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from $0.70 / 1,000 item scrapeds

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Medium Tagged Articles, Claps & Author Intelligence Scraper

Try for free

Extract published articles, reading duration, author profile links, publication dates, story URLs, categories, and full text summaries across any tag or topic on Medium.

Pricing

from $0.70 / 1,000 item scrapeds

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0.0

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Developer

LiteZero

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Monthly active users

6 days ago

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🚀 Medium Tagged Articles, Claps & Author Intelligence Scraper

Scrape trending Medium articles by tag, estimated claps, reading time, author profiles, publish dates, and canonical links for content research and AI knowledge bases.

🥊 Why This Actor Beats the Competition

Feature	Generic Browser Scrapers	Official APIs	This Actor
Speed	🐌 3–5 seconds / record (Heavy Puppeteer)	🔒 Requires OAuth / Enterprise Key	⚡ Up to 100+ records / second
Cost	💸 High compute hours ($0.05+/run)	💸 High per-seat API fees	💰 $1.00 per 1,000 items (PPR)
Anti-Bot Resistance	❌ Blocked by Cloudflare & Captchas	N/A	✅ Direct Stream + Resilient Fallbacks
Setup Friction	⏳ Complex CSS selectors & logins	⏳ Complex developer approval	🚀 Zero auth. Plug & Play

🛠️ Step-by-Step: How to Use

Method 1: Apify Console (No-Code GUI)

Configure your inputs in the Apify Web Console.
Click Start and download your structured dataset in CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/medium-article-scraper").call(run_input=["artificial-intelligence", "programming"])

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

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/medium-article-scraper').call();
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~medium-article-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json"

📥 Input Parameters

Field	Type	Description
`tags`	`array`	Medium tag slugs (e.g. "artificial-intelligence", "technology", "programming", "startup").
`maxArticles`	`integer`	Maximum articles to extract per tag.

📤 Output Data Dictionary

Field	Type	Description
`id`	`string`	Article GUID or permalink slug
`title`	`string`	Full article title
`author`	`string`	Author display name
`authorUrl`	`string`	Author profile URL
`publishedAt`	`string`	Publication date
`readingTimeMinutes`	`integer`	Estimated reading time
`claps`	`integer`	Estimated claps or popularity
`url`	`string`	Canonical Medium story URL
`tags`	`array`	Categorical subject tags
`scrapedAt`	`string`	Scrape timestamp

💡 Top Use Cases & Commercial Value

Market & Competitor Intelligence: Automate real-time monitoring feeds without infrastructure maintenance.
AI & LLM Training Pipelines: Ingest clean, structured data directly into vector embeddings and RAG stores.
Lead Generation & Sales Outreach: Export enriched, verified contacts and actionable B2B signals.

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