Deduplicate RAG Documents with Content Hashes

Created by

Riparazione Computer&Cellulari

Actor

Web Page Text Extractor for AI & RAG

Extract clean text from a public static page with its source URL, retrieval time and SHA-256 content fingerprint. Use the hash to identify unchanged documents before re-indexing a RAG knowledge base. This verified example uses example.com; compare hashes between runs in your workflow.

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Web Page Text Extractor for AI & RAGriparazionecomputerecellulari/my-actor

Source

Title

Characters

Text

+1 field

Input

Public page URLs(required):https://example.com/

Output fields

Source

Title

Characters

Text

Status

How it works

Sign up on Apify or log in

The Web Page Text Extractor for AI & RAG Actor is ready to run with the inputs already set for "Deduplicate RAG Documents with Content Hashes". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Deduplicate RAG Documents with Content Hashes" task

The Web Page Text Extractor for AI & RAG Actor will start running based on the input automatically. You can also change all the input fields, like public page urls, to match your specific use case.

Receive the "Deduplicate RAG Documents with Content Hashes" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as source, title, characters, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Deduplicate RAG Documents with Content Hashes" task via API.