# devRant Scraper | Developer Community Posts (`parseforge/devrant-scraper`) Actor

Scrape posts from devRant including rant text, tags, upvotes, comment counts, authors and timestamps. Build datasets of developer community sentiment and humor for trend analysis, content research and natural language processing projects at scale across the full catalog

- **URL**: https://apify.com/parseforge/devrant-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Social media, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 90.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 😤 DevRant Scraper

> 🚀 **Export developer rants, scores, and tags from DevRant in seconds.** No login required, no API key needed - just point, click, and download.

The DevRant Scraper pulls developer rants directly from DevRant's public API. DevRant is a community where developers vent their frustrations, share wins, and discuss the everyday chaos of software development. This actor exports structured data including rant content, scores, comment counts, author info, tags, post timestamps, and attached images - ready for CSV, Excel, JSON, or XML download.

DevRant hosts hundreds of thousands of rants from developers worldwide. The API provides three feed modes: algo (community-curated), recent (chronological), and top (highest scored over a time range). All data is public and requires no authentication.

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Researchers | Study developer sentiment, frustrations, and community trends |
| Data Scientists | Build NLP models on developer-written text |
| HR/Recruiters | Understand what frustrates developers in real workplaces |
| Product Managers | Discover pain points in popular tools and frameworks |
| Journalists | Source developer opinion for tech articles |
| Community Managers | Monitor discussions around specific technologies via tags |

### 📋 What the DevRant Scraper does

- Fetches rants from the DevRant public API with no authentication required
- Supports three sort modes: algo (recommended feed), recent (newest first), top (highest scored)
- For top rants, filters by time range: today, this week, this month, or all time
- Automatically paginates through the feed to reach your desired item count
- Extracts all 10 fields per rant: ID, content, score, comment count, author, author score, tags, post time, image URL, and scrape timestamp
- Free users get a 10-item preview; paid users can extract up to 1,000,000 rants

> 💡 **Why it matters:** DevRant captures authentic developer voice - unfiltered opinions on tools, languages, workplaces, and practices. This dataset is uniquely valuable for sentiment analysis, developer experience research, and understanding real-world pain points in software engineering.

### 📊 Data fields

Each record includes: `author`, `authorScore`, `commentCount`, `content`, `imageUrl`, `postedAt`, `rantId`, `results`, `score`, `scrapedAt`, `tags`. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

### 🚀 How to use

1. [Create a free Apify account](https://console.apify.com/sign-up?fpr=vmoqkp) (includes $5 credit)
2. Open the **DevRant Scraper** actor page
3. Choose your sort mode (`algo`, `recent`, or `top`)
4. Set `maxItems` to your desired count (free users get 10 items preview)
5. Click **Start** and wait a few seconds
6. Download your dataset as CSV, Excel, JSON, or XML

### 🔗 Recommended Actors

| Actor | Description |
|---|---|
| [ParseForge / Jobrapido Scraper](https://apify.com/parseforge/jobrapido-scraper) | Export job listings from Jobrapido across 50+ country sites |
| [ParseForge / CarsDB Scraper](https://apify.com/parseforge/carsdb-scraper) | Scrape used and new car listings from Myanmar's largest auto marketplace |
| [ParseForge / Bandcamp Scraper](https://apify.com/parseforge/bandcamp-scraper) | Export music, albums, and artist data from Bandcamp |

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 50+ ready-to-use scrapers across jobs, automotive, finance, government data, and more.

> **⚠️ Disclaimer:** Independent tool, not affiliated with DevRant. Only publicly available data collected. This actor uses DevRant's public API; use of collected data is subject to DevRant's terms of service. Always review and comply with applicable terms of service and data protection regulations before using scraped data commercially.

### 🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our [contact form](https://tally.so/r/BzdKgA) or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our [Discord](https://parseforge.co/discord). It's the best place to get support and suggest new actors.

# Actor input Schema

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

How many rants to collect per run.

## `sort` (type: `string`):

Sort mode for rants. 'top' requires a range to be set.

## `range` (type: `string`):

Time range when sort=top. Ignored for algo and recent.

## Actor input object example

```json
{
  "maxItems": 10,
  "sort": "algo",
  "range": "day"
}
```

# 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 = {
    "maxItems": 10,
    "sort": "algo",
    "range": "day"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/devrant-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 = {
    "maxItems": 10,
    "sort": "algo",
    "range": "day",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/devrant-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "maxItems": 10,
  "sort": "algo",
  "range": "day"
}' |
apify call parseforge/devrant-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/devrant-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tnJYszRFHkDDxl4hc/builds/KhwQMXK4De5KqFprT/openapi.json