Count True Values in a Boolean Array in Python
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APIs & Web Scraping : Fetch and process data from the web.
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📌 Keywords :General Terms
Web Scraping – Extracting data from websites
Data Extraction – Retrieving specific data from web pages
Web Crawling – Navigating and indexing web pages
Parsing – Analyzing and structuring extracted data
Data Mining – Finding patterns in large datasets
Scraping Techniques
Static Scraping – Extracting data from simple, non-dynamic websites
Dynamic Scraping – Scraping JavaScript-rendered content
Headless Browser Scraping – Using a browser without a UI (e.g., Selenium, Puppeteer)
API Scraping – Extracting data via official/unofficial APIs
Proxy Rotation – Using multiple IPs to avoid bans
Captcha Bypass – Solving captchas automatically
Tools & Libraries
Python – Popular language for scraping
BeautifulSoup – Library for parsing HTML/XML
Scrapy – Framework for large-scale web scraping
Selenium – Browser automation tool
Requests – HTTP library for making web requests
Puppeteer – Node.js library for headless Chrome scraping
Playwright – Alternative to Puppeteer with multi-browser support
Challenges & Solutions
IP Blocking – Prevented from accessing a site
Solution: Proxies, VPNs, User-Agent rotation
Rate Limiting – Restricted requests per time period
Solution: Throttling, Delays, Randomized requests
Captcha Protection – Sites requiring human verification
Solution: Captcha Solvers, Headless Browsers
JavaScript Rendering – Content not available in page source
Solution: Selenium, Puppeteer, Playwright
Anti-Scraping Mechanisms – Measures preventing automated access
Solution: Mimicking Human Behavior, Rotating Headers, Using Residential Proxies
Data Formats & Storage
JSON – JavaScript Object Notation
CSV – Comma-Separated Values
Excel – Spreadsheet format
SQL – Structured Query Language for databases
NoSQL – Non-relational databases (MongoDB, Firebase)
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