kikimiqbalsoft - How do i Scrape Links with Scrapebox to use with GSA SER? I'm by no means an expert, but I use scrape box to scrape ...
kikimiqbalsoft - How do i Scrape Links with Scrapebox to use with GSA SER? I'm by no means an expert, but I use scrape box to scrape for target to import into SER, and this is my process (You probably know most of this already, but I'll post it anyway to help others who may not)..
Assuming that you have already gone through the 'submitted vs verified' lists and worked out which engines perform best.
- Open GSA SER
- Click: Options >>Advanced>>Tools>>Search online for urls>>Add predefined footprint
- Find the footprints you want, add them to the list, and copy them from the SER popup into to notepad (one per line)
- Copy the list to excel starting from cell A1
- In cell B1 type:- space"%KW%" (don't type space, just leave a space at the beginning)
- Drag cell B1 down to the bottom of the list.
- In cell C1 type:- =A1&B1 and drag it down the list.
You should now have a list in column C that looks something like this:
powered by oxwall "%KW%"
Powered By Oxwall "Join" "%KW%"
inurl:"/oxwall/blogs" "%KW%"
oxwall "User blogs" -oxwall.org "%KW%"
Top Rated "Most Discussed" "Browse by Tag" "%KW%"
- Copy the whole of column C to notepad and save it as something memorable like "GSA social scraping footprints".
- Open Scrapebox and set the delay, proxies, connections, search engines etc. to your liking.
- Import your list of keywords.
- Hit the [M] merge button and import the list of footprints that you just made with excel (as you have used the place holder "%KW%" you should now see your list of footprints with your keywords added onto the end in quotes, like so;
powered by oxwall "YOUR KEYWORD"
- Set Scrapebox to harvest over night and, go to bed, have a beer, bang your missus, or whatever else flicks your switch.
When you wake up in the morning you should have about 1 million URLs (depending on your settings).
- Use the remove duplicates feature in scrape box.
- Export them as a text file and save them.
- Open SER and right click on the project/s that you want to use them in.
- Modify project>> Import Target URLs>>Choose the scraped url file
- Sit back and leave SER to be the little mean green spamming machine that she is.--
Assuming that you have already gone through the 'submitted vs verified' lists and worked out which engines perform best.
- Open GSA SER
- Click: Options >>Advanced>>Tools>>Search online for urls>>Add predefined footprint
- Find the footprints you want, add them to the list, and copy them from the SER popup into to notepad (one per line)
- Copy the list to excel starting from cell A1
- In cell B1 type:- space"%KW%" (don't type space, just leave a space at the beginning)
- Drag cell B1 down to the bottom of the list.
- In cell C1 type:- =A1&B1 and drag it down the list.
You should now have a list in column C that looks something like this:
powered by oxwall "%KW%"
Powered By Oxwall "Join" "%KW%"
inurl:"/oxwall/blogs" "%KW%"
oxwall "User blogs" -oxwall.org "%KW%"
Top Rated "Most Discussed" "Browse by Tag" "%KW%"
- Copy the whole of column C to notepad and save it as something memorable like "GSA social scraping footprints".
- Open Scrapebox and set the delay, proxies, connections, search engines etc. to your liking.
- Import your list of keywords.
- Hit the [M] merge button and import the list of footprints that you just made with excel (as you have used the place holder "%KW%" you should now see your list of footprints with your keywords added onto the end in quotes, like so;
powered by oxwall "YOUR KEYWORD"
- Set Scrapebox to harvest over night and, go to bed, have a beer, bang your missus, or whatever else flicks your switch.
When you wake up in the morning you should have about 1 million URLs (depending on your settings).
- Use the remove duplicates feature in scrape box.
- Export them as a text file and save them.
- Open SER and right click on the project/s that you want to use them in.
- Modify project>> Import Target URLs>>Choose the scraped url file
- Sit back and leave SER to be the little mean green spamming machine that she is.--
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