# DEV.to Tech Articles and Author Leads Scraper (`adaptive_nightmare/devto-tech-lead-scraper`) Actor

Extract technical authors and programming articles from DEV.to. Discover author GitHub, Twitter, and website links for technical recruitment and DevRel.

- **URL**: https://apify.com/adaptive_nightmare/devto-tech-lead-scraper.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Developer tools, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.20 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## DEV.to Articles and Author Profile Scraper

Extract technical articles, publication tags, and author profiles from DEV.to with direct links to author GitHub accounts, websites, and social profiles.

### Features

- Scrapes articles across programming tags, including javascript, python, webdev, and devops.
- Filters by top articles across different time windows (week, month, year, or all-time).
- Extracts author names, usernames, and profile links.
- Pulls author GitHub usernames, Twitter handles, and personal websites.
- Collects reaction counts, comment counts, and reading times.
- Uses public DEV.to endpoints without requiring browser rendering.

### Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `tag` | String | `"javascript"` | Tag to scrape (e.g. `ai`, `python`, `rust`, `react`, `devops`). Leave blank for all. |
| `timeframe` | String | `"7"` | `"latest"`, `"7"`, `"30"`, `"365"`, or `"all"`. |
| `maxItems` | Number | `50` | Maximum number of articles/leads to scrape (up to 1,000). |
| `minReactions` | Number | `0` | Minimum reaction/like threshold for quality filtering. |
| `username` | String | `""` | Optional specific DEV.to username to scrape. |

### Output format

`json
{
  "id": 4846656,
  "title": "Your Browser Can Do WHAT?! 5 AI Features That Actually Work",
  "description": "Are AI models running directly in the browser finally good enough to use in production?",
  "url": "https://dev.to/sylwia-lask/your-browser-can-do-what-5-ai-features-that-actually-work-1blb",
  "canonicalUrl": "https://dev.to/sylwia-lask/your-browser-can-do-what-5-ai-features-that-actually-work-1blb",
  "readingTimeMinutes": 12,
  "reactionsCount": 201,
  "positiveReactionsCount": 201,
  "commentsCount": 127,
  "publishedAt": "2026-10-14T07:05:48Z",
  "tags": ["ai", "react", "javascript", "webdev"],
  "author": {
    "name": "Sylwia Laskowska",
    "username": "sylwia-lask",
    "devtoProfile": "https://dev.to/sylwia-lask",
    "githubUsername": "sylwia-lask",
    "githubUrl": "https://github.com/sylwia-lask",
    "twitterUsername": "SylwiaLask8977",
    "twitterUrl": "https://x.com/SylwiaLask8977",
    "websiteUrl": "https://www.linkedin.com/in/sylwia-laskowska-5a8467131/",
    "profileImage": "https://media2.dev.to/dynamic/image/width=640..."
  },
  "scrapedAt": "2026-10-20T12:00:00.000Z"
}
`

### Use cases

- Developer relations: Identify active technical writers and open-source contributors.
- Technical recruitment: Source engineering talent through published technical writing.
- Content research: Discover popular topics and discussion themes in software development.
- Community outreach: Connect with developers for open-source project feedback.

### Pricing and efficiency

- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.

# Actor input Schema

## `tag` (type: `string`):

Tag to scrape (e.g. 'javascript', 'python', 'ai', 'react', 'webdev', 'rust', 'devops'). Leave empty to fetch across all tags.

## `timeframe` (type: `string`):

Filter by time period or freshness ranking.

## `maxItems` (type: `integer`):

Max number of articles and tech leads to scrape (up to 1,000).

## `minReactions` (type: `integer`):

Only return articles with at least this number of reactions (e.g. 5, 20, 50).

## `username` (type: `string`):

Specific DEV.to username to scrape articles for.

## Actor input object example

```json
{
  "tag": "javascript",
  "timeframe": "7",
  "maxItems": 50,
  "minReactions": 0
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("adaptive_nightmare/devto-tech-lead-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("adaptive_nightmare/devto-tech-lead-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call adaptive_nightmare/devto-tech-lead-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/devto-tech-lead-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gj8divvftI3e9anK0/builds/ITTcTaj6RJfD6Hrk5/openapi.json