent operations and maintain consistent access to the platform.

Features

  • Social Media Scrapers - Extracts public profile, post, and hashtag data from social media pages without using official platform APIs.
  • Social Engagement Automations - Automates social media engagement by liking posts that match specific search criteria or hashtags to increase account visibility.
  • Instagram Content Retrievers - Gathers public profile details, captions, media files, and engagement metrics from Instagram pages into structured formats.
  • Web Data Extraction Tools - Extracts information from public web pages into structured files to gather profile and post details without requiring official platform credentials.
  • Web Data Scraping - Extracts information from public websites into structured files to gather data without needing official platform interfaces or developer credentials.
  • Headless Browser Automation - Uses a controlled web browser instance to simulate human interaction and render dynamic content for data extraction.
  • Social Media Automation - Interacts with social media posts automatically by liking entries that match specific search criteria or hashtags to increase account visibility.
  • Social Media Data Scraping - Gathers structured information like captions, media files, and engagement metrics from public web pages.
  • Social Media Data Pipelines - Gathers public profile details, captions, media files, and engagement metrics from social media pages into structured formats for analysis.
  • DOM-Based Extractions - Extracts structured information by traversing the document object model of rendered web pages to locate specific content nodes.
  • Intercepting Proxies - Routes network traffic through configurable proxies to manage request frequency and avoid detection by platform security mechanisms.
  • Session-Cookie Persistences - Maintains login state by storing and reusing browser cookies to bypass repeated authentication challenges during automated scraping tasks.
  • Social Media Account Bots - Provides a script for interacting with social media posts by liking entries based on specific search criteria to increase account visibility.
  • Dynamic Content Extraction - Executes client-side scripts within a headless environment to capture data that is only generated after initial page load.

Star history

Star history chart for huaying/instagram-crawlerStar history chart for huaying/instagram-crawler

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does huaying/instagram-crawler do?

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.

What are the main features of huaying/instagram-crawler?

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.

Which projects share features with huaying/instagram-crawler?

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,…

Projects sharing features with Instagram Crawler

These projects share indexed features with Instagram Crawler. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • ruipgil/scraperjsruipgil avatar

    ruipgil/scraperjs

    3,718View on GitHub↗

    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

    JavaScript
    View on GitHub↗3,718
  • joeyism/linkedin_scraperjoeyism avatar

    joeyism/linkedin_scraper

    3,746View on GitHub↗

    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

    Pythonchromecompanydriver
    View on GitHub↗3,746
  • lining0806/pythonspidernoteslining0806 avatar

    lining0806/PythonSpiderNotes

    7,445View on GitHub↗

    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

    Pythoncaptchacookiepython
    View on GitHub↗7,445
  • wangshub/douyin-botwangshub avatar

    wangshub/Douyin-Bot

    9,620View on GitHub↗

    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

    Python
    View on GitHub↗9,620
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