A Beautiful Soup 4 wrapper for quickly scraping and cleaning data from the web
Project description
AwesomeRasam
A BeautifulSoup4 wrapper for lazy people. Allows you to extract and clean HTML/XML into neat formats with very few lines of elegant code.
Installation
pip3 install awesome-rasam
Initializing
From a URL
AwesomeRasam can use requests and BeautifulSoup4 under the hood to download html from an URL and create a soup object with it
from awesome_rasam import AwesomeRasam
rasam = AwesomeRasam("https://1upkd.com")
# or pass in any additional arguments you would pass to requests.get()
rasam = AwesomeRasam("https://1upkd.com",headers={"User-Agent":"Bot"})
print(rasam.get("title",">text"))
From Text
Initialize the soup under-the-hood with HTML/XML formatted text. This is useful when you get HTML through a request session or through a headless browser.
from awesome_rasam import AwesomeRasam
html = "<html><head><title>Page Title</title></head><body>Hello</body></html>"
rasam = AwesomeRasam(html, features="html5lib")
From a BeautifulSoup4 object
from awesome_rasam import AwesomeRasam
from bs4 import BeautifulSoup
html = "<html><head><title>Page Title</title></head><body>Hello</body></html>"
soup = BeautifulSoup(html, features="html5lib")
rasam = AwesomeRasam(soup)
Scraping data
- All scraping is done by providing CSS selectors to pick elements, and the attributes to pick from those elements.
- In addition to the attributes present on element tag, special attributes
>text,>inner_markup,>outer_markup, and>rasam get()andget_all()methods are provided to select first matching and all matching elements respectively- If the element is not found, or the attributed is not present, an Exception is raised. This can be prevented by passing
flag=False, and optional fallback value can be specified by passingfallback="N/A" - A
pipeargument can be passed containing a function or a list of functions to be executed on the result before returning
import json
from awesome_rasam import AwesomeRasam
rasam = AwesomeRasam("https://1upkd.com/host-website-on-laptop/")
blog = {
"page_title": rasam.get("title", ">text"),
"heading": rasam.get("h1", ">text"),
"author": rasam.get(".title p>b", ">text"),
"date": rasam.get(".title p>span", ">text",
pipe = lambda x: x.replace("\n","").strip()),
"links": rasam.get_all("a","href"),
"linked_emails": list(set(rasam.get_all(
"a[href^='mailto:']", "href",
pipe = lambda x: x.split("mailto:")[1]))),
"linked_emails_are_gmail": rasam.get_all(
"a[href^='mailto:']", "href",
pipe = [
lambda x: x.split("mailto:")[1],
lambda x: x.endswith("@gmail.com")
]),
"json_ld_metadata": rasam.get(
"script[type='application/ld+json']", ">inner_markup",
pipe=json.loads)
}
print(json.dumps(blog, indent=2))
Ultimate flex
import json
import random
from awesome_rasam import AwesomeRasam
def parse_blog(rasam):
return {
"page_title": rasam.get("title", ">text"),
"heading": rasam.get("h1", ">text"),
"author": rasam.get(".title p>b", ">text"),
"date": rasam.get(".title p>span", ">text",
pipe = lambda x: x.replace("\n","").strip()),
"links": rasam.get_all("a","href"),
"linked_emails": list(set(rasam.get_all(
"a[href^='mailto:']", "href",
pipe = lambda x: x.split("mailto:")[1]))),
"linked_emails_are_gmail": rasam.get_all(
"a[href^='mailto:']", "href",
pipe = [
lambda x: x.split("mailto:")[1],
lambda x: x.endswith("@gmail.com")
]),
"json_ld_metadata": rasam.get(
"script[type='application/ld+json']", ">inner_markup",
pipe=json.loads)
}
rasam = AwesomeRasam("https://1upkd.com")
data = {
"page_title": rasam.get("title", ">text"),
"blogs": rasam.get_all("#blogs ~ a", "href", pipe=[
lambda url: AwesomeRasam(
"https://1upkd.com/"+url,
delay=random.randint(1,5)),
parse_blog
])
}
print(json.dumps(data, indent=2))
Note: The delay argument can be passed while initializing with URL, to delay the request by that many seconds. It can also be a function which returns the number of seconds.
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