Web Scraping TripAdvisor: Reviews, Images & Data Extraction
Overview
A high-throughput Python scraper that collects TripAdvisor listings, descriptions, and images at scale. Text is stored in PostgreSQL with categorized location tables, while images are uploaded to Dropbox. Rotating proxies enable parallel collection across many regions.
Outcome
Built a continuously refreshed TripAdvisor dataset that the client uses for travel-content and location-intelligence products.
Architecture & Pipeline
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01
TripAdvisor
Source site
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02
Parallel Scrapers
Rotating proxies
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03
Listings + Descriptions
Text extraction
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04
PostgreSQL
Categorized location tables
- PostgreSQL
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05
Image Extraction
Per