ScrapeGen is a simple tool written in python that generates the code of a web scraper based on rules given in a file.
No particular reasons other than I was bored and I had come across Simone Giertz's TED talk Why you should make useless things, hence thought to create something useless.
This tool generate a parser that basically rely on Python requests and Beautifulsoup. If I got bored again then I might add other libraries too, who knows?
Anyways, you will create a YAML file first that will contain all info about the parser. A typical YAML file that generates a parser will look like below:
script_name: olx_indi_test.py # Name of the scraper file
main: # Code under _main_ function
entry_url: https://www.olx.com.pk/item/1-kanal-brand-bew-banglow-available-for-sale-in-wapda-town-iid-1009971253 # URL to be parsed
entry_function: parse # The function that uses requests library to fetch the data and calling Bs4
rules: # Each Selector will be a separate rule that itself will be a separate method
- name: price
type: single #Valid types: array,single
selector: '#container > main > div > div > div.rui-2SwH7.rui-m4D6f.rui-1nZcN.rui-3CPXI.rui-3E1c2.rui-1JF_2 > div.rui-2ns2W._2r-Wm > div > section > span._2xKfz'
extract: #Either an attribute value or just text
what: text
- name: seller
type: single #Valid types: array,single
selector: '#container > main > div > div > div.rui-2SwH7.rui-m4D6f.rui-1nZcN.rui-3CPXI.rui-3E1c2.rui-1JF_2 > div.rui-2ns2W.YpyR- > div > div > div._1oSdP > div > a > div'
extract:
what: text
Assuming you installed all required libs mentioned in requirements.txt, all you have to do is to run the command:
python parse_gen.py indi.yaml
Where indi.yaml is the file that contains the content given above. If it runs successfully, it generates a file with name olx_indi_test.py which looks like below:
import requests
from bs4 import BeautifulSoup
def get_price(soup_object):
_price = None
price_section = soup_object.select(
"#container > main > div > div > div.rui-2SwH7.rui-m4D6f.rui-1nZcN.rui-3CPXI.rui-3E1c2.rui-1JF_2 > div.rui-2ns2W._2r-Wm > div > section > span._2xKfz")
if len(price_section) > 0:
_price = price_section[0].text.strip()
return _price
def get_seller(soup_object):
_seller = None
seller_section = soup_object.select(
"#container > main > div > div > div.rui-2SwH7.rui-m4D6f.rui-1nZcN.rui-3CPXI.rui-3E1c2.rui-1JF_2 > div.rui-2ns2W.YpyR- > div > div > div._1oSdP > div > a > div")
if len(seller_section) > 0:
_seller = seller_section[0].text.strip()
return _seller
def parse(_url):
r = requests.get(_url)
if r.status_code == 200:
html = r.text.strip()
soup = BeautifulSoup(html, 'lxml')
price = get_price(soup)
seller = get_seller(soup)
if __name__ == '__main__':
main_url = "https://www.olx.com.pk/item/1-kanal-brand-bew-banglow-available-for-sale-in-wapda-town-iid-1009971253"
parse(main_url)
The generated can easily be modified based on your needs.
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