📝 Dev.to Articles Intelligence — Trending Developer Content with AI Engagement Scores

Extract trending developer articles from Dev.to — JavaScript, Python, React, AI and every other tech topic — as clean, structured data with an AI engagement score on every post. Filter by tag, author, keyword, reactions, comments or reading time, then surface the content that's actually resonating with developers. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

📝 What is the Dev.to Articles Intelligence?

It turns the Dev.to firehose into a structured, filterable dataset. Instead of scrolling the feed, you set your tags, keywords and engagement thresholds and it returns every matching article with full metadata, author details and a transparent 0–100 engagement score that ranks the strongest content first — so content marketers, developer-relations teams and researchers can find what's working, track competitors and discover rising topics without manual browsing.

What data does it extract?

• Title, description and clean article URL (plus canonical URL, slug and path)
• Reactions/likes (public_reactions_count) and comment count
• Reading time in minutes and full tag list
• Publish date, created/edited timestamps and last-comment time
• Cover & social images and article language
• Author details — name, username, profile image, GitHub, Twitter and website
• AI engagement score (0–100) ranking how well each article is performing

⬇️ Input

Every field is optional — leave them empty to pull the latest feed, or narrow it down:

Field	Description
tags	Filter by tags, e.g. ["javascript", "python", "react"]; empty = all
username	Only articles from a specific author; empty = all authors
top	Top articles for a period: 1 (today), 7 (week), 30 (month), 365 (year), infinity (all-time)
state	fresh or rising to surface new/trending posts; empty = all
keywords	Keep only articles matching keywords in title/description/tags, e.g. ["AI", "machine learning"]
minReactions	Minimum reactions/likes
minComments	Minimum number of comments
minReadingTime	Minimum reading time in minutes
maxResults	Cap the run (1–1000)
includeEngagementScore	Toggle the AI engagement score on/off

Example input

{
  "tags": ["javascript", "react"],
  "top": "7",
  "minReactions": 100,
  "minComments": 10,
  "maxResults": 100,
  "includeEngagementScore": true
}

⬆️ Output

Every article is one clean row (view as a table, or export JSON / CSV / Excel):

{
  "id": 1547829,
  "title": "Building Scalable APIs with Node.js",
  "description": "Learn how to build production-ready APIs that handle millions of requests...",
  "url": "https://dev.to/johndoe/building-scalable-apis-with-nodejs-4k2a",
  "canonical_url": "https://dev.to/johndoe/building-scalable-apis-with-nodejs-4k2a",
  "slug": "building-scalable-apis-with-nodejs-4k2a",
  "path": "/johndoe/building-scalable-apis-with-nodejs-4k2a",
  "published_at": "2026-06-25T10:00:00Z",
  "readable_publish_date": "Jun 25",
  "created_at": "2026-06-25T09:30:00Z",
  "edited_at": null,
  "last_comment_at": "2026-06-26T12:00:00Z",
  "reading_time_minutes": 8,
  "public_reactions_count": 245,
  "comments_count": 32,
  "tag_list": ["javascript", "node", "api", "backend"],
  "tags": "javascript, node, api, backend",
  "cover_image": "https://media.dev.to/cdn-cgi/image/.../cover.png",
  "social_image": "https://media.dev.to/cdn-cgi/image/.../social.png",
  "language": "en",
  "author_name": "John Doe",
  "author_username": "johndoe",
  "author_profile_image": "https://media.dev.to/cdn-cgi/image/.../profile.png",
  "author_github": "johndoe",
  "author_twitter": "johndoe",
  "author_website": "https://johndoe.dev",
  "engagement_score": 87
}

💡 Use cases

• 🔍 Content discovery: find the top-performing articles in your stack (React, Python, AI) and build curated reading or newsletter lists.
• 📣 Developer marketing & DevRel: track which topics and angles win reactions and discussion so you can plan content that lands.
• 📈 Competitive & trend research: watch rising posts and specific tags to spot emerging tools and themes before they peak.
• 👤 Author & community analytics: pull a single author's articles to benchmark engagement, or aggregate by tag for category insights.

🧮 How the engagement score works

A transparent 0–100 score combining four factors: reactions/likes (up to 40 pts), comments (up to 30 pts), reading time as a quality signal (up to 20 pts) and recency (up to 10 pts). Higher scores flag viral, heavily-discussed and fresh articles — use it to sort the feed and surface the content worth your attention first. Set includeEngagementScore to false if you only need raw metrics.

❓ FAQ

How do I find trending Dev.to articles? Set the tags you care about and a top period (e.g. 7 for this week), then Run. You get structured articles with reactions, comments, reading time and an engagement score, ranked so the best rise to the top.

Can I filter by programming language or topic? Yes — use tags for exact Dev.to tags like javascript, python or react, and keywords to match phrases anywhere in the title, description or tags.

Can I track a specific author? Yes — set username to pull only that author's articles, which is ideal for benchmarking or monitoring competitors.

How do I find only high-engagement posts? Use minReactions, minComments and minReadingTime to keep only articles that clear your thresholds.

What is the engagement score? A transparent 0–100 rating built from reactions, comments, reading time and recency, so you can sort by what's actually resonating.

Do I need an API key? No. It uses the public Dev.to API — no key, login or authentication required.

How fresh is the data? Articles are fetched live on each run; use state: fresh or a short top window to focus on the newest content.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is it legal? It collects publicly available content via Dev.to's public API. Use it responsibly for research and content discovery, and follow applicable laws and Dev.to's terms.

🔗 You might also like

• Hacker News Intelligence — HN stories, jobs & comments
• GitHub Repository Intelligence — repo stars, activity & metrics

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Keywords: Dev.to scraper, Dev.to API, developer articles, technical blog posts, content discovery, developer content, engagement score, trending dev articles, JavaScript articles, Python articles, React content, developer marketing, DevRel, content curation, programming blog scraper, tech content intelligence.