Scraping with Scrapebox

squirrelhunter · January 2013

Assembling a new Footprint list by hand and also extracting some with santos's ini reader tool..

Theres this option for keyword inside the tool which will add "%KW%" after every footprint extracted. Is this needed for for scrapebox? or do i just paste my keywords into field and then import footprint list (wihout "%KW%") using 'M' button and scrape away?

thx

takeachance · January 2013

the %KW% token in SB is for use with the m button. It will replace the token with your keywords. You don't have to use it but it will give you greater results if you do:)

CreditDoc · January 2013

I searched "santos's ini reader tool" but couldn't find the file you mention. @Squirrelhunter or @takeachance do you mind pointing me in the right direction?

tumpien · January 2013

CreditDoc - http://www.mediafire.com/?0ca7er18azzlw67

CreditDoc · January 2013

@tumpien Thanks!

rodol · January 2013

nice thanks

CreditDoc · January 2013

It took me a minute to find info on this tool and thought others might find it useful:

http://www.blackhatim.com/f4/[get]-gsa-footprint-extractor-only-useful-those-who-use-gsa-search-engine-ranker-36854.html

rodol · January 2013

lol that was @Leeg (i guess), and that was shared here already in some old thread.

yougotmymoney · January 2013

Another great way to scrape for lists, is to take ur verified links throw them into the scrapebox harvester, and use the link extractor plugin, to extract all the external links on those pages, and thow that into GSA and sort them by platform, import url (identify and sort), its working good for me so far.....

--2000 gsa verified links

----400k outbound links on those pages

------50k identified platforms

----running gsa on it now.......out of 120 submitted, 30 verified.

squirrelhunter · February 2013

yougotmymoney
great idea, however what about wiki, drupal, joomla, and other article sites? would not make sense to scrape for other links on these as there are usually none, except yours. so maybe link extracting would work best on blog comment sites..

Scraping with Scrapebox

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