I’m looking for information on how to create effective keywords; I’m working on a dork generator program that’s a remastering of several existing tools. I’d like to learn how to refine my keywords to improve my dork results, as I want to scrape URLs and avoid getting the same standard results—streaming, video, music, and so on.
The whole dork stack, already built — grab a door, remaster it, ship your generator 
┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐
│ BUILD │──►│ RUN │──►│ FILL │──►│ FEED │
│ web │ │ one │ │ dork │ │ word │
│ tool │ │ file │ │ libs │ │ mixer │
└────────┘ └────────┘ └────────┘ └────────┘
Build it — one screen, five engines: Google, Bing, DuckDuckGo, Brave, Yandex · dorkgenerator.com
Run it — a whole generator you own as a single file · github.com/telmon95/dorkforge
Fill it — the public dork library, thousands of queries deep · exploit-db.com/google-hacking-database
Feed it — two word lists in, thousands of keywords out · keywordsmixer.com
Open dorkgenerator.com to learn the syntax, then fork dorkforge so the tool lives offline.
Eleven more inside: four scripts, two libraries, four word tools — pytrends among them.
Eleven more — scripts, dork libraries and the word tools
dorkplus — operators laid out as pieces you click together, so the syntax teaches itself · dorkplus.com/tools
dorkator — generator with saved keyword sets, so a list survives between runs · github.com/twux-sec/dorkator
DorkRunner — takes a dork list and returns results in one pass · github.com/Fr6ey/DorkRunner
dorkbot — small, plain, endlessly forked · github.com/utiso/dorkbot
Google-Dork-Generator — the minimal reference build: read it in one sitting, then remaster it · github.com/0x0806/Google-Dork-Generator
Dorks-collections-list — the widest index of dork collections anywhere · github.com/cipher387/Dorks-collections-list
Google-Dorks-Full_list — about ten thousand dork queries in a single file · github.com/TUXCMD/Google-Dorks-Full_list
listcombinator — combiners and deduplicators for any list, not only keywords · listcombinator.com/tools
seo-keyword-research-tool — autocomplete, related terms and volume in one local script · github.com/chukhraiartur/seo-keyword-research-tool
Google-Autocomplete-Scraper — small and readable: the seed-expander a generator needs · github.com/nakais/Google-Autocomplete-Scraper
pytrends — Google Trends as a Python library, so a keyword gets weighted by real demand · pypi.org/project/pytrends
Build, run, fill, feed — an afternoon, and the generator stops repeating itself.
!