Netflix Catalog & Search Scraper (Cheapest)
Pricing
from $2.50 / 1,000 results
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
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.
π 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
π₯ Input
The actor accepts the following JSON input:
{"keywords": ["fashion", "action", "comedy"],"maxItems": 20}
Input Fields
| Field | Type | Description |
|---|---|---|
| keywords | array | Search keywords for Netflix titles |
| maxItems | number | Maximum number of results per run |
π€ 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"}}
βοΈ How it works
- The scraper searches Netflix catalog using provided keywords
- It captures search results from the site
- Extracts structured metadata for each title
- Normalizes data into clean JSON format
- Stores results in Apify dataset
π§ Use Cases
- Movie research
- Content discovery tools
- Netflix catalog analysis
- Market research
- Recommendation systems
π Output Storage
Results are stored in the default dataset and can be accessed via:
https://api.apify.com/datasets/xxx/items
β‘ Performance
- Optimized for batch keyword search
- Lightweight browser usage
- Built-in retry handling
- Stable request interception