Web Scraping & data miningWeb Scraping & data miningweb scraping, data extraction, data mining and related things
I’ve met with the challenge that composer failed to load guzzle library file:
https://packagist.org/p/guzzlehttp/guzzle%241f150aaa79afd8bc5d6f08f730634a0d60 f5dfcd1dd4a6fc5263fb4b1cefeb16.json" file could not be downloaded (HTTP/1.1 404 Not Found)
The solution has been the following:
composer clear-cache
Let me tell you what you already know! Octoparse is a great web scraping tool! But like every great tool, it’s got its limitations. At times, you may wonder if there are any alternatives to Octoparse. We wondered the same and put together this blog to provide you a short list of Octoparse alternatives along with their features and distinguishing factors. Let’s get started!
Question: What is Selenium web scraping?
Answer: A picture is better than 1000 words:
So, you make a program with Python, PHP, JAVA, Ruby and whatever language you use in order to browse(), select(), click(), submit(), save(), etc., target web pages.
The LinkedIn crawl success rate is low; one request that a bot makes might require several retries to be successful. So, here we share the crucial Linkedin scraping guide lines.
import sys
import requests
URL = 'https://portal.bitcasa.com/login'
client = requests.session()
# Retrieve the CSRF token first
client.get(URL) # sets cookie
if 'csrftoken' in client.cookies:
# Django 1.6 and up
csrftoken = client.cookies['csrftoken']
else:
# older versions
csrftoken = client.cookies['csrf']
# Pass CSRF token both in login parameters (csrfmiddlewaretoken)
# and in the session cookies (csrf in client.cookies)
login_data = dict(username=EMAIL, password=PASSWORD, csrfmiddlewaretoken=csrftoken, next='/')
r = client.post(URL, data=login_data, headers=dict(Referer=URL))
My goal was to retrieve data from a web business directory.
Since the business directories scrape is the most challenging task (beside SERP scrape) there are some basic questions for me to answer:
In today’s web 2.0 many business websites utilize JavaScript to protect their content from web scraping or any other undesired bot visits. In this article we share with you the theory and practical fulfillment of how to scrape js-dependent/js-protected websites.
In this post we want to share with you a new useful JAVA library that helps to crawl and scrape Linkedin companies. Get business directories scraped!
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.
Recently I needed to make a bulk insert into db with prepared statement query. The task was to do it so that if one record failed one can rollback all records and return an error. That way no data is affected by faulty code and/or wrong data provided.