THE LAB #13: Managing a fleet of scrapers with Scrapeops
Using Scrapeops dashboard to monitor your web scraping operations
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Welcome to the new episode of The Lab on The Web Scraping Club, where we’ll see how to manage a fleet of scrapers with Scrapeops, a web scraping commercial solution that allows you to have a dashboard for the scrapers’ execution, a job scheduler, and a proxy aggregator.
Note: I don’t have any commercial agreement with Scrapeops or referral program linked with them, I just find this could be a useful solution for large web scraping projects.
Large web scraping projects and their challenges
Web scraping has become an essential tool for many businesses and organizations to gather data from the internet. However, large web scraping projects pose unique challenges that require careful planning and execution. One of the most significant challenges is monitoring hundreds of scrapers and their executions, as well as scheduling the spiders using tools like Scrapy. In this blog post, we will discuss these two challenges in detail and provide some solutions to overcome them.
Monitoring Hundreds of Scrapers and their Executions
Web scraping projects often require the scraping of multiple websites, and for each website, multiple pages need to be scraped. This means that a large project can involve hundreds of individual scrapers, each with its own set of requirements, settings, and parameters. Monitoring the status of these scrapers and their executions can be a daunting task, especially if you are relying on manual checks. Most web scraping frameworks, including Scrapy, have built-in logging capabilities that allow you to track the progress of your scrapers and identify any issues that arise. By reviewing the logs regularly, you can catch and address errors before they become significant problems. But doing it manually for hundreds of scrapers of course is not feasible in the long term.
One of the best ways to monitor scrapers is by using a web scraping monitoring service. These services allow you to monitor all of your scrapers from a single dashboard, providing real-time updates on their status, performance, and errors. Some monitoring services also provide alerts and notifications, so you can quickly address any issues that arise.
One of the most known monitoring web interfaces is Scrapy Cloud by Zyte, where you can schedule your scraper and monitor their executions, and it integrates naturally with Scrapy (also because Scrapy is maintained by Zyte itself)
Scheduling Process and Tools for Scrapy Spiders
The scheduling process is another challenge that comes with large web scraping projects. Scheduling involves determining the frequency of scraping, setting the start and end times of the scraping process, and managing the execution of multiple scrapers simultaneously. This process can become overwhelming when dealing with hundreds of scrapers, especially if they have different schedules and requirements.
Besides Scrapy Cloud, which we already covered before, other solutions include Scrapyd and Cron (or Task Scheduler if you’re working on Windows)
Fortunately, there are tools available to help you manage the scheduling process for Scrapy spiders. One such tool is Scrapyd. Scrapyd is a web service that allows you to schedule and run your Scrapy spiders from a remote server. With Scrapyd, you can manage the scheduling of your spiders from a single dashboard, regardless of where they are running. We have seen how it works in another THE LAB post
Cron / Task Scheduler
Another great option for running your Scrapy spiders is using the OS task scheduler of your servers. It’s more of a manual approach and can be challenging for hundreds of scrapers but, in my experience, can be done in a smart way by integrating a database where the scheduling parameters are stored and used by Cron.
Scrapeops, for both scheduling and monitoring
What is Scrapeops?
Looking for a monitoring tool for my Scrapy spider fleet I’ve noticed Scrapeops (good job with the SEO guys :) ).
Actually, they have two solutions on their website: a proxy aggregator, a sort of API on top of the major proxies API, that makes Scrapeops the one-stop shop for IP rotation.
The other solution is their monitoring and scheduling dashboard for scrapers, and that’s the product we’re seeing today.
Scheduling with Scrapeops and scrapyd
We have already seen in a previous post how to set up a scrapyd server and connect it to Scrapeops.
We will focus more now on how to set up a scraper for monitoring on Scrapeops dashboard.
Monitoring your scrapers with Scrapeops
Integrating Scrapeops in your python scrapers, made both with Scrapy or requests.
Integrating Scrapeops with your Scrapy spiders
First of all, you need to install the needed python package
pip install scrapeops-scrapy
Then, after you’ve created a free account on Scrapeops’ website, you will receive an API key you can see in the account settings.
The last step is to add the settings to the scrapers, as follows:
After running the scraper you will see in the Scrapeops dashboard your executions.
Integrating Scrapeops in your python requests scrapers
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