Monday, 16 January 2017

How to use webscraper to compile a list of names and numbers from a directory

First we find a web search which produces the results we're after. This screenshot shows how that's done, and the url we want to grab as the starting url for our crawl.


That url goes into the starting url box in Webscraper.

We obviously don't want the crawling engine to scan the entire site but we do want it to follow those 'More info' links, because that's where the detail is. We notice that those links go through to a url which contains /mip/ so we can use that term to limit the scan (called 'whitelisting').


We also notice the pagination here. It'll be useful if Webscraper will follow those links, to find further results for our search, and then follow the 'more information' links on those pages. We notice that the pagination uses "&page=" in its urls, so we can whitelist that term too in order to allow the crawler access to page 2, page 3 etc of our search results.


The whitelist field in Webscraper allows for multiple expressions, so we can add both of these terms (separated with a comma). Webscraper shouldn't follow any url which doesn't contain either of these terms.

That's the setting up. If the site in question requires you to be logged in, you'll need to check 'attempt authentication' and use the button to visit the site and log in. That's dealt with in another article.

Kick off the scan with the Go button. At present, the way Webscraper works is that you perform the scan, then when it completes, you build your output file and finally save it.


If the scan appears to be scanning many more pages than you expected, then you can use the Live View button to see what's happening, and if necessary, stop and adjust your settings. You're very welcome to contact support if you need help

When the scan finishes, we're presented with the output file builder. I'm after a csv containing a few columns. I always start with the page url as a reference. That allows you to view the page in question if you need to check anything. Select URL and press Add.

Here's the fun part. We need to find the information we want, and add column(s) to our output file using a class or id if possible, or maybe a regular expression. First we try the class helper.

This is the class / id helper. It displays the page, it shows a list of classes found on the page, and even highlights them as you hover over the list. Because we want to scrape information off the 'more info' pages, I've clicked through to one of those pages. (You can just click links within the browser of the class helper.)


Rather helpfully, the information I want here (the phone number) has a class "phone". I can double-click that in the table on the left to enter it into the field in the output file builder, and then press the Add button to add it to my output file. I do exactly the same to add the name of the business (class - "sales-info").

For good measure I've also added the weblink to my output file. (I'm going to go into detail re web links in a different article because there are some very useful things you can do.)


So I press save and here's the output file. (I've not bothered to blur any of the data here, it's available on the web)


So that's it. How about getting a nice html file with all those weblinks as clickable links? That'll be in the next article.

Once again, You're very welcome to contact support if you need help with any of this.





Tuesday, 3 January 2017

Crawling a website that requires authentication

This is a big subject and gets bigger and more complicated as website become increasingly clever at preventing non-human visitors from being able to log in.

My post How to use Scrutiny to test a website which requires authentication has been updated a number of times in its history and I've just updated it again to include a relatively recent Scrutiny feature. It's a simple trick involving a browser window within Scrutiny which allows you to log into your site. If there's a tracking cookie, that's then retained for Scrutiny's scan.

It used to be possible to simply log in using Safari - Safari's cookies seem to have been systemwide, but after Yosemite, a browser's cookies seem to be specific to that browser.

The reason for this all being on my mind today is that I've just worked the same technique into WebScraper. I wanted to compile a list of some website addresses from pages within a social networking site which is only visible to authenticated users.



Webscraper doesn't have the full authentication features of Scrutiny but I think this method will work with the majority of websites which require authentication.

(This feature, and others, are in Webscraper 1.3 which will be available very shortly)
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Sunday, 1 January 2017

17% off Integrity Plus

We'd like to wish you a happy and prosperous New Year.



Of course, that means having the best tools, and if you're a user of website link checker Integrity, or have trialled Integrity Plus, you'll enjoy the extra features of Integrity Plus for Mac. As well as the fast and accurate link check, you can filter and search your results, manage settings for multiple sites and generate an xml sitemap.

So we're offering a 17% discount to kick off 2017 (see what we did there?)  Exp 14 Jan 2017

There's no coupon, simply buy from within the app or use this secure link:
https://pay.paddle.com/checkout/496583