The JS loading page is usually scraped by Selenium or another browser emulator. Yet, for a certain shopping website we’ve
found a way to perform a pure Python requests scrape.
Tag: Python
We want to share with you how to scrape text and store it as Pandas data frame using BeautifulSoup (Python). The code below works to store html li items in the ‘engine, ‘trans’, ‘colour’ and ‘interior’ columns.
from bs4 import BeautifulSoup
import pandas as pd
import requests
main_url = "https://www.example.com/"
def getAndParseURL(url):
result = requests.get(url)
soup = BeautifulSoup(result.text, 'html.parser')
return(soup)
soup = getAndParseURL(main_url)
ul = soup.select('ul[class="list-inline lot-breakdown-list"] li', recursive=True)
lis_e = []
for li in ul:
lis = []
lis.append(li.contents[1])
lis_e.extend(lis)
engine.append(lis_e[0])
trans.append(lis_e[1])
colour.append(lis_e[2])
interior.append(lis_e[3])
scraped_data = pd.DataFrame({'engine': engine,
'transmission': trans, 'colour': colour,
'interior': interior})
By default, Beautiful Soup searches through all of the child elements. So, setting recursive = False (line 13) will restrict the search to the first found element and its child only.
The code was provided by Ahmed Soliman.
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test.py
import MySQLdb, db_config
class Test:
def connect(self):
self.conn = MySQLdb.connect(host=config.db_credentials["mysql"]["host"],
user=config.db_credentials["mysql"]["user"],
passwd=config.db_credentials["mysql"]["pass"],
db=config.db_credentials["mysql"]["name"])
self.conn.autocommit(True)
return self.conn
def insert_parametrized(self, test_value="L'le-Perrot"):
cur = self.connect().cursor()
cur.execute("INSERT INTO a_table (name, city) VALUES (%s,%s)", ('temp', test_value))
# run it
t=Test().insert_parametrized("test city'; DROP TABLE a_table;")
db_config.py (place it in the same directory as the test.py file)
db_credentials = {
"mysql": {
"name": "db_name",
"host": "db_host", # eg. '127.0.0.1'
"user": "xxxx",
"pass": "xxxxxxxx",
}
}
Question:
The Python requests library is a useful library having tons of advantages compared to other similar libraries. However, as I was trying to retrieve the Wikipedia page, requests.get() retrieved it only partially:
Recently I decided to work with pythonanywhere.com for running python scripts on JS stuffed websites.
Originally I tried to leverage the dryscrape library, but I failed to do it, and a nice support explained to me: “…unfortunately dryscrape depends on WebKit, and WebKit doesn’t work with our virtualisation system.”
In this post we want to show you the code for an automatic connection to 2captcha service for solving google reCaptcha v2.0. Not long ago, google drastically complicated the user-behavior reCaptcha (v2.0). This online service provides a method for solving it.