# Scrapfly publishes tutorial on scraping Skyscanner flight prices with Python

> Scrapfly released a blog post showing how to extract flight data from Skyscanner by constructing deep-link URLs and capturing itinerary JSON from the rendered page.

- Canonical: https://extractfeed.io/story/scrapfly-publishes-tutorial-on-scraping-skyscanner-flight-pr-6f59aa0/
- JSON: https://extractfeed.io/api/v1/stories/scrapfly-publishes-tutorial-on-scraping-skyscanner-flight-pr-6f59aa0.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-05T15:10:59.098059+00:00 · Updated: 2026-09-05T15:10:59.098059+00:00 · Edition: 2026-09-06
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Scrapfly: Scrapfly released a blog post showing how to extract flight data from Skyscanner by constructing deep-link URLs and capturing itinerary JSON from the rendered page.

## Why it matters
Travel price scraping is a high-demand use case, but aggregators like Skyscanner employ significant anti-bot measures. This tutorial provides a practical, code-level approach that practitioners can adapt, though it also highlights the cat-and-mouse nature of scraping such platforms, as the methods may break with site updates.

## Sources
- Primary source · Scrapfly · 2026-08-14 — [How to Scrape Skyscanner Flight Prices in Python \(2026\)](https://scrapfly.io/blog/posts/how-to-scrape-skyscanner)

## Watch next
Will Skyscanner update its frontend or API to break the deep-link and JSON capture method described in this tutorial?

Topics: Scrapfly, Skyscanner, web-scraping, python, travel-data, flight-prices, json-extraction

---
extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md