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Scrapebox + GSA SER Tutorial Guide


This guide is for GSA users who want to efficiently harvest URLs with Scrapebox and use them in GSA SER, while avoiding crashes and optimizing link-building campaigns.


1. Choosing the Right Scrapebox Version

  • Use Scrapebox v2 or the latest stable version.

  • Older versions may crash with large datasets.


2. Avoiding Memory Issues

  • Do not load all your keywords and footprints at once.

  • Experiment with smaller batches to find your “sweet spot”:

    • Example: 100–1,000 keywords at a time.

    • Use partial lists of footprints, then rotate them.

  • If Scrapebox crashes:

    • Reduce the number of keywords/footprints.

    • Increase virtual memory on your PC if possible.

    • Consider splitting scraping across multiple sessions.


3. Scraping URLs

  • Input your keywords and footprints.

  • Start scraping.

  • Do not worry about trimming URLs:

    • GSA SER can handle full URLs.

    • Trimming is optional; it’s fine to import the URLs as-is.


4. Handling Large URL Lists

  • If you have a huge list (e.g., 50k–100k keywords):

    • Scrap in batches, not all at once.

    • Remove duplicate domains and URLs after scraping to reduce load.

Example:

  • Scraped 100 keywords → 30k unique domains → imported into GSA SER → LpM jumped from 15 to 71.


5. Extracting External Links

  • Use Scrapebox’s Link Extractor or tools like Moz Backlink Checker.

  • Steps:

    1. Import verified URLs (e.g., 50k verified URLs).

    2. Split them into smaller batches (optional).

    3. Extract external links → you may end up with millions of new URLs.

    4. Optionally, use "URL in quotes" Google search to find even more links.

Note: Filtering is optional:

  • You can filter by:

    • Outbound links count

    • Presence of malware/phishing

    • PR (PageRank)

    • Keywords or bad words in content

  • But filtering takes too much time and may not be worth it. Just import the links directly into GSA SER.


6. Importing URLs into GSA SER

  • Direct import works fine:

    • You don’t need to break the URL list into smaller chunks.

    • GSA SER will verify and post to usable links automatically.

  • Tier 2 links: if they aren’t posting:

    • Keep scraping new links.

    • Keep posting consistently.

    • Results improve with volume over time.


7. General Tips

  • Numbers game: Keep scraping and posting continuously.

  • Use multiple servers or instances if possible to run 24/7.

  • Rotate keyword/footprint combinations to avoid duplicate results.

  • Don’t stress over trimming or filtering too much—focus on volume + consistency.


Quick Workflow Example

  1. Scrape 100–1,000 keywords with a set of footprints → 30k unique URLs.

  2. Import into GSA SER → post and verify.

  3. Extract external links from verified URLs → 4M+ URLs.

  4. Import those into GSA SER → post directly.

  5. Optionally, use URLs in quotes to find even more links.

  6. Repeat scraping with new keywords/footprints → increase LpM over time.



I’ve been away from using GSA products for over 3 years, but I’m slowly making my return now. I also wanted to share the process I used in the past to scrape and build verified lists.

This is the exact method I followed back then, and I’m planning to refine it as I get back into things. Since English isn’t my first language, I used AI to help polish this post a bit so it’s easier to read.

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