# Zenrows blog walks through scraping 2026 FIFA World Cup data across three access patterns

> Zenrows published a tutorial demonstrating how to scrape 2026 FIFA World Cup data from a JSON endpoint behind JavaScript, an API with per-session JWT, and server-rendered HTML using Python and its own scraping API.

- Canonical: https://extractfeed.io/story/zenrows-blog-walks-through-scraping-2026-fifa-world-cup-data-31c6573/
- JSON: https://extractfeed.io/api/v1/stories/zenrows-blog-walks-through-scraping-2026-fifa-world-cup-data-31c6573.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-05T14:58:35.327528+00:00 · Updated: 2026-09-05T14:58:35.327528+00:00 · Edition: 2026-09-06
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Zenrows: Zenrows published a tutorial demonstrating how to scrape 2026 FIFA World Cup data from a JSON endpoint behind JavaScript, an API with per-session JWT, and server-rendered HTML using Python and its own scraping API.

## Why it matters
The post serves as a practical case study for handling three common anti-bot and access-control patterns in a single project, showing how a commercial scraping tool can unify workflows that would otherwise require separate approaches. For practitioners, it highlights the growing expectation that scraping APIs must handle not just simple HTML but also authenticated endpoints and JavaScript-rendered data, which is increasingly the norm for modern sports and event sites.

## Sources
- Primary source · Zenrows · 2026-08-31 — [Scraping 2026 FIFA World Cup data with Python and Zenrows](https://www.zenrows.com/blog/scrape-2026-fifa-world-cup-data-python)

## Watch next
Will Zenrows or competitors release dedicated integrations for live sports data feeds that bypass scraping entirely?

Topics: Zenrows, FIFA, web-scraping, python, json-endpoints, jwt-authentication, javascript-rendering, server-rendered-html, tutorial

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