{"id":28025444,"url":"https://github.com/shishirrsiam/webscraping-with-python","last_synced_at":"2025-05-11T04:22:49.702Z","repository":{"id":292042059,"uuid":"978980941","full_name":"shishirRsiam/WebScraping-With-Python","owner":"shishirRsiam","description":"This repository is a beginner-friendly guide to web scraping using Python. 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It includes simple scripts to help you learn how to extract data from websites.\n\n---\n\n## 📌 What is Web Scraping?\n\nWeb scraping is the process of automatically collecting information from websites. It's useful for things like:\n- Getting product prices\n- Collecting news articles\n- Gathering job listings\n\n---\n\n## 🧰 Tools Used\n\n- `requests` – to send HTTP requests\n- `BeautifulSoup` – to parse HTML content\n- `Selenium` – to scrape dynamic websites (optional)\n\n---\n\n## 🚀 Example Code\n\n```python\nimport requests\nfrom bs4 import BeautifulSoup\n\nurl = 'https://quotes.toscrape.com/'\nres = requests.get(url)\nsoup = BeautifulSoup(res.text, 'html.parser')\n\nfor quote in soup.select('.quote'):\n    text = quote.select_one('.text').text\n    author = quote.select_one('.author').text\n    print(f\"{text} — {author}\")\n````\n\n---\n\n## 📦 Setup\n\n```bash\ngit clone https://github.com/yourusername/WebScraping-With-Python.git\ncd WebScraping-With-Python\npip install -r requirements.txt\n```\n\n---\n\n## 📂 Folders (Optional)\n\n* `basics/` – simple scrapers\n* `dynamic-sites/` – Selenium examples\n* `pagination/` – handling multi-page scraping\n\n---\n\n\n---\n\u003cp align=\"left\"\u003e \u003cimg src=\"https://komarev.com/ghpvc/?username=shishirrsiam\u0026label=Profile%20views\u0026color=0e75b6\u0026style=flat\" alt=\"shishirrsiam\" /\u003e \u003c/p\u003e\n\n\nHappy Scraping! 🕷️\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshishirrsiam%2Fwebscraping-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshishirrsiam%2Fwebscraping-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshishirrsiam%2Fwebscraping-with-python/lists"}