add: scrape animal name success.

password_programs_multiple/animal_name_scraiper.py

@@ -0,0 +1,75 @@
+import requests
+from requests import get
+from bs4 import BeautifulSoup
+import pandas as pd
+import numpy as np
+import html5lib
+
+# * Using html5lib as the parser is good
+# * It is the most lenient parser and works as
+
+animals_A_to_Z_URL = "https://animalcorner.org/animal-sitemap/#"
+
+results = requests.get(animals_A_to_Z_URL)
+# ? results and results.text ? what are these?
+
+# soup = BeautifulSoup(results.text, "html.parser")
+# * will use html5lib as the parser
+soup = BeautifulSoup(results.text, "html5lib")
+
+# print(soup.prettify())
+
+# To store animal names
+animal_name = []
+
+# To store the titles of animals
+animal_title = []
+
+# alphabet_head = soup.find_all("div", class_="wp-block-heading")
+# alphabet_head = soup.find_all("div", class_="side-container")
+# * .text all it's immediate text and children
+# * .string only the immediate text
+# print(soup.find_all("h2", class_="wp-block-heading"))
+# az_title = soup.find_all("h2", class_="wp-block-heading")
+az_names = soup.find_all(
+    "div", class_="wp-block-column is-layout-flow wp-block-column-is-layout-flow"
+)
+# az_title = soup
+# for title in az_title:
+#     # print(title.text)
+# print(title.string)
+# print(title.find(class_="wp-block-testing"))
+
+for name_div in az_names:
+    a_names = name_div.find_all("br")
+
+    for elements in a_names:
+        # print(elements.text)
+        # print(elements, end="\n")
+        next_sibling = elements.next_sibling
+        # Check if the next sibling exists and if it's not a <br> element
+        while next_sibling and next_sibling.name == "br":
+            next_sibling = next_sibling.next_sibling
+
+
+        # Print the text content of the next sibling element
+        if next_sibling:
+            print(next_sibling.text.strip())
+
+    # print(name.text)
+
+# print(soup.h2.string)
+
+# for container in alphabet_head:
+# print(container.text, end="\n")
+# titles = container.div.div.find("h2", class_="wp-block-heading")
+# title = container.find("h2", class_="wp-block-heading")
+# title = container.h3.text
+# print(title.text, end="\n")
+
+# print(container.find_all("h2", class_ = "wp-block-heading"))
+
+
+# print(soup.get_text(), end="\p")
+
+# Want to write it to a file and sort and analyse it