SEO research / local workbench

Find the signal.

A research workbench that finds sites from niche seeds, validates results, extracts and ranks phrases, and streams the work back through one readable interface.

Built withPython · FastAPI · SearXNGResearch layerYAKE · KeyBERT · SQLite

FINDER / FIELD MAP03 — 03

System intention

Turn SEO research into a run you can follow.Discovery, validation, extraction, and export become visible steps instead of a pile of browser tabs.

PyPythonFaFastAPISxSearXNGNLPYAKE / KeyBERT

SEO / async workflowsLocal build

How the system reads

Research becomes a sequence of useful screens.

The interface keeps the engine activity visible while moving from broad discovery to a smaller, more useful language set.

Screen record / 03

Discover. Extract. Configure.

Each screen corresponds to a real part of the research workflow and its operational constraints.

Sites and Keywords Finder main dashboard — 01FinderMulti-provider discovery, proxy activity, live telemetry, and validated results in one run surface.

Sites and Keywords Finder extractor screen — 02ExtractorTurn source sites into a ranked keyword set that can be exported and carried into the next decision.

Sites and Keywords Finder settings screen — 03SettingsSearch engines, proxies, timeouts, retries, and run behavior stay configurable but not overwhelming.

Local project / 03

One more system.

The final case file is operational: S3 publishing and domain health in the same commander.

Next: SuperTools ↗

YAHYA / EL AMRANIBack to selected work ↗