devRant Scraper

Scrapes public devRant feed data from the public devRant JSON endpoint. It supports the default algorithmic feed, recent/top sorting, time ranges, optional public search terms, pagination, deduplication, and structured rant records.

Input

• query: optional public search term.
• sort: algo, recent, or top.
• range: day, week, month, or all.
• maxResults: 1–500, default 25.
• pageSize: 1–50, default 50.
• requestDelayMs: 500–10,000, default 1,000.
• includeLinks: include links returned by devRant, default true.

Each dataset item is one public rant with text, score, timestamp, author summary, tags, vote counts, comments count, links, and source metadata. The run summary is stored in the OUTPUT key-value record.

Pricing and limitations

The primary PPE event is $0.003 per unique rant record delivered. The actor does not access private accounts, perform authentication, vote, post, bypass challenges, or defeat access controls. A source outage or block produces a truthful diagnostic with no fabricated records.

Use the source responsibly and follow devRant terms and applicable laws. This actor is private until the owner reviews permissions, branding, and publication settings.

Local development

npm ci
npm test
npm run validate:schema

What data does devRant Scraper return?

Field	Type	Description
id	integer	Stable public devRant rant identifier.
url	string	Public devRant URL.
text	string	Public rant text.
score	number	devRant score returned by the public source.
createdAt	string or null	Rant creation timestamp when returned by the source.
author	object	Author
tags	array	Tags
commentsCount	integer	Comments
upvotes	integer	Upvotes
downvotes	integer	Downvotes
attachedImageUrl	string or null	Attached image
links	array	Extracted links
sort	string	Sort mode
range	string	Range
query	string or null	Query
sourceUrl	string	Source API URL
scrapedAt	string	Scraped at

Use cases

• Collect public content and engagement signals for research and reporting.
• Add a repeatable structured-data step to applications, agents, and automation pipelines.
• Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
• Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.
• Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

Input example

{
  "query": "",
  "sort": "algo",
  "range": "day",
  "maxResults": 25,
  "pageSize": 50,
  "requestDelayMs": 1000,
  "includeLinks": true
}

Output example

{
  "id": 1,
  "url": "Example Rant URL",
  "text": "Example Rant text",
  "score": 1,
  "createdAt": "Example Created at",
  "author": {},
  "tags": [],
  "commentsCount": 1,
  "upvotes": 1,
  "downvotes": 1,
  "attachedImageUrl": "Example Attached image",
  "links": []
}

The exact fields depend on the selected input and what the public source exposes. Use the dataset schema as the machine-readable contract and retain source URLs for verification.

Run devRant Scraper with the Apify API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/devrant-scraper').call({
  "query": "",
  "sort": "algo",
  "range": "day",
  "maxResults": 25,
  "pageSize": 50,
  "requestDelayMs": 1000,
  "includeLinks": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

Responsible use

Use this Actor only for data you are authorized to access. Follow the target website's terms, robots and access policies, and applicable privacy, database, copyright, anti-spam, and data-protection laws. Do not use it to bypass authentication or other access controls, collect private data, harass people, or make high-impact decisions without independent verification.

Frequently asked questions

Can I schedule devRant Scraper?

Yes. Use an Apify schedule to run the same saved input at a chosen interval, then connect a webhook or integration to process the dataset when the run finishes.

How should I test a new input?

Begin with the prefilled example or a small limit. Confirm that the output fields, source coverage, runtime, and live charges match your workflow before increasing the scope.

How do I export the results?

Open the run's default dataset in Apify Console and export JSON, CSV, Excel, XML, or RSS. Applications can retrieve the same records through the Apify API client or REST dataset endpoint.

Can an AI agent call this Actor?

Yes. Add muhammadafzal/devrant-scraper through the hosted Apify MCP server or call it through the API. The Actor's input and dataset schemas help agents construct valid requests and interpret returned records.