Medium Article Scraper

Extract articles from Medium: title, author, publication, tags, claps, responses, read time, publication date, content preview. Scrape by tag, author, publication, or search query. Uses RSS feeds for reliability. Perfect for content research, trend analysis.

Use cases

• Find high-performing articles in a topic for content research
• Identify influential writers for outreach or partnerships
• Benchmark claps and responses against your own posts
• Build a curated reading digest
• Track how a topic's coverage grows over time

Input

Parameter	Type	Required	Default	Description
searchUrl	string	No	—	Custom Medium URL to scrape (overrides other parameters). Supports RSS feed URLs, tag URLs, publication URLs, and search URLs.
query	string	No	—	Search term to find articles on Medium
tag	string	No	"technology"	Medium tag to scrape articles from (uses reliable RSS feed)
publicationUrl	string	No	—	URL of a Medium publication to scrape (e.g., https://medium.com/towards-data-science)
maxResults	integer	No	20	Maximum number of articles to scrape

Example input

{
  "tag": "technology",
  "maxResults": 20
}

Output

Each dataset item looks like this — real output from an actual run of this Actor:

{
  "title": "What It Means to Be Human: A Poem By Sartaj Sankhla",
  "author": "Sartaj Sankhla",
  "authorUrl": "",
  "url": "https://medium.com/@sankhlasa31/what-it-means-to-be-human-a-poem-by-sartaj-sankhla-51cff1e7a2e4?source=rss------technology-5",
  "claps": 0,
  "responses": 0,
  "readingTime": "",
  "publishDate": "2026-09-06T14:52:01.000Z",
  "tags": [
    "nature",
    "world"
  ],
  "content": "<div class=\"medium-feed-item\"><p class=\"medium-feed-snippet\">I am what you call,</p><p class=\"medium-feed-link\"><a href=\"https://medium.com/@sankhlasa…",
  "memberOnly": false
}

Field	Type
title	string
author	string
authorUrl	string
url	string
claps	number
responses	number
readingTime	string
publishDate	string
tags	array
content	string
memberOnly	boolean

The dataset also ships a preset table view (Articles), so the key columns are readable straight away in Apify Console, and exportable to JSON, CSV, Excel, or XML.

How to run it

In Apify Console — open the Actor, fill in the input form, click Start, then download the results from the Dataset tab.

With the JavaScript client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('cloud9_ai/medium-article-scraper').call({
  "tag": "technology",
  "maxResults": 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With the Python client

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('cloud9_ai/medium-article-scraper').call(run_input={
  "tag": "technology",
  "maxResults": 20
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

With the API — POST https://api.apify.com/v2/acts/cloud9_ai~medium-article-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN with the input JSON as the body.

Notes and limits

• No API key, account, or login is needed — just the input above.
• maxResults caps how much a single run collects, which is also what caps the run's cost.
• Requests are paced and failed requests are retried automatically, so runs stay inside the source's rate limits.
• Only publicly available data is collected. How you use the output is your responsibility, including the source's terms of use and any applicable data-protection law.

Support

Found a bug, or need a field that isn't in the output? Open an issue on the Issues tab of this Actor in Apify Console. Issues there are read and answered.

License

Apache-2.0