Medium Article Scraper

How to use it: 3 steps

1. Make a free Apify accountApify is the cloud platform where our tools run. The free plan gives you $5 of usage every month, no credit card needed. You pay Apify, not us.
2. Paste your input and press StartNo code needed: you fill in a form (the input). It already has a working example. For example: artificial-intelligence in Tags. Each start is one run.
3. Download the resultsWhen the run ends, the results are in a table (the dataset). Open Output, press Export and pick Excel or CSV. JSON and the API are there too.

This tool is an Apify Actor: a small program that runs on Apify. You can also run it on a schedule, for example every Monday. New to it? Read how it works, step by step and the 8 words you need first.

What it does

Medium Article Scraper reads the latest Medium stories by tag, author, publication or story URL. It returns title, author, publication, date, tags, member-only flag, reading time and the full text of open stories. No login, cookies or API key. The example run saves 10 stories about AI in about 5 seconds and costs $0.093 on the Free tier.

• tag — topic tags, such as artificial-intelligence or Machine Learning;
• author — usernames or profile links, such as @ev or ev.medium.com;
• publication — publication names or links, such as towards-data-science;
• article — story links. The Actor finds each story in its author or publication feed.

Who uses it

Price

Pay per event: you pay for each result the tool saves, plus a small start fee for each run. The price includes Apify platform costs. Apify bills you, not us. Prices below are for the Apify free plan.

Examples

• One result: about $0.01.
• 1,000 results: about $9.00.
• Every day 100 results, for 30 days: about $27.09 a month.

Free to try: the Apify free plan gives you $5 of usage every month, no credit card needed. That is enough for about 550 results.

Prices checked on 24 October 2026. See the current price on Apify.

Questions

Details

For developers

Sample result

One result from a real test run, in JSON. Real values change from run to run. In Excel or CSV each field is a column.

{
  "id": "aac387e10cb6",
  "url": "https://medium.com/data-science/deep-dive-into-websockets-and-their-role-in-client-server-communication-aac387e10cb6",
  "title": "Deep Dive into WebSockets and Their Role in Client-Server Communication",
  "subtitle": null,
  "authorName": "clara",
  "authorUsername": null,
  "authorUrl": null,
  "publicationSlug": "towards-data-science",
  "publicationName": "TDS Archive",
  "publicationUrl": "https://medium.com/data-science",
  "publishedAt": "2025-02-03T11:02:00.000Z",
  "updatedAt": "2025-02-03T11:02:00.167Z",
  "tags": ["software-development", "system-design-concepts", "websocket", "client-server-model", "getting-started"],
  "isMemberOnly": false,
  "contentAvailability": "full",
  "wordCount": 1837,
  "readingTimeMin": 7.6,
  "imageUrl": "https://cdn-images-1.medium.com/max/1024/1*HzsgZYLeeRwRNm5gbwQWrg.jpeg",
  "contentText": "…",
  "contentHtml": "…",
  "sourceType": "publication",
  "sourceValue": "towards-data-science",
  "feedUrl": "https://medium.com/feed/towards-data-science",
  "fetchedAt": "2026-10-15T00:20:38.167Z"
}

Use it from code

Actor ID: cliqtomedia/medium-articles-scraper. You need your Apify API token from Apify Console → Settings → API & Integrations.

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("cliqtomedia/medium-articles-scraper").call(run_input={
    "mode": "tag",
    "tags": [
        "artificial-intelligence"
    ]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

curl -X POST "https://api.apify.com/v2/acts/cliqtomedia~medium-articles-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode": "tag", "tags": ["artificial-intelligence"]}'

# pip install langchain-apify
# set APIFY_TOKEN in your environment
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("cliqtomedia/medium-articles-scraper")
result = tool.invoke({"run_input": {"mode": "tag", "tags": ["artificial-intelligence"]}})
print(result)

The cURL call waits for the results, up to 300 seconds. For longer runs, start a run (/runs) and get the results with a webhook or by checking the run. Apify API docs. LlamaIndex, MCP for AI agents and the JavaScript client: AI agents & MCP.

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