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Netflix Scraper - Scrape Netflix data

RealdataAPI / netflix-scraper

Unlock entertainment insights with our powerful Netflix Scraper tools. Whether you’re tracking new releases, trending shows, or regional libraries, our Netflix Data Scraper makes it simple to Scrape Netflix data accurately and at scale. With a user-friendly Netflix OTT data Scraper, you can collect titles, genres, cast, ratings, and more — without any coding hassle. From the USA, UK, Canada, Australia, Germany, France, Singapore, UAE, and India, Real Data API helps you tap into global content libraries with ease. The Netflix Data Extractor can feed your dashboards or recommendation engines with fresh data. Combine our robust automation with easy scheduling to run your Netflix Scraper daily or weekly, so you never miss new releases or content changes. Perfect for analysts, app developers, or streaming research teams, Real Data API delivers reliable, region-specific results that keep your projects updated, competitive, and insightful.

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What is Netflix Data Scraper, and how does it work?

A Netflix Data Scraper is a smart automation tool that lets you Scrape Netflix data from the platform’s public pages. A Netflix Scraper automatically collects details like movie titles, series info, cast, genres, languages, and trending charts. With a Netflix OTT data Scraper, you can easily extract thousands of listings without manual searching. Advanced setups use a Netflix Data Extractor to structure this data into clean files for research or apps. Real Data API makes running a Netflix Scraper easy — just define your region, run the scrape, and get fresh streaming insights every time.

Why extract data from Netflix?

Streaming platforms change fast — new titles drop daily and old ones rotate out. Using a Netflix Scraper helps you stay on top of these shifts. When you Scrape Netflix data with a Netflix Data Scraper, you can track what’s trending, compare catalogs by region, or build your own content recommendations. A Netflix OTT data Scraper is perfect for entertainment apps, content curators, and researchers who need real-time data on movies, shows, genres, and availability. With a Netflix Data Extractor, you can gather large amounts of content information, analyze viewer trends, and improve user experiences across platforms.

Is it legal to extract Netflix data?

Using a Netflix Scraper is generally legal if you Scrape Netflix data responsibly and only extract what’s publicly available. A Netflix Data Scraper or Netflix OTT data Scraper should never break Netflix’s terms of use or misuse copyrighted material. Always follow fair-use practices: extract metadata like title, genre, or release dates, not actual streaming content. Many developers and researchers use a Netflix Data Extractor purely for academic or competitive insights. Stay compliant with data privacy rules and check local laws before scraping. Real Data API’s solutions are designed for ethical and transparent data gathering.

How can I extract data from Netflix?

You can Scrape Netflix data easily using a Netflix Scraper through Real Data API. Beginners can run a Netflix OTT data Scraper with no coding — just select genres, regions, or keywords. Developers often prefer a Netflix Data Extractor for full automation, pulling data in JSON or CSV for their apps. Set up your Netflix Data Scraper to run daily or weekly, so your catalog stays current. The Netflix Scraper handles dynamic pages, pagination, and region-specific libraries to deliver clean, organized streaming data that powers dashboards, search tools, or personal recommendation engines.

Do you want more Netflix scraping alternatives?

Beyond a Netflix Scraper, Real Data API offers powerful solutions for Netflix, Walmart, eBay, and more. Use the same tech as our Netflix Data Scraper or Netflix OTT data Scraper to collect listings, prices, and reviews from top OTT sites. Need to Scrape Netflix data alongside shopping data? Easily combine the Netflix Data Extractor with e-commerce scrapers for a 360° view of entertainment and OTT trends. Stay competitive with cross-platform insights, boost your apps with richer data, and grow smarter with our trusted scraping tools for every major marketplace you want to track.

Input Options

When setting up your Netflix Data Scraper, you decide exactly what to target. Pick regions, genres, keywords, or specific shows to fine-tune your scrape. With a Netflix Scraper, you can filter by new releases, trending titles, or hidden gems. A Netflix OTT data Scraper supports input via URLs, search filters, or entire categories. For advanced users, a Netflix Data Extractor can pull deep metadata like cast, ratings, or language. These flexible input options make it easy to Scrape Netflix data that fits your unique research, analysis, or app development needs every time.

