#numbeo
8 guides
Scrape Numbeo Traffic and Commute Index by City with Python
Collect Numbeo traffic index values, commute times, modal split, and average travel distance by city with Python and export a comparison-ready dataset.
Scrape Numbeo Healthcare Index by City with Python
Extract Numbeo's current health care rankings by city into a clean CSV or DataFrame, including both the Health Care Index and the expectation index.
Scrape Numbeo Restaurant Prices by City with Python
Extract restaurant and meal-price benchmarks from Numbeo city pages, compare multiple cities, and export the result to CSV.
Scrape Numbeo Quality of Life Index by City with Python
Extract Numbeo's city-level quality-of-life scores, safety, traffic, pollution, and climate indicators into a clean dataset with Python and ProxiesAPI.
Scrape Numbeo Crime Index by City with Python + ProxiesAPI
Extract city crime rankings, safety scores, and comparison-ready rows from Numbeo's public rankings table into JSON and CSV.
Scrape Numbeo Rent Prices and Cost Breakdown by City
Extract Numbeo city tables for rent and living-cost items, normalize ranges, and build a practical city comparison dataset with a validation screenshot.
Scrape Numbeo City Cost-of-Living Comparisons (2-City Diff Tables) with Python
Extract Numbeo city-vs-city cost of living comparison rows into a clean dataset (item, city1, city2, percent diff). Includes screenshot, URL builder, and robust table parsing.
Scrape Numbeo Cost of Living Data with Python (cities, indices, and tables)
Extract Numbeo cost-of-living tables into a structured dataset (with a screenshot), then export to JSON/CSV using ProxiesAPI-backed requests.