Dev.to Scraper: Trending Articles, Tags & Author Developer Leads (No Login)

Extract trending tech articles, viral developer posts, tags, engagement metrics (reactions, comments), and verified developer social profiles (GitHub, Twitter, website/portfolio) directly from Dev.to without login walls or session tokens.

Designed for AI Agents (MCP-compatible), developer advocates, recruiters, tech content curators, and competitive intelligence analysts.

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Key Features

• 🚀 Multiple Discovery Feeds: Scrape Top articles of the week (top_week), month (top_month), year (top_year), or real-time latest stream.
• 🏷️ Tag & Topic Filtering: Deep-dive into specific tech stacks such as #python, #ai, #webdev, #devops, #rust, #javascript, or #beginners.
• 👤 Author & Creator Leads: Extract direct developer contact links including GitHub handles, Twitter / X accounts, personal websites, and LinkedIn profiles.
• 📊 Engagement Analytics: Capture public reaction counts, comment discussions, and reading times for viral content analysis.
• ⚡ Fast & Reliable (Zero Auth): Uses official high-throughput endpoints with zero flaky browser dependencies and zero login requirements.
• 🤖 MCP & AI Agent Native: Follows official Apify dataset schemas for 1-click integration with Claude, ChatGPT, Cursor, and Hermes Agent.

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Use Cases

1. Developer Talent Sourcing & Outreach: Identify prolific developers writing on specific frameworks (e.g. PyTorch, Rust, LangChain) and extract their GitHub and Twitter handles for direct recruitment.
2. AI Newsletters & Content Curators: Automatically compile weekly roundups of top-performing tutorials, benchmarks, and community discussions.
3. Competitive Tech Intelligence: Track developer sentiment, trending libraries, and adoption curves of emerging developer tools and SDKs.
4. Content Strategy & SEO Benchmarking: Analyze top-ranking developer headlines, reaction counts, and reading time lengths to optimize your own engineering blog posts.

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Input Parameters

Parameter	Type	Default	Description
mode	String	"top_week"	Feed stream: top_week, top_month, top_year, latest, by_tag, or by_user.
tag	String	""	Optional tag or topic filter (e.g., python, ai, webdev, rust).
username	String	""	Dev.to author username to extract specific author articles (e.g., ben).
maxResults	Integer	20	Total number of articles to extract (1 to 200).

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Output Dataset Schema

Each extracted item in your dataset provides rich developer and article metadata:

Field	Type	Description
id	Integer	Unique Dev.to article identifier
title	String	Article headline
description	String	Summary snippet of the post
url	String	Full canonical URL to the Dev.to article
reactionsCount	Integer	Total upvotes and positive reactions
commentsCount	Integer	Discussion comments count
readingTimeMinutes	Integer	Estimated reading duration in minutes
tags	Array	List of topic tags
tagsString	String	Comma-separated tag string
publishedAt	String	ISO 8601 publication timestamp
coverImage	String	Header / social thumbnail image URL
authorName	String	Author full display name
authorUsername	String	Dev.to handle
authorProfileUrl	String	Profile link on Dev.to
twitterUsername	String	Verified Twitter / X handle
githubUsername	String	Verified GitHub profile username
websiteUrl	String	Author portfolio, LinkedIn, or personal website
authorAvatarUrl	String	Author profile avatar photo URL
category	String	Extraction mode used for query

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Sample JSON Output

[
  {
    "id": 4885759,
    "title": "How to Become a Tech Conference Speaker (And Why You Might Regret It)",
    "description": "So you want to be a conference speaker? Are you sure? Recently, a few people have asked me what...",
    "url": "https://dev.to/sylwia-lask/how-to-become-a-tech-conference-speaker-and-why-you-might-regret-it-2ink",
    "reactionsCount": 224,
    "commentsCount": 118,
    "readingTimeMinutes": 11,
    "tags": ["career", "speaking", "techtalks"],
    "tagsString": "career, speaking, techtalks",
    "publishedAt": "2026-10-21T08:05:30Z",
    "readablePublishDate": "Oct 21",
    "coverImage": "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fg3ocqbjncfop52h2c6go.png",
    "authorName": "Sylwia Laskowska",
    "authorUsername": "sylwia-lask",
    "authorProfileUrl": "https://dev.to/sylwia-lask",
    "twitterUsername": "SylwiaLask8977",
    "githubUsername": "sylwia-lask",
    "websiteUrl": "https://www.linkedin.com/in/sylwia-laskowska-5a8467131/",
    "authorAvatarUrl": "https://media2.dev.to/dynamic/image/width=640,height=640,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3535771%2Fe22860d5-274b-43c9-819b-56b162e5bd5a.jpeg",
    "category": "top_week"
  }
]

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Pricing

• Actor Start: $0.00008 per execution
• Per Result: $0.0034 per extracted article ($3.40 / 1,000 items)
• Zero Hidden Infrastructure Fees: Platform usage fees are disabled for maximum predictability.