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LODo you know how to extract data from raw file. Using regular expressions is one to do that.
#python #coding #programming #logicbuilding #dataengineering
@logic_overflow
#Gawk For Data Extraction
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DA“AI in Analytics - Data Extraction Edition”
Save & Share this reel. Follow @datawithashok for more!
@datawithashok
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SHForensic Tool for Data Recovery?
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#linux #kalilinux #tech #android #learn #howto #programming #coding #ubuntu #recover #code #python #rubberducky #flipperzero #investigate #cybersecurity #pentesting #forensics #data #phone #termux #terminal #dsa #javascript #cs #computers
@shivank.devp
332.7K
TOUse the Instant Data Scraper to quickly pull data from websites!
#scrape #data
@topclickmediasa
23.8K
AFDemo included - protect yourself and use AI to empower your understanding!
@africantechbro.ai
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PRkv cache and GQA
#womeninstem #learningtogether #progresseveryday #consistency #generativeai
@priyal.py
9.8K
AA🌐 DAY 4/7: Web Scraper - Extract Data from ANY Website Automatically!
Tired of manually copying data from websites? Today we’re building a web scraper that does it automatically! This is HUGE for data analysis! 📊
🧠 THE LOGIC:
Every website is built with HTML (just structured text):
1️⃣ We send a request to the website
2️⃣ Website sends back HTML (all the code)
3️⃣ We parse through that HTML looking for specific tags
4️⃣ Extract just the data we want (prices, quotes, titles, etc.)
5️⃣ Save or analyze the data
It’s like using Ctrl+F, but automated and MUCH more powerful! 🔍
💻 THE CODE:
Using `requests` and `BeautifulSoup`:
✓ Fetch the webpage HTML
✓ Parse the HTML structure
✓ Find specific elements (by tag, class, id)
✓ Extract text, links, images, whatever you need
✓ Process hundreds of pages in seconds!
🎯 REAL-WORLD USE:
• Price monitoring (track when items go on sale!)
• Job listing aggregation (all jobs in one place)
• News article collection (research/analysis)
• Product review analysis (sentiment tracking)
• Real estate listings (find best deals)
• Research data collection (academic projects)
• Competitor analysis (market research)
💡 PRO TIP: Companies pay $50-100/hour for web scraping services! This skill is VALUABLE! Add it to your resume! 💰
⚠️ ETHICAL SCRAPING: Always check a website’s robots.txt file and Terms of Service. Respect rate limits and don’t overload servers!
🔥 DID YOU KNOW: Google’s entire business started with web scraping! They crawl billions of pages daily to index the internet!
📌 SAVE this - web scraping is one of the most in-demand Python skills!
💬 Comment what website YOU would scrape! Drop ideas below! 👇
👥 Tag a data analyst friend who needs this!
Tomorrow: Day 5 - AI Chatbot! Build your own conversational AI! 🤖
#python #webscraping #datascience #pythonprogramming #automation
learnpython pythontutorial pythoncode pythonprojects dataanalysis
codinglife programming pythondeveloper 100daysofcode webdev
pythonlearning codingisfun developer pythonbeginner tech
bigdata machinelearning analytics research buildinpublic
@aartii.py
40.2K
MCComment "Crack" for websites Link 🔗 & resources
Follow for more videos @mcyberacademy
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☎️ : 9653533324
📧 : info@mcyberacademy.com
🌐 : www.mcyberacademy.com
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#kalilinuxtools #hacking #cybersecurity #data #privacy #mcyberacademy #cracked #crack
@mcyberacademy
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AIComment 'Link' for the Repo - Scrapling - Adaptive web scraper
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Web Scraping, AI Agent Data Scraping, Data Scraper, Agent Scraper
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#ai #aiagent #webscrapping #datascrapper
@ai_with_thiru
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GP#gpgai
@gpg.ai
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AL📊 Want to grab data from any website like a pro? No coding, no hassle—just pure automation! 🚀
With Apify, you can scrape job listings, track prices, pull content, and analyze trends—all in one powerful tool! 💻🔍
Perfect for researchers, marketers, developers, or anyone who loves data-driven strategies! 📈✨
Drop “Data” below and I’ll send you the link before it’s everywhere! 🔥📲
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🔥 Hashtags ):
#Apify #WebScraping #DataTools #Automation #TechHacks #NoCode #DataAnalytics #DigitalTools #ContentExtraction #ScrapeLikeAPro #MarketingTools #TrendTracking #EcommerceTools #DataDriven #ResearchTools #OnlineData
@algorithmswithpeter
23.7K
XP🚨 HISTORIC DATA LEAK EXPOSES 16 BILLION CREDENTIALS 😱
A shocking new cyber incident has just been uncovered, one of the biggest data leaks in history. Over 16 BILLION login credentials tied to services like Google, Apple, Facebook, Telegram, GitHub, and even government platforms have been discovered online.
This isn’t old or recycled data, experts say a lot of it is freshly stolen, likely through powerful info-stealer malware that infects devices and silently logs usernames, passwords, and even session tokens.
The leaked credentials were found in 30+ datasets, with some single dumps containing over 3.5 billion records each 😨. Analysts are calling it a “supermassive breach” that could fuel a wave of cybercrime from phishing and identity theft to account hijacking.
🌐 Victims include everyday users, developers, and even government workers.
🔓 No one is safe if your data was collected.
Cybersecurity experts warn this could mark the start of a new digital crime wave, with the dark web already circulating these credentials at scale.
🧠 The world is now on high alert.
📢 Share this to raise awareness. The internet just got a little more dangerous.
#databreach #cyberattack #dataleak #16billionleak #digitalsecurity #privacybreach #darkweb #cybercrime #hackeralert #hack #xploitboy #fypシ❤️💞❤️
@xploitboy
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