Class decoder DLLs are now bundled along with USBTrace installation. So there is no need to download and install them separately as with previous versions. The following are the changes in the latest version (3.0) of USBTrace USB Protocol Analyzer.
HID class decoder has been updated as per the latest HID Usage Table specification.
USB Hub Class decoder has been updated as per the 3.0 specification.
Mass Storage (MSD) device class decoder has been updated as per SPC 3 and MMC 5 specifications.
The video class decoder has been updated as per UVC 1.5 specification.
We have also updated the Vendor Specific Class decoder sample DLL code to work with the latest version of Microsoft Visual Studio.
The latest version of USBTrace USB Analyzer may be downloaded from http://www.sysnucleus.com/usbtrace_download.html
With the latest version of USBTrace USB Protocol Analyzer Software, you can capture and analyze USB 3.0 traffic on all versions of Windows (XP to 8.1, both 32 and 64 bit) with ease. USB 3.0 (Super Speed) enumeration traffic capture, device class decoding etc. are fully supported. The following USB 3.0 specific data are captured.
- USB 3.0 Standard Descriptors
- Binary Device Object Store (BOS) descriptor
- Super Speed Endpoint Companion descriptor
- Super Speed USB Device Capability descriptor
- USB 2.0 Extension
- Super Speed USB device capability
- Container ID
- USB 3.0 Standard device requests
Download and try the latest version of USBTrace USB Analyzer Software for Windows from http://www.sysnucleus.com/usbtrace_download.html
The latest update of USBTrace (3.0) is available for download at http://www.sysnucleus.com/usbtrace_download.html. The major changes in this release are :
- Fixed USB 3.0 device enumeration traffic capture issues
- Displays endpoint address for USB 3.0 transactions
- Updated HID class decoder as per the latest HID Usage Table specification (Hut1_12v2)
- Updated Hub class decoder : USB 3.0 hub class support
- Updated Mass Storage class decoder (SPC 3, MMC 5 specification)
- Updated Video class decoder (UVC 1.5 specification)
- Minor UI changes
- Class decoders bundled along with installer
- Updated USB Vendor list
WebHarvy allows you to scrape hidden fields in websites which are displayed only when you click on a link or button. The ‘Click’ option in the Capture window can be used to display such ‘click to display’ fields. The following video shows the process.
The video below shows how contact details from Craigslist listing pages can be extracted using this feature.
WebHarvy also allows you to scrape data from the HTML of the page. For example, the following video shows how geo location (latitude, longitude) can be extracted from yellow page listings (map details) from its HTML – this data is not visible in browser.
WebHarvy lets you scrape images from websites with ease (in addition to text). During configuration, you can directly click on an image to capture it. The resulting Capture window displayed will have a ‘Capture Image’ button, clicking which either the image file can be downloaded or its URL be captured. Know More.
Images can also be downloaded from its URL obtained by applying Regular Expression on its HTML content. This method is shown in the following demonstration video.
Watch more demonstration videos
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WebHarvy can scrape data from HTML source code of selected area (or whole of) of web pages by applying Regular Expressions.
During configuration, after clicking on an item, the ‘Capture HTML’ option under ‘More Options’ of Capture window allows the HTML of the item to be captured and displayed in the preview area. After this, Regular Expressions can be applied (More Options > Apply Regular Expression) to select data from a portion of the HTML code displayed.
The following video shows how this feature can be applied to scrape URLs from HTML.
Download & try the 15 days evaluation version
WebHarvy can be used to easily scrape tweets from twitter.com. The following demonstration video shows the steps involved.
As shown, using WebHarvy to scrape tweets is very easy. WebHarvy is a point and click visual web scraper, using which data to be extracted can be selected using mouse clicks.
In case you need to scrape tweets after logging in using your Twitter account please make sure that you follow the steps mentioned at http://www.webharvy.com/articles/sites-requiring-login.html.
To know more, please watch demonstration videos at http://www.webharvy.com/demo.html
15 days free evaluation version of WebHarvy may be downloaded from http://www.webharvy.com/download.html