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1 | 1 | # Python Web Scraping Tutorial: Step-By-Step |
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| 3 | +## Table of Contents |
| 4 | + |
| 5 | +- [Web Scraping in 5 Lines of Code](#Web-Scraping-in-5-Lines-of-Code) |
| 6 | +- [Components of a Web Scraping with Python Code](#Components-of-a-Web-Scraping-with-Python-Code) |
| 7 | + - [Python Libraries](#Python-Libraries) |
| 8 | + - [Python Web Scraping: Working with Requests](#Python-Web-Scraping:-Working-with-Requests) |
| 9 | +- [BeutifulSoup](#BeutifulSoup) |
| 10 | +- [Find Methods in BeautifulSoup4](#Find-Methods-in-BeautifulSoup4) |
| 11 | + - [Finding Multiple Elements](#Finding-Multiple-Elements) |
| 12 | + - [Finding Nested Elements](#Finding-Nested-Elements) |
| 13 | + - [Exporting the data](#Exporting-the-data) |
| 14 | +- [Other Tools](#Other-Tools) |
| 15 | + |
3 | 16 | In this Python Web Scraping Tutorial, we will outline everything needed to get started with web scraping. We will begin with simple examples and move on to relatively more complex. |
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5 | 18 | Python is arguably the most suitable programming language for web scraping because of its ease and a plethora of open source libraries. Some libraries make it easy to extract the data and to transform the data into any format needed, be it a simple CSV, to a more programmer-friendly JSON, or even save directly to the database. |
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