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Category: scrapy

How to use Crawlera with Scrapy

Crawlera is a proxy service, specifically designed for web scraping. In this article, you are going to learn how to use Crawlera inside your Scrapy spider.

Scrapy, Matplotlib and MySQL: Real Estate Data Analysis

In today’s article we will extract real estate listings from one of the biggest real estate sites and then analyze the data. Similar to our previous web data analysis blogpost, I will show you a simple way to extract web data with python and then perform descriptive analysis on the dataset.

Scrapy & AutoExtract API integration

We’ve just released a new open-source Scrapy middleware which makes it easy to integrate AutoExtract into your existing Scrapy spider. If you haven’t heard about AutoExtract yet, it’s an AI-based web scraping tool which automatically extracts data from web pages without the need to write any code. Learn more about AutoExtract here.

Price intelligence with Python: Scrapy, SQL and Pandas

In this article I will guide you through a web scraping and data visualization project. We will extract e-commerce data from real e-commerce websites then try to get some insights out of it. The goal of this article is to show you how to get product pricing data from the web and what are some ways to analyze pricing data. We will also look at how price intelligence makes a real difference for...

How to set up a custom proxy in Scrapy?

When scraping the web at a reasonable scale, you can come across a series of problems and challenges. You may want to access a website from a specific country/region. Or maybe you want to work around anti-bot solutions. Whatever the case, to overcome these obstacles you need to use and manage proxies. In this article, I'm going to cover how to set up a custom proxy inside your Scrapy spider in...

What I Learned as a Google Summer of Code student at Scrapinghub

Google Summer of Code (GSoC) was such a great experience for students like me. I learned so much about open source communities as well as contributing to their complex projects. I also learned a great deal from my mentors, Konstantin and Cathal, about programming and software engineering practices. In my opinion, the most valuable lesson I got from GSoC was what it was like to be a Software...

Scraping the Steam Game Store with Scrapy

This is a guest post from the folks over at Intoli, one of the awesome companies providing Scrapy commercial support and longtime Scrapy fans.

Deploy your Scrapy Spiders from GitHub

Up until now, your deployment process using Scrapy Cloud has probably been something like this: code and test your spiders locally, commit and push your changes to a GitHub repository, and finally deploy them to Scrapy Cloud using shub deploy. However, having the development and the deployment processes in isolated steps might bring you some issues, such as unversioned and outdated code running...

How to Build your own Price Monitoring Tool

Computers are great at repetitive tasks. They don't get distracted, bored, or tired. Automation is how you should be approaching tedious tasks that are absolutely essential to becoming a successful business or when carrying out mundane responsibilities. Price monitoring, for example, is a practice that every company should be doing, and is a task that readily lends itself to automation.

An Introduction to XPath: How to Get Started

XPath is a powerful language that is often used for scraping the web. It allows you to select nodes or compute values from an XML or HTML document and is actually one of the languages that you can use to extract web data using Scrapy. The other is CSS and while CSS selectors are a popular choice, XPath can actually allow you to do more.