Web scraping & data mining
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:
Recently we encountered a new service that helps users to scrape the modern web 2.0. It’s a simple, comfortable, easy to learn service – https://dataflowkit.com
Let’s first highlight some of its outstanding features:
Luminati offers its customers a full suite of real-time data collection tools that help them gain and maintain a competitive market edge. Luminati prides itself on its ethical and 100% legally compliant approach.
Our brand new version Octoparse 8 (OP 8) just came out a few weeks ago. To help you get a better understanding of what the differences between OP 8 and 7 are, we have included all the updates in this article.
Oxylabs.io is an experienced player in the proxy market. In the past few years, they have significantly expanded their proxy pool.
Right now they have a residential proxy pool with over 60M IPs and over 2M datacenter proxies. Their residential proxies cover every country in the world (!) and offer city-level targeting. Oxylabs datacenter proxies come from 82 locations and feature 7850 subnets.
Oxylabs is mainly focused on businesses and it is reflected in their product subscription plans. But recently they have introduced a Fast-Checkout feature, where customers can purchase residential proxies in a few clicks. Together with a recently added smaller plan ($300/month for 20GB of traffic) Oxylabs becomes much more attractive for smaller customers as well.
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.
The most successful enterprises are always the ones which manage to stay a step ahead of their rivals. And to remain ahead, you have to be able to access the industry information faster and more consistently than anybody else. This is especially true for e-commerce and online retail industries, where the pricing contest is extremely fierce. Thus, the smallest developments in information processes can result in large changes in the outcomes.
Which of the following is illegal:
(1) Scrape emails from a site and send one email to each address.
(2) Scrape emails from a website and sell them.
(3) Make a scraping script a sell it without using it.
Note: The target website Terms of Use (ToU) state that no one can crawl/scrape it.
