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Netflix Tudum Top 10 Scraper

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Netflix Tudum Top 10 Scraper

Extract Netflix's official weekly Top 10 rankings — films, TV, English and non-English — across 90+ countries and globally. This actor downloads the full historical time-series from Netflix Tudum's published TSV datasets and outputs one normalized record per ranked title per week per scope.

What data you get

Each record contains:

Field Description
show_title Title of the film or TV show
season_title Season label (N/A for films)
week Week ending date (Sunday, YYYY-MM-DD format)
category Content category — Films, TV, Films (English), TV (Non-English), etc.
weekly_rank Ranking position (1–10) within the category for that week
cumulative_weeks_in_top_10 Total weeks this title has appeared in the Top 10
scope global or country
country_name Country name (country scope only)
country_iso2 ISO 3166-1 alpha-2 country code (country scope only)
weekly_hours_viewed Total hours viewed globally that week (global scope only)
weekly_views Total number of plays globally that week (global scope only)
runtime Title runtime in hours (global scope only)
source_file Source TSV filename

Global scope includes over 10,000 weekly records (back to 2021) with hours viewed, views, and runtime. Country scope covers 90+ countries with over 470,000 weekly records — the full country-by-country breakdown since Netflix began publishing this data.

Use cases

  • Media analysis: track which titles dominate in specific markets and categories over time
  • Content strategy: identify patterns in what performs globally vs. regionally
  • Entertainment market research: benchmark Netflix content performance for hedge fund TMT desks, trade press, and consultancies
  • Data journalism: build weekly Top 10 trackers and trend stories

Input options

Parameter Type Default Description
scope string both Which dataset to fetch: global, countries, or both
maxItems integer 0 (unlimited) Cap the total number of records. Use 0 for full history

How it works

Netflix publishes its official Top 10 as static TSV files at netflix.com/tudum/top10/data/:

  • all-weeks-global.tsv — global rankings with hours viewed, view counts, and runtime
  • all-weeks-countries.tsv — per-country rankings across 90+ countries

The actor fetches these files directly with a plain HTTP GET — no browser rendering, no proxy, no authentication. Each file is parsed in memory and normalized into a flat record format matching the output schema above.

Performance

Scope Records Typical run time
global ~10,000 Under 5 seconds
countries ~470,000 Under 30 seconds
both ~480,000 Under 35 seconds

Memory usage is low (256 MB default). The datasets are updated weekly by Netflix — schedule a weekly run to keep your dataset current.

Example output

{
  "show_title": "Swapped",
  "season_title": "N/A",
  "week": "2026-05-10",
  "category": "Films (English)",
  "weekly_rank": 1,
  "cumulative_weeks_in_top_10": 2,
  "scope": "global",
  "country_name": "",
  "country_iso2": "",
  "weekly_hours_viewed": 65800000,
  "weekly_views": 38700000,
  "runtime": 1.7,
  "source_file": "all-weeks-global.tsv"
}

Scheduled runs

For continuous data collection, set up a scheduled run with scope: both and maxItems: 0. Netflix updates the TSV files weekly (typically Monday). A weekly schedule keeps your dataset current with minimal compute cost.

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