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Zee5 Movies Details Spider

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from $9.00 / 1,000 results

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Zee5 Movies Details Spider

Zee5 Movies Details Spider

Extract detailed movie metadata from Zee5 pages, including titles, cast, genres, ratings, and languages. Ideal for researchers, developers, and businesses automating content analysis. Features robust scraping, batch URL processing, and clean JSON output for easy integration....

Pricing

from $9.00 / 1,000 results

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GetDataForMe

GetDataForMe

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1

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4 days ago

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Description

Extract detailed movie metadata from Zee5 pages, including titles, cast, genres, ratings, and languages. Ideal for researchers, developers, and businesses automating content analysis. Features robust scraping, batch URL processing, and clean JSON output for easy integration....


Zee5 Movies Details Spider

Introduction

The Zee5 Movies Details Spider is a powerful Apify Actor designed to extract comprehensive details from Zee5 movie pages. It scrapes key information such as titles, descriptions, cast, crew, genres, and more, providing structured data for analysis and integration. This tool is ideal for developers, researchers, and businesses needing reliable, automated access to Zee5's movie content without manual browsing.

Features

  • Comprehensive Data Extraction: Retrieves detailed metadata including content ID, titles, descriptions, duration, actors, directors, genres, tags, age ratings, languages, and more.
  • High Reliability: Built with robust error handling to ensure consistent data retrieval from Zee5's dynamic pages.
  • Flexible Input: Accepts multiple URLs for batch processing, allowing efficient scraping of multiple movies in a single run.
  • Structured Output: Delivers clean JSON data, easy to parse and integrate into databases, APIs, or analytics tools.
  • Performance Optimized: Utilizes Apify's scalable infrastructure for fast, concurrent scraping with minimal resource overhead.
  • Multi-Language Support: Captures audio and subtitle languages, supporting global content analysis.
  • Business-Ready: Includes fields like business type and content owner for commercial and research applications.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayYesAn array of Zee5 movie or web-series URLs to scrape. Each URL must be a valid HTTP/HTTPS link pointing to a Zee5 content page. Minimum 1 URL required.["https://www.zee5.com/global/movies/details/mana-shankara-vara-prasad-garu/0-0-1z5904059"]

Example Usage

Input JSON

{
"Urls": [
"https://www.zee5.com/global/movies/details/mana-shankara-vara-prasad-garu/0-0-1z5904059"
]
}

Output JSON

[
{
"content_id": "0-0-1z5904059",
"title": "Mana Shankara Vara Prasad Garu",
"original_title": "Mana Shankara Vara Prasad Garu",
"description": "Security Officer Shankara Vara Prasad changes his identity to stay close to his estranged wife and kids. When a national threat and a rival in love fall into the mix, can Shankara Garu manage it all?",
"duration": 9326,
"asset_type": 0,
"asset_subtype": "movie",
"actors": [
"Chiranjeevi:Shankara Vara Prasad",
"Nayanthara:Sasirekha",
"Venkatesh:Venky Gowda",
"Catherine Tresa:Jwaala",
"Sachin Khedekar:GVR",
"Zarina Wahab:Vara Prasad's Mother",
"Harsha Vardhan:Narayana"
],
"directors": [
"Anil Ravipudi"
],
"genres": [
"Action",
"Comedy"
],
"tags": [
"Mana Shankara Vara Prasad Garu",
"Mana Shankara Vara Prasad Garu movie",
"Mana Shankara Vara Prasad Garu 2026 movie",
"Shankara Vara Prasad Telugu movie",
"2026 Telugu movie",
"Shankara Prasad Telugu movie",
"2026 action movie Telugu",
"Chiranjeevi",
"Nayanthara",
"Venkatesh",
"Catherine Tresa",
"Sachin Khedekar",
"Zarina Wahab",
"Harsha Vardhan",
"Anil Ravipudi",
"Chiranjeevi films",
"security",
"family drama",
"romance",
"romantic rivalry",
"security officer",
"masala action",
"Telugu masala action movie",
"google watch",
"media action",
"4k_hevc",
"atmos",
"dolbyplus"
],
"age_rating": "U/A",
"age_rating_new": "U/A 13+",
"content_descriptors": [
"Comedy",
"Mild Romance",
"Moderate Violence",
"Smoking"
],
"primary_language": "te",
"languages": [
"te",
"hi",
"ta",
"kn",
"ml",
"mr",
"bn"
],
"audio_languages": [
"te",
"hi",
"ta",
"kn",
"ml",
"mr",
"bn"
],
"subtitle_languages": [
"en"
],
"is_multi_audio": true,
"business_type": "premium_downloadable",
"content_owner": "Zee Entertainment Enterprises Limited",
"release_date": "2026-01-12T00:00:00",
"kids_safe": false,
"on_air": "true",
"actor_id": "uxuYfCwe03BHsbb0B",
"run_id": "yvjkOB6AhpLCTxOVy"
}
]

Use Cases

  • Market Research and Analysis: Analyze trends in genres, cast popularity, and release dates across Zee5's catalog to inform content strategies.
  • Competitive Intelligence: Monitor rival platforms' offerings by comparing movie details, ratings, and descriptors.
  • Content Aggregation: Build comprehensive databases of Indian cinema for streaming aggregators or recommendation engines.
  • Academic Research: Study cultural representations in films through metadata like tags, languages, and content descriptors.
  • Business Automation: Automate data feeds for media monitoring tools or integrate into ETL pipelines for real-time insights.
  • Personal Projects: Create custom movie recommendation apps or personal watchlists enriched with detailed Zee5 data.

Installation and Usage

  1. Search for "Zee5 Movies Details Spider" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters by providing the list of Zee5 URLs.
  4. Click "Start" to begin extraction.
  5. Monitor progress in the log.
  6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs an array of JSON objects, each representing a scraped movie. Key fields include:

  • content_id: Unique identifier for the content.
  • title and original_title: Movie titles.
  • description: Synopsis of the movie.
  • duration: Length in seconds.
  • actors, directors, genres, tags: Arrays of cast, crew, categories, and keywords.
  • age_rating and content_descriptors: Suitability information.
  • languages, audio_languages, subtitle_languages: Language details.
  • release_date: Premiere date in ISO format.
  • Other metadata like business_type and content_owner for business context.

Data is structured for easy parsing, with arrays for multi-value fields and booleans for flags like is_multi_audio.

Support

For custom/simplified outputs or bug reports, please contact:

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