Go to Data Bounty Hub
Netflix Video Crawling Requirements
01KH5Z3A7AX87RYRV6V27KGTDJ
Expected Completion Date: 2026-02-28
Publish Date: 2026-02-11
Crawl public video metadata from the Netflix platform, supporting multi-condition filtering including keywords, types, regions, etc.Export complete structured fields such as title, description, cast, cover image, and output data in JSON or CSV format.
I. Search Criteria 📌
Supports combined multi-condition filtering to precisely define the crawling scope and improve data collection efficiency. Specific conditions are listed below:
| Filter Type | Description |
|---|---|
| Keyword Filter | Supports fuzzy matching against video titles and descriptions for fast retrieval of target content. |
| Type Filter | Classifies by video type (movie, TV series, documentary, etc.), with single or multiple selection available. |
| Region Filter | Filters by region as defined on the Netflix platform, suitable for crawling content available in different regions. |
| Year Filter | Supports precise filtering by single year or range filtering (e.g., 2020–2024). |
| Popularity Filter | Sorts and filters by real-time platform popularity, prioritizing high-popularity, high-exposure content. |
II. Export Fields 📋
After crawling, the following complete structured fields are exported without redundancy or missing data to meet development and usage requirements. Field categories are listed below:
| Field Category | Specific Fields | Notes |
|---|---|---|
| Basic Core Fields | Title, Description, Type, Year | Full plot/content description; multiple type labels supported. |
| Basic Core Fields | Cast, Director, Rating, Duration | Cast sorted by priority; duration in minutes. |
| Basic Core Fields | Region, Language | Region refers to content release/origin; language includes original and dubbed versions. |
| Series Exclusive Fields | Season, Episode, Episode Info | Exported only for TV series; includes episode title, description, and duration. |
| Media Resource Fields | Cover Image, Thumbnail | All provided as high-definition URLs; thumbnails optimized for display. |
III. Output Formats 📊
Two universal structured formats are available for export based on different usage scenarios:
| Output Format | Application Scenarios | Key Advantages |
|---|---|---|
| JSON | Program invocation, batch system import, secondary development | Clear structure, suitable for code parsing and automated processing. |
| CSV | Tabular viewing, data filtering, Excel editing, data statistics | Simple and intuitive, easy to operate, ideal for manual analysis. |