What’s the difference between JetOctopus and other crawlers?

What’s the main difference from Screaming frog? This is the most popular question we’re getting from potential clients. To cut a long story short look inside for the differences. They are game-changing.

Fast and easy-to-use SaaS as a desktop crawler

Why do you like desktop crawlers? They are extremely easy to use!
Why do you hate SaaS? After you’ve made all the necessary settings and you press “start crawling” it seems that you’ve just launched a spaceship – no less.
But it’s completely different with JetOctopus – two clicks and it starts crawling your site immediately. Not in an hour, not in half a day, but immediately. And you can watch the status update every second.

“Issues” and “Analytics” sections

Let’s imagine an SEO agency has got a new customer or you’ve just put a new site into production. At this point the information about the average length of non-canonical page titles is the least interesting.

What is really acute now is the most critical issues like 99% of the site is closed for indexing by mistake, or half the site goes to canonical of the index page, duplicate titles and etc.

That’s why we made the “Issues” section where you can find all the collected data on all the existing problems. In just one click you can download the list of 5xx pages or of pages with duplicate HTML code.

When you need ideas for optimization or need to study the site more thoroughly – the “Analytics” section will be of much help. Over 202 charts in 26 reports will provide you with all the required information about the site. It is impossible to create a checklist of all issues that would fit every site. It is impossible to tell from the majority of SEO parameters whether the site is in the green or red zone. But when an SEO expert is working with the site he can replace the changed average number of unique words in a title at the 8th nesting level and see if there are any real issues. That’s what section “Analytics” is made for.

Segmentation

Sometimes when a site has got many subsections it happens that they are managed by different development teams. It is clear that you’ve got to handle issues and analytics in the framework of each section. That’s why you need “Segments”. Thus you can take a snapshot of the site with the required filters (over 120). You don’t have to crawl the whole site again and wait for hours for the new results. You make a new segment and start working with it.

JetOctopus is a SaaS Crawler after all

During our cooperation with SEO agencies we often faced the following situation: there’s a powerful computer with 16-32Gb RAM and an installed desktop crawler. Office workers enter the date when they’d like to use the crawler in Google Calendar. After the crawling they start doing the monkey job in order to bring the information together in lots of Excel tables.

To work with SaaS you don’t need a big computer on Windows or fast Internet. Just think of this – when you see the error in a desktop crawler “Page Loading Timeout Error” – is it a real error or your office cleaner has unplugged the router by accident?

We work with servers with 1-10 Gb/sec channels all over the world. And if a page doesn’t load due to timeout we try again after some time, and then once more. Just like Googlebot does. And if it still doesn’t load in the long run, you’ll see it in a separate report which is to go to technicians.

No Limits

We don’t like limits. That’s why we don’t have them for projects, crawls, domains, segments, logs and there will be none for any integrations – Google Analytics, Webmaster Tools and etc.

We want our customers – big sites, SEO agencies, SEO experts – to think of how they can make their sites work better so that their customers could earn more, and not to choose which site to crawl now because there’s only one available project left.

Conclusion

It’s not difficult to make a crawler that will give you tons of information and hundreds of diagrams and reports. What is difficult is to answer the question that you will ask yourself, “What am I to do with it now?”

That’s why while developing our product we kept thinking of a problem-oriented crawler – the user shouldn’t spend hours in Excel trying to bring together all the collected information and then give it to a development team to fix. Monkey jobs should be done by computers, not people.

Try our 7-days free trial version and feel the difference.