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Extract a public article into clean text

A small ready-to-run example. Change the targets to your own supported public URLs. Charges apply only to delivered results; see the Actor README for coverage and limitations.

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Article Text Extractor — Clean Content, Authors & Dates
Article Text Extractor — Clean Content, Authors & Datesdallel-data/article-text-metadata-extractor
title
publisher
author
publishedAt
+3 fields
Text
Number
Boolean
List
Object

Input

Targets(required):https://blog.apify.com/web-scraping-python/
Maximum results for the entire run:25
Maximum results per target:25
Maximum source pages per target:3

Output fields

title
publisher
author
publishedAt
wordCount
url
text

How it works

Sign up on Apify01

Create your Apify account to access the Article Text Extractor — Clean Content, Authors & Dates.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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