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Scraping and Footprint Help

DeeeeeeeeDeeeeeeee the Americas
edited March 11 in Need Help
Greetings, GSA peeplz.....
I have a question...
Can anyone guide me to some information about GSA SER footprints and scraping, please?
I know it seems weird that I'm asking, but I am.
A few questions I can't find answers to.
 Firstly, should I be scraping using footprints for multiple engines types at the same time?
Is there any benefit to scraping for only, say, one specific type of engine, rather than an entire category of engines, at one time when using a standalone scraper like the new GSA Scraper or  Scrapebox?
What do scraping masters do?? It seems neater to do one type of specific engine at a time, but then there will be a sudden influx of that engine type in the backlink profile, rather than more balanced if various engines are used, if I use the list as a target list. Does that even matter??
And, for engines that don't use KWs, I guess there's no use in combining the footprint with the KWs to make new SE queries, also?

As for Footprint Studio, I am guessing that would be a good place to begin. I've tried playing with it a few times over the years and had no success finding a single new phrase.  Should I subscribe to a few lists to get a bigger pool of websites and maybe get some new scraping queries that way? Any suggestions?
I'll try it again this week, and see if I can get any results.

Comments

  • cherubcherub SERnuke.com
    I scrape for footprints for multiple engines - depending on what I'm looking for. It may be for engines that use contextual links for higher tier, or may be for engines like comments and guestbooks for lower tiers. The only time I would scrape for a single engine would be when I'm either testing a new engine or trying to improve one.

    I don't think there are really any engines that don't add keywords to footprints - not any that give any meaningful number of links anyway.

    Footprint Studio works best when you already have a hundred or so identified sites already. I add a minimum of 100 urls for it to check. It's not a perfect science, as some platforms simply do not have enough 'boilerplate' to use as a footprint. I tend to try and combine two fragments of text that Footprint Studio finds, one with a higher % match, one with a lower % (but still ideally above 50%)
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