Sample Result of Netflix Data Scraper

[
  {
    "title": "Stranger Things",
    "type": "TV Series",
    "seasons": 4,
    "genres": ["Drama", "Fantasy", "Horror"],
    "rating": "TV-14",
    "language": "English",
    "cast": ["Millie Bobby Brown", "David Harbour", "Finn Wolfhard"],
    "release_year": 2016,
    "country": "USA",
    "duration": "50 min",
    "synopsis": "When a young boy disappears, his mother and friends must face terrifying supernatural forces to get him back.",
    "watch_url": "https://www.netflix.com/title/80057281"
  },

  {
    "title": "Money Heist",
    "type": "TV Series",
    "seasons": 5,
    "genres": ["Action", "Crime", "Thriller"],
    "rating": "TV-MA",
    "language": "Spanish",
    "cast": ["Úrsula Corberó", "Álvaro Morte", "Itziar Ituño"],
    "release_year": 2017,
    "country": "Spain",
    "duration": "45 min",
    "synopsis": "A criminal mastermind plans the biggest heist in history — to print billions of euros in the Royal Mint of Spain.",
    "watch_url": "https://www.netflix.com/title/80192098"
  },

  {
    "title": "The Crown",
    "type": "TV Series",
    "seasons": 6,
    "genres": ["Biography", "Drama", "History"],
    "rating": "TV-MA",
    "language": "English",
    "cast": ["Olivia Colman", "Tobias Menzies", "Helena Bonham Carter"],
    "release_year": 2016,
    "country": "UK",
    "duration": "58 min",
    "synopsis": "Explores the political conflicts and personal relationships of Queen Elizabeth II’s reign, capturing the defining moments that shaped the latter half of the 20th century. ",
    "watch_url": "https://www.netflix.com/title/80025678"
  },

  {
    "title": "Dark",
    "type": "TV Series",
    "seasons": 3,
    "genres": ["Crime", "Drama", "Mystery"],
    "rating": "TV-MA",
    "language": "German",
    "cast": ["Louis Hofmann", "Karoline Eichhorn", "Lisa Vicari"],
    "release_year": 2017,
    "country": "Germany",
    "duration": "53 min",
    "synopsis": "A family saga with a supernatural twist, set in a German town where the disappearance of two children exposes secrets and hidden connections.",
    "watch_url": "https://www.netflix.com/title/80100172"
  }
]

Integrations with Netflix Data Scraper

Once you Scrape Netflix data, you can easily push it to your favorite tools. With a Netflix Data Scraper, connect your output to Google Sheets, CRMs, or BI dashboards. Developers use the Netflix Data Extractor to feed insights into content recommendation engines. A Netflix OTT data Scraper works perfectly with Zapier or custom webhooks for daily updates. When your Netflix Scraper runs on Real Data API, you can automate exports, schedule tasks, and integrate with cloud databases. Flexible integrations mean your Netflix metadata flows straight into your workflows, so your projects always stay up to date.

Executing Netflix Data Scraping Actor with Real Data API

Running your Netflix Data Scraper with Real Data API is simple and scalable. Launch the Netflix Scraper as an automated actor to Scrape Netflix data on-demand or on a schedule. Use the Netflix OTT data Scraper for no-code tasks or deploy the Netflix Data Extractor for advanced automation with deep metadata fields. The Real Data API handles session management, proxy rotation, and dynamic page navigation, ensuring reliable extractions. Filter your targets with precision and let the Netflix actor do the rest. Daily, weekly, or real-time runs — your Netflix Scraper keeps your content data fresh 24/7.

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You should have a Real Data API account to execute the program examples. Replace in the program using the token of your actor. Read about the live APIs with Real Data API docs for more explanation.

import { RealdataAPIClient } from 'RealDataAPI-client';

// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
    token: '',
});

// Prepare actor input
const input = {
    "categoryOrProductUrls": [
        {
            "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
        }
    ],
    "maxItems": 100,
    "proxyConfiguration": {
        "useRealDataAPIProxy": true
    }
};

(async () => {
    // Run the actor and wait for it to finish
    const run = await client.actor("junglee/amazon-crawler").call(input);

    // Fetch and print actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();

from realdataapi_client import RealdataAPIClient

# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("")

# Prepare the actor input
run_input = {
    "categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
    "maxItems": 100,
    "proxyConfiguration": { "useRealDataAPIProxy": True },
}

# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").call(run_input=run_input)

# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# Set API token
API_TOKEN=<YOUR_API_TOKEN>

# Prepare actor input
cat > input.json <<'EOF'
{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}
EOF

# Run the actor
curl "https://api.realdataapi.com/v2/acts/junglee~amazon-crawler/runs?token=$API_TOKEN" \
  -X POST \
  -d @input.json \
  -H 'Content-Type: application/json'

Additional Resources

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Documentation

Learn more about Real Data API actors
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API reference

Consists of program examples

Place the Amazon product URLs

productUrls Required Array

Put one or more URLs of products from Amazon you wish to extract.

Max reviews

Max reviews Optional Integer

Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.

Link selector

linkSelector Optional String

A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.

Mention personal data

includeGdprSensitive Optional Array

Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.

Reviews sort

sort Optional String

Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.

Options:

RECENT,HELPFUL

Proxy configuration

proxyConfiguration Required Object

You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.

Extended output function

extendedOutputFunction Optional String

Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.

{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "detailedInformation": false,
  "useCaptchaSolver": false,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}

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