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Extract Documentation Pages as Text

Reference pages as clean text records with title, word count and reading time each. Turn docs into searchable, embeddable content.

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Article Extractor - Clean Text, Author, Date & Image
Article Extractor - Clean Text, Author, Date & Imagescrapesage/article-extractor
URL
Status
Title
Author
+5 fields
Text
Number
Boolean
List
Object

Input

URLs:https://en.wikipedia.org/wiki/HTTP+1

Output fields

URL
Status
Title
Author
Published
Site
Words
Read min
Excerpt

How it works

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The Article Extractor - Clean Text, Author, Date & Image Actor is ready to run with the inputs already set for "Extract Documentation Pages as Text". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract Documentation Pages as Text" task

The Article Extractor - Clean Text, Author, Date & Image Actor will start running based on the input automatically. You can also change all the input fields, like URLs, to match your specific use case.

Receive the "Extract Documentation Pages as Text" 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 URL, status, title, 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 "Extract Documentation Pages as Text" task via API.

Image

Integrate "Extract Documentation Pages as Text" into your workflow

Connect "Extract Documentation Pages as Text" with 100+ integrations, or run it via API or MCP.

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