Data Extraction 1 credit / URL

Extract & Summarize Web Articles to Notion

Extract and summarize any web article or blog post. AI processes the content, pulls key points, and writes structured data to your Notion database.

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Free plan includes 25 credits/month — 1 credit per URL

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How It Works

1Connect Notion

Connect your Notion workspace to Harvist. We'll create a dedicated database for your extracted articles.

2Paste the URL

Copy the URL of any web article or blog post you want to save.

3Run the template

Click 'Run' and Harvist will extract the content, summarize it with AI, and identify key points.

4Check Notion

Your article summary, key points, and tags are now in your Notion database. If the article was already saved, it's updated instead of duplicated.

What You Get in Notion

Harvist creates a Notion database with these columns, automatically populated with AI-extracted data:

Property Type Description
Title title Article title
Highlight text One-line summary for quick scanning
Tags multi-select Topic tags extracted from the article
Author text Article author
Published date Publication date
Source Site text Name of the source website
Reading Time text Estimated reading time
Word Count number Number of words in the article
Source URL url Original article URL
Extracted At date Timestamp of extraction

Upsert key: Source URL— if an entry with the same source url exists, it will be updated instead of duplicated.

Who Uses This

Content researchers building reading databases

Students collecting article summaries

Marketers tracking industry content

Anyone who reads articles and wants organized notes

Pricing

Each run costs 1 creditper URL. The free plan includes monthly credits — no credit card required. Upgrade anytime for more credits.

Frequently Asked Questions

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Free Notion Template Available

Get a free Notion template designed for this workflow. Duplicate it to your workspace, then use Harvist to fill it automatically.

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Have a suggestion?

Need more fields, a different output format, or additional data? Let us know how to improve this template.