DEV.to Scraper

hipersoft/devto-scraper

Scrape articles from DEV Community (dev.to): title, description, URL, author, tags, reactions, comments, reading time, cover image and (optionally) the full article body. Filter by tag, author or top posts. One clean row per article as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per article scraped

$0.002

Last rebuilt

Oct 26, 2026

Overview

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.

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

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.

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"
}

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.

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.

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.

Input

Field	Type	Description
`tags` Tags	array	DEV.to tags to scrape articles from — e.g. 'javascript', 'python', 'webdev', 'ai'. Each tag is scraped and the results are combined. Leave empty (with no authors) to scrape the latest articles feed.
`usernames` Authors	array	DEV.to usernames to scrape all articles from — e.g. 'ben', 'devteam'.
`topDays` Top posts over N days	string	Optional. Return the top (most-reacted) posts over this many days instead of newest — e.g. '7' for the past week, '30' for the past month.
`includeBody` Include full article body	boolean	Also fetch each article's full Markdown body (one extra request per article). Default: `false`
`maxItems` Max articles	integer	Maximum number of articles to collect across all tags and authors (0 = no limit). Default: `100`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~devto-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "tags": [
    "javascript"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/devto-scraper").call(run_input={
    "tags": [
        "javascript"
    ]
})

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

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/devto-scraper').call({
  "tags": [
    "javascript"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Article scraped Charged for each dev.to article returned.	$0.002	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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