How to get the latest Medium articles for a tag, author or publication as JSON

Description and use

Automated collection of the latest Medium articles by tag, author or publication using an Apify Actor, outputting structured data for downstream use.

Problem

Manually checking Medium for new stories on tags, authors or publications is tedious and inefficient.

Outcome

The Actor returns one row per unique story with metadata (feed type, title, URL, author, publish dates, tags, word count, reading time, image URL, full text, HTML, isFullText flag). Duplicate stories across feeds are deduplicated. Failed feeds are logged in RUN_SUMMARY.

Workflow

• 1. Open the Medium Articles Feed Actor in Apify Store and sign in.
• 2. In the Input tab, specify Tags, Authors and/or Publications (slugs, links or handles).
• 3. Optionally set a "Only stories published after" date to limit results.
• 4. Enable "Include article text" and optionally "Include article HTML".
• 5. Click Start and export the output from the Output tab as CSV, JSON or Excel.
• 6. Schedule the Actor hourly/daily and set the publishedAfter date to the previous run time to pay only for new stories.

Evidence

This guide shows how to set that up with a small Apify Actor published by Hay Equipos called Medium Articles Feed: Tags, Authors and Publications.

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You give it any mix of tags, authors and publications, including publications on their own domain. For each story you get one row with:…

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The same story found in two feeds is saved once. Feeds that fail, such as a misspelled name or a site that is not a Medium publication, are listed in a RUN_SUMMARY record in the run's key value store.

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Pay per event: $0.001 per article saved, which is $1 per 1,000 articles.

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