DEV.to Articles Scraper API – Tags & Reactions

DEV.to articles scraper that uses the public Forem/DEV.to API to return article title, description, tags, reactions, reading time and URL. Author profile fields are omitted.

What does it do?

• Article id, title and short description.
• Canonical URL and tags.
• Reaction and comment counts.
• Reading time and published_at.
• No usernames or user profile objects.

Use cases

• Dev newsletters: top posts by tag this week.
• AI agents: find practical tutorials to summarize.
• Trend research: which tags get reactions.
• Content calendars: inspiration without scraping HTML.

Input

Field	Description
tag	Optional tag filter. Example: python
top	0 = latest; 7/30/… = top of period. Example: 7
maxItems	Example: 30

Example input:

{
  "tag": "python",
  "top": 7,
  "maxItems": 25
}

Output

Real output (first items of a run on 26 Oct 2026):

[
  {
    "id": 4886799,
    "title": "How to publish posts via the dev.to API",
    "description": "Every time I copied a post into the dev.to editor, added tags and cleaned up the formatting, I'd...",
    "url": "https://dev.to/julies1/how-to-publish-posts-via-the-devto-api-2fkd",
    "tags": [
      "python",
      "automation",
      "beginners",
      "productivity"
    ],
    "reactions": 36,
    "commentsCount": 14,
    "readingTimeMin": 4,
    "publishedAt": "2026-10-21T07:01:00Z"
  },
  {
    "id": 4911966,
    "title": "From Ancient Epigraphy to 3D Proteins: Exploring google-deepmind/science-skills & Building Custom Plugins in Google Antigravity",
    "description": "Exploring the open-source (Apache 2.0 / CC-BY 4.0) architecture of Google Antigravity's Science Plugin (v1.3.1) and Google Cloud MCP endpoints (Vertex AI, BigQuery, Cloud Run) with a 3D WebGL Biomolecular Studio and 3 custom plugins.",
    "url": "https://dev.to/gde/from-ancient-epigraphy-to-3d-proteins-building-plugins-skills-mcp-sidecars-in-google-antigravity-4l1m",
    "tags": [
      "python",
      "googleai",
      "gemini",
      "opensource"
    ],
    "reactions": 10,
    "commentsCount": 8,
    "readingTimeMin": 25,
    "publishedAt": "2026-10-24T18:56:58Z"
  }
]

Export the results as JSON, CSV or Excel, read them through the API, or send them to Google Sheets, Make, Zapier, n8n or webhooks. You can also run this Actor from AI agents through the Apify MCP server.

Pricing

Pay per event: $0.90 per 1,000 articles plus $0.00005 per run start. There is no extra platform usage charge.

FAQ

API key? Not required for the public articles endpoints used here.

Full Markdown body? Not included by default (copyrighted user content); open the URL.

Attribution? Link back to DEV.to / the article URL.

Do I need a login or API key? No. It uses the source's public API; you only need an Apify account.

Can AI agents use it? Yes. Call it through the Apify API, or from Claude, Cursor or any MCP client via the Apify MCP server.

Data source and license

Source: DEV.to / Forem public API (https://dev.to/api/articles). Article bodies remain under their authors' licenses; this Actor returns metadata and short descriptions only. Not affiliated with DEV.to or Forem.

This Actor is not affiliated with or endorsed by the data source. You are responsible for using the data in line with the source's license and terms.