Netflix Catalog & Search Scraper (Cheapest) avatar

Netflix Catalog & Search Scraper (Cheapest)

Pricing

from $2.50 / 1,000 results

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Netflix Catalog & Search Scraper (Cheapest)

Netflix Catalog & Search Scraper (Cheapest)

Fast and reliable scraper to extract movie and series details from the Netflix catalog. Search by keywords to get structured data including titles, ratings, synopsis, IDs (Netflix/IMDb), and release years

Pricing

from $2.50 / 1,000 results

Rating

0.0

(0)

Developer

Ahmed Jasarevic

Ahmed Jasarevic

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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Netflix Search Scraper

A high-performance Netflix search scraper that extracts structured movie and TV show data based on keywords.

It collects titles, metadata, ratings, images, and availability information from Netflix search results and returns clean structured output.


πŸš€ Features

  • Search Netflix catalog by keyword
  • Extract movies and TV shows
  • Get structured metadata (title, year, rating, synopsis)
  • Image and poster support
  • Country availability list
  • IMDb ID extraction when available
  • Fast and lightweight scraping engine

πŸ“₯ Input

The actor accepts the following JSON input:

{
"keywords": ["fashion", "action", "comedy"],
"maxItems": 20
}

Input Fields

FieldTypeDescription
keywordsarraySearch keywords for Netflix titles
maxItemsnumberMaximum number of results per run

πŸ“€ Output

Each item in the dataset looks like this:

{
"keyword": "fashion",
"id": 52454,
"title": "Maggie and Bianca: Fashion Friends",
"slug": "maggie-and-bianca-fashion-friends",
"type": "series",
"year": 2016,
"rating": 2.939394,
"synopsis": "Originally polar opposites, an American fashion student and the daughter of an industry mogul form an everlasting bond and start a rock band in Milan.",
"image": "https://occ-0-1926-41.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABbK-tMDwG6ld0MhF2X26AUI6DbZgIFFTg_A6XU1ip6NDcCSF0qNVQ5ZGOxiBez-eThwvxkZnW_h5d6tqLts_Wp0ISw.jpg?r=558",
"poster": "https://occ-0-1926-41.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABbK-tMDwG6ld0MhF2X26AUI6DbZgIFFTg_A6XU1ip6NDcCSF0qNVQ5ZGOxiBez-eThwvxkZnW_h5d6tqLts_Wp0ISw.jpg?r=558",
"netflixId": 80144408,
"imdbId": "tt6155478",
"clist": {
"IT": "Italy"
},
"runtime": null,
"top250": null,
"raw": {
"id": 52454,
"title": "Maggie and Bianca: Fashion Friends",
"slug": "maggie-and-bianca-fashion-friends",
"img": "https://occ-0-1926-41.1.nflxso.net/dnm/api/v6/evlCitJPPCVCry0BZlEFb5-QjKc/AAAABbK-tMDwG6ld0MhF2X26AUI6DbZgIFFTg_A6XU1ip6NDcCSF0qNVQ5ZGOxiBez-eThwvxkZnW_h5d6tqLts_Wp0ISw.jpg?r=558",
"vtype": "series",
"nfid": 80144408,
"synopsis": "Originally polar opposites, an American fashion student and the daughter of an industry mogul form an everlasting bond and start a rock band in Milan.",
"avgrating": 2.939394,
"year": 2016,
"runtime": 0,
"imdbid": "tt6155478",
"poster": "N/A",
"top250": 0,
"top250tv": 0,
"clist": "\"IT\":\"Italy\"",
"titledate": "2017-03-31"
}
}

βš™οΈ How it works

  1. The scraper searches Netflix catalog using provided keywords
  2. It captures search results from the site
  3. Extracts structured metadata for each title
  4. Normalizes data into clean JSON format
  5. Stores results in Apify dataset

🧠 Use Cases

  • Movie research
  • Content discovery tools
  • Netflix catalog analysis
  • Market research
  • Recommendation systems

πŸ“Š Output Storage

Results are stored in the default dataset and can be accessed via:

https://api.apify.com/datasets/xxx/items

⚑ Performance

  • Optimized for batch keyword search
  • Lightweight browser usage
  • Built-in retry handling
  • Stable request interception