# Netflix Top 10 Scraper: Weekly Global & Country Charts (`bright_oven/netflix-top10`) Actor

Netflix's official weekly Top 10 charts as structured JSON: films and TV, global and all ~90 countries, with ranks, weekly views, hours viewed and weeks in top 10. Latest week or full history back to 2021.

- **URL**: https://apify.com/bright\_oven/netflix-top10.md
- **Developed by:** [John Pork](https://apify.com/bright_oven) (community)
- **Categories:** News, SEO tools, Social media
- **Stats:** 17 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.02 / 1,000 netflix charts

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

## Netflix Top 10 Scraper — Weekly Global & Country Charts

Netflix's official weekly **Top 10** data as clean JSON — straight from Netflix's published dataset, not a third-party guess. Films and TV, **global plus ~90 country charts**, with weekly views, hours viewed, runtime and cumulative weeks in the Top 10. History back to mid-2021.

### Output example

```json
{
  "scope": "global",
  "week": "2026-06-07",
  "category": "Films (English)",
  "rank": 1,
  "title": "The Beekeeper 2",
  "weeklyViews": 31200000,
  "weeklyHoursViewed": 54100000,
  "runtime": 1.85,
  "cumulativeWeeksInTop10": 2
}
```

Country records carry `country` and `countryIso` instead of the views fields (Netflix publishes views only for global charts).

### Use cases

- **Content & streaming analytics** — track titles across countries and weeks
- **Prediction market resolution** — settle "Will X be the #1 Netflix show this week?" against the official chart
- **Entertainment journalism & research** — full historical dataset in one run
- **Talent & licensing scouting** — what is breaking out in which territory

### Input

```json
{
  "scope": "both",
  "weeks": "4",
  "category": "films",
  "countries": ["United States", "Brazil"]
}
```

### Run via API

```bash
curl -s "https://api.apify.com/v2/acts/%3Cusername%3E~netflix-top10/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -X POST -H 'Content-Type: application/json' \
  -d '{"scope": "global", "weeks": "latest"}'
```

### FAQ

**How fresh?** Netflix publishes each week's charts on Tuesdays. Schedule a weekly run.

**Why are country views missing?** Netflix only publishes view counts for global charts; country charts are rank-only (plus weeks-in-top-10).

# Actor input Schema

## `scope` (type: `string`):

Global charts, per-country charts, or both.

## `weeks` (type: `string`):

"latest" for the most recent week only, "all" for full history (2021+), or a number for the last N weeks.

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

Restrict to films, TV, or include both.

## `countries` (type: `array`):

Only these countries (names as Netflix lists them, e.g. "United States", "Brazil"). Empty = all countries.

## Actor input object example

```json
{
  "scope": "global",
  "weeks": "latest",
  "category": "all"
}
```

# Actor output Schema

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

Charged once per 100 chart rows returned.

# 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("bright_oven/netflix-top10").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("bright_oven/netflix-top10").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 bright_oven/netflix-top10 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bright_oven/netflix-top10"
        }
    }
}

```

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/eUaGWwxRsPOXjbLS9/builds/V0BYZK2TIhvQh8CbB/openapi.json