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Publish sample dataset for devto-articles-scraper
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---
license: cc-by-4.0
pretty_name: "Dev.to Articles Scraper"
tags: [social_media, web-scraping, apify, news, developer-tools, scraper]
size_categories:
- n<1K
---
# Dev.to Articles Scraper
Scrape developer articles from Dev.to by tag or author: title, description, tags, reactions, comments and reading time. Schedule it to track trending tech content and topics.
## What the actor scrapes
# ✍️ Dev.to Articles Scraper — Developer Blog Posts by Tag or Author to JSON/CSV Scrape **developer articles from [Dev.to](https://dev.to)** straight from its official public API — pull posts by tag or author with full metadata and paginate the entire feed. This **Dev.to scraper** extracts title, description, tags, reactions, comments and reading time, and exports everything to JSON, CSV or Excel. **No login, no API key, no blocking.** Dev.to publishes thousands of new technical articles every w
## Who this is for
This sample is useful for anyone working in **social media, news, developer tools** who wants a quick look at the shape of the data before running the live actor at scale. Treat it as a static snapshot — counts, prices and timestamps reflect the moment the sample was captured and will drift over time.
## Source
**Live source:** This dataset is a static sample. For fresh, customizable extractions, run the live Apify actor: [logiover/devto-articles-scraper](https://apify.com/logiover/devto-articles-scraper)
## Fields
- **`id`** — unique identifier for the record
- **`title`** — item or page title
- **`description`** — textual description
- **`url`** — canonical URL of the item
- **`author`** — author or creator handle
- **`authorUsername`** — field captured by the actor
- **`tags`** — associated tags
- **`commentsCount`** — numeric count
- **`reactionsCount`** — numeric count
- **`readingTimeMinutes`** — field captured by the actor
- **`coverImage`** — field captured by the actor
- **`publishedAt`** — publication timestamp
- **`scrapedAt`** — timestamp the row was scraped
## Sample preview
```json
[
{
"id": 3666204,
"title": "4 Tiny Mistakes That Secretly Destroy App Performance",
"description": "Ok, I’m back from my short vacation and returning with some useful content 😄 As you know, from time...",
"url": "https://dev.to/sylwia-lask/4-tiny-mistakes-that-secretly-destroy-app-performance-3cgo",
"author": "Sylwia Laskowska",
"authorUsername": "sylwia-lask",
"tags": [
"javascript",
"angular",
"react",
"frontend"
],
"commentsCount": 25,
"reactionsCount": 35,
"readingTimeMinutes": 6,
"coverImage": "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fqj5had0lzdvg6ufegqif.png",
"publishedAt": "2026-05-14T06:04:15Z",
"scrapedAt": "2026-05-14T20:33:59.531Z"
},
{
"id": 3661749,
"title": "React is Overkill: Why Python + HTMX is Dominating in 2026",
"description": "Last year I spent forty minutes setting up a React project for an internal admin dashboard. Just the...",
"url": "https://dev.to/syedahmershah/react-is-overkill-why-python-htmx-is-dominating-in-2026-17ib",
"author": "Syed Ahmer Shah",
"authorUsername": "syedahmershah",
"tags": [
"python",
"react",
"javascript",
"discuss"
],
"commentsCount": 66,
"reactionsCount": 155,
"readingTimeMinutes": 8,
"coverImage": "https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fck2169yb5dioldrnfuha.png",
"publishedAt": "2026-05-13T09:28:52Z",
"scrapedAt": "2026-05-14T20:33:59.600Z"
}
]
```
## Snapshot stats
- Row count in this sample: **50**
- Data quality flag at capture time: `EXISTING_USED`
## License & Attribution
Released under **Creative Commons Attribution 4.0 (CC BY 4.0)**. If you use this data, please credit the source actor and link back to its Apify Store page: [logiover/devto-articles-scraper](https://apify.com/logiover/devto-articles-scraper).
The sample is provided as-is for evaluation and research. Source websites retain their own terms of service — downstream users are responsible for complying with them when running the live actor or redistributing scraped content.