URGENT: Python script keeps crashing on SERP analysis for large datasets – memory leak?

hey folks, i'm really stuck on this one. I've been trying to expand my internal keyword density tool to include some basic SERP analysis features, like pulling top 10 results and their meta descriptions. it's been a nightmare for the past few hours.

the problem is, my python script keeps crashing when I try to run it on anything but super small keyword lists. I'm talking like, 50 keywords is fine, but 500 or 1000? total meltdown. it feels like a memory leak somewhere in the SERP analysis part of the code, but i just can't pinpoint it.

here's a snippet of the error I keep getting. it's always a memory issue, even on a pretty beefy server:

Traceback (most recent call last):
  File "serp_analyzer.py", line 78, in <module>
    results = analyze_serps(keywords)
  File "serp_analyzer.py", line 45, in analyze_serps
    # ... some internal library call for SERP scraping ...
MemoryError: Unable to allocate 123456789 bytes

i've tried batching the requests, using different http libraries, even tried a simple gc.collect() but nothing seems to help. i'm desperate, any ideas on how to optimize this or what might be causing such a huge memory spike?

help a brother out please...