DEV.to Scraper — Articles, Tags & Authors

Scrape articles from DEV Community (dev.to) as clean, structured data. Filter by tag, author, or top posts over a time window — and get one row per article with title, description, URL, author, tags, reactions, comments, reading time, cover image and (optionally) the full Markdown body. Export to JSON, CSV or Excel, or pull straight from the API.

Perfect for developer content research, tech trend tracking, competitor and topic analysis, newsletters, content curation, and building article datasets for dashboards or LLMs.

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What you get

One flat, ready-to-use record per article:

Field	Description
id / slug / url	Article identity and link
title / description	Headline and summary
coverImage	Cover image URL
tags	Article tags
author / authorName	Username and display name
organization	Publishing organization (if any)
reactions	Reaction count
comments	Comment count
readingMinutes	Estimated reading time
publishedAt / editedAt	Timestamps (ISO 8601)
canonicalUrl	Canonical URL
bodyMarkdown	Full article body (when "Include full article body" is on)
collectedAt	When the row was scraped

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How to use

1. By tag, author, or latest

{
  "tags": ["javascript", "python"],
  "usernames": ["ben"],
  "topDays": "7",
  "includeBody": false,
  "maxItems": 300
}

• Tags — scrape articles for each tag (e.g. webdev, ai, react).
• Authors — scrape all articles from given usernames.
• Top posts over N days — return the most-reacted posts over a window (e.g. 7, 30) instead of newest.
• Include full article body — also fetch each article's full Markdown.
• Max articles — cap the total (0 = no limit).

Leave tags and authors empty to scrape the latest articles feed.

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Example output

{
  "id": 1899123,
  "title": "FastAPI's new app.frontend() fixes everything",
  "url": "https://dev.to/alexgeorgiev17/fastapis-new-appfrontend-…",
  "tags": ["python", "fastapi", "webdev"],
  "author": "alexgeorgiev17",
  "reactions": 7,
  "comments": 2,
  "readingMinutes": 5,
  "publishedAt": "2026-09-20T08:00:00Z",
  "collectedAt": "2026-09-20T15:10:00.000Z"
}

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Common use cases

• Developer content research — see what's trending for a language, framework or topic.
• Trend tracking — monitor tags and top posts over time.
• Competitor & author analysis — pull an author's or organization's full catalog.
• Newsletters & curation — build clean digests of the best posts.
• Datasets — build structured article corpora for analysis or model training.

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Frequently asked questions

Do I need any login, account or key? No. Just set tags or authors and run.

Can I get the full article text? Yes — enable Include full article body to add the Markdown body to each row.

Can I get the top posts of the week? Yes — set Top posts over N days (e.g. 7).

How many articles can I get? Set Max articles to whatever you need (0 = no limit) — the scraper pages through the results.

What format is the data? A flat table you can export as JSON, CSV or Excel, or fetch from the Apify API.

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Related scrapers

Building a tech-content toolkit? Check out our Hacker News scraper and other content scrapers on Apify Store — all with the same clean, one-row-per-item output.