Service /08 · Website & Content Classification
Website & Content Classification
Sort the research pile with a clear rubric.
Python and n8n pipelines that extract website signals or article content, then classify or score each item against your instructions. Receive structured results with evidence and a review path for uncertain cases.
Sound familiar?
“We open every website or article to decide whether it belongs on our list.”
Your outcomeA categorized research list with reasons behind each result.
- Classifying a domain list by business category
- Scoring articles for relevance to a research brief
- Turning website titles, descriptions, and content signals into CSV fields
Classified and scored research records
Domain or article URL list → Classified and scored research records
research/classified-domains.csvreference/page-signals.csvreview/unreachable-or-uncertain.csvThe handover
What you receive.
- An extraction schema and documented classification rubric
- A Python batch script or n8n workflow for the agreed inputs
- Page signals, source references, and structured categories
- Unreachable-page and uncertain-result exception reports
- CSV or Google Sheets output with setup and rerun instructions
A clear scope from the start.
Service boundaryClassification reflects the content retrieved and the agreed rubric. Pages with little accessible text or ambiguous signals need review. Website redesign, search ranking analysis, and unrestricted crawling are separate scopes.
The system, access requirements, volume, and deadline determine the approach and quote. A representative pilot comes first.
Local Windows script, website signal extraction, API classification, and CSV output.
Website Classification PipelineA useful first brief
What to bring to the walkthrough.
These details help define a representative pilot. An anonymized example is enough to start; access can be arranged after we agree on the scope.
- Sample domain or article URLs, including difficult cases
- Category definitions or scoring rules with positive and negative examples
- The batch size, output destination, and review criteria
How we get there
A pilot before the full build.
Define a useful result.
Show me the repetitive task, the tools involved, and what your team needs to receive. Agree on what success looks like.
Verify it on real examples.
Test a small, representative batch. Check access, output quality, and the awkward edge cases.
Put the workflow to work.
Implement the agreed scope with validation, run logs, retries, and clear exceptions.
Keep the result in your control.
Receive the code, setup instructions, and a walkthrough. Agree on any ongoing maintenance.
Questions about this service.
Can a website classification script run locally?
Yes, where the sources and access method support it. My Website Classification Pipeline project used a local Windows Python script with CSV output and a client-defined rubric.
How do we check classification quality?
We label a representative evaluation set together and compare the workflow results with those labels. Wrong or ambiguous cases guide changes to the rubric and review rules before the full run.
Can the same workflow score articles?
Article scoring can use a similar rubric-based approach with a different extraction step. The content sources, scoring criteria, and output schema are scoped for that use case.
Read the practical guide: How to plan website classification and article scoring automation
Start with one workflow.
Tell me the repetitive task and the result you need. We’ll define a small pilot, check it against real examples, and agree on the full scope.