Description

Name: Scrutiny for Mac
Version: 7.1.1
Language: English
Release Date: 28 Jan 2017
Mac Platform: Intel
OS version:OS X 10.8 or later
Processor type(s) & speed: 64-bit processor
Includes: Pre-Activation (install and play) (TNT)
Web Site: http://peacockmedia.software/mac/scrutiny/
Overview:

Scrutiny is a suite of web optimization tools. Native cocoa app (i.e., not Java), fast and efficient. The download includes a 30-days free trial.
Features
・Link checker
・SEO analysis
・XML Sitemap generation, optionally include images / pdf pages
・Page load speed test
・Spelling and grammar checking
・Scans sites requiring authentication
・Search your site (source or visible text) obtain a list of pages containing a search term or not containing a search term
・Website monitoring of as many URL’s as you like with a choice of alerts and logging
・Scheduling made easy with a few easy clicks (the old method using iCal will still work)
・On finish, send an email, save a report, open a file or applescript, FTP the sitemap XML, and other actions
・Opens and scans a list of links in HTML, CSV, plain text format, or XML sitemap
What’s New in Version 7.1.0:

● First full launch of Scrutiny 7 – out of beta
● ‘Document-based’ – have as many windows open as you like to run concurrent scans, view data, configure sites, all at once.
● New UI, includes breadcrumb widget for good indication of where you are, and switching to other screens. Also includes more logical flow – choose to run a scan, then choose how to view your results (Links, SEO, Sitemap, whatever).
● Organise your sites into folders if you choose.
● Autosave now automagically saves data for every scan, giving you easy access to results for any site you’ve scanned.
● Better protection when disc space is low, scan should stop before catastrophe happens. Each separate scan that’s running will give an option to pause or continue regardless, when space on system disc (‘/’) reaches 750Mb
● Better reporting – summary report looks nicer, full report consists of the summary report plus all the data as csvs