From 413dfccd3470c54d6b3d7a06be22166bd80fda22 Mon Sep 17 00:00:00 2001
From: Rohan Godha <yoyorodha@gmail.com>
Date: Wed, 26 Oct 2022 10:18:01 +0530
Subject: [PATCH] Proposing a python package for parsing HTML and XML documents
 that can create a parse tree for parsed pages that can be used to extract
 data from HTML, which would be useful for web scraping.

---
 beautifulSoap.md | 93 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 93 insertions(+)
 create mode 100644 beautifulSoap.md

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+#IMPORT RESOURCES
+import requests
+from bs4 import BeautifulSoup
+
+#MAKE A SOAP OBJECT OUT OF A WEBSITE
+// 1. The HTTP request
+webpage = request.get('URL', 'html.parser');
+// 2. Turn the website into a soup object
+soup = BeautifulSoup(webpage.content);
+
+#OBJECT TYPES
+//1. Tags correspond to HTML tags
+Example Code:
+soup = BeautifulSoup('<div id="example">An example div</div><p>An example p tag</p>');
+
+print(soup.div);
+--> <div id="example">An example div</div>
+--> gets the first tag of that type on the page
+
+print(soup.div.name)
+print(soup.div.attrs)
+--> div
+--> {'id': 'example'}
+
+//2. Navigable Strings: Piece of text inside of HTML Tags
+print(soup.div.string)
+--> An example div
+
+#NAVIGATING BY TAGS
+Example Code:
+<h3>World's Best Chocolate Chip Cookies</h3>
+<div class="banner">
+  <h4>Ingredients</h4>
+</div>
+<ul>
+  <li> 1 cup flour </li>
+  <li> 1/2 cup sugar </li>
+  <li> 2 tbsp oil </li>
+  <li> 1/2 tsp baking soda </li>
+  <li> ½ cup chocolate chips </li> 
+  <li> 1/2 tsp vanilla <li>
+  <li> 2 tbsp milk </li>
+</ul>
+
+//1. Get the children of a tag:
+for child in soup.ul.children:
+    print(child)
+--> <li> 1 cup flour </li>
+--> <li> 1/2 cup sugar </li>
+...
+
+//2. Get the parent of a tag:
+for parent in soup.li.parents:
+    print(parent)
+    
+#FIND ALL
+//1. find_all()
+print(soup.find_all("h1"))
+--> Outputs all <h1>...</h1> on the website
+
+//1.1. find_all()  with regex
+import re
+soup.find_all(re.compile("[ou]l"))
+--> Outputs all <ul>...</ul> and <ol>...</ol>
+soup.find_all(re.compile("h[1-9]"))
+--> Outputs all headings
+
+
+//1.2. find_all() with lists
+soup.find_all(['h1', 'a', 'p'])
+
+
+//1.3 find_all() with attributes
+soup.find_all(attrs={'class':'banner', 'id':'jumbotron'});
+
+
+//1.4 find_all() with functions
+def has_banner_class_and_hello_world(tag):
+    return tag.attr('class') == "banner" and tag.string == "Hello world"
+
+soup.find_all(has_banner_class_and_hello_world)
+
+#CSS SELECTORS
+//1. grab CSS classes with .select("class_name")
+soup.select(".recipeLink")
+
+//*2. grab CSS IDs with .select("#id_name")
+soup.select("#selected")
+
+//3. using a loop
+for link in soup.select(".recipeLink > a"):
+  webpage = requests.get(link)
+  new_soup = BeautifulSoup(webpage)