# ScreenRant News & Reviews Scraper (`lulzasaur/screenrant-scraper`) Actor

Scrape ScreenRant movie/TV news and reviews. Get titles, authors, ratings, full text, JSON-LD structured data, and publication dates.

- **URL**: https://apify.com/lulzasaur/screenrant-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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.

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

## ScreenRant News & Reviews Scraper

Scrape movie/TV news and reviews from [ScreenRant.com](https://screenrant.com). Extracts structured data from JSON-LD including article text, authors, publication dates, movie/show ratings, and tags.

### Features

- **Category browsing** — Scrape homepage, movie reviews, TV reviews, or gaming articles
- **JSON-LD extraction** — Structured Article, Movie/TVSeries, and BreadcrumbList schemas
- **Review ratings** — Movie and TV show ratings (e.g., 4/10) from structured review data
- **Full article text** — Complete body text from each article page
- **Rich metadata** — Author, publish/modify dates, categories, tags, images

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `category` | select | `all` | Content category: all, movie-reviews, tv-reviews, gaming |
| `maxResults` | integer | `50` | Max articles to scrape (1-500) |
| `proxyConfiguration` | object | — | Optional proxy configuration |

### Output

Each result contains:

| Field | Description |
|-------|-------------|
| `title` | Article headline |
| `url` | Full article URL |
| `author` | Author name(s) |
| `publishedAt` | ISO 8601 publication date |
| `modifiedAt` | ISO 8601 last modified date |
| `category` | Article section/category |
| `description` | Article summary/description |
| `bodyText` | Full article body text |
| `imageUrl` | Featured image URL |
| `movieName` | Movie/TV show name (reviews only) |
| `movieRating` | Review rating e.g. "4/10" (reviews only) |
| `tags` | Array of topic tags |
| `scrapedAt` | Scrape timestamp |

### Example Output

```json
{
    "title": "Desert Warrior Review: An Awkward Epic That Wants So Badly To Be Cool",
    "url": "https://screenrant.com/desert-warrior-movie-review/",
    "author": "Alex Harrison",
    "publishedAt": "2026-04-24T19:58:59Z",
    "modifiedAt": "2026-04-24T19:58:59Z",
    "category": "Desert Warrior",
    "description": "Anthony Mackie's historical action movie wants to channel the mythic feeling...",
    "bodyText": "Once upon a time, there was a lot riding on Desert Warrior...",
    "imageUrl": "https://static0.srcdn.com/wordpress/wp-content/uploads/2026/04/desert-warrior.jpg",
    "movieName": "Desert Warrior",
    "movieRating": "4/10",
    "tags": ["Desert Warrior"],
    "scrapedAt": "2026-04-25T12:00:00.000Z"
}
```

### Cost

Uses pay-per-event pricing. Each scraped article counts as one dataset item.

# Actor input Schema

## `category` (type: `string`):

Browse a specific content category. 'all' scrapes the homepage.

## `maxResults` (type: `integer`):

Maximum number of articles to scrape (each article page is fetched for full details).

## `proxyConfiguration` (type: `object`):

Optional proxy to use for requests.

## Actor input object example

```json
{
  "category": "all",
  "maxResults": 50
}
```

# 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("lulzasaur/screenrant-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("lulzasaur/screenrant-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 lulzasaur/screenrant-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/screenrant-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/Cjio1hqwldwMfgRV9/builds/fqApEWmMvKv7UkLF4/openapi.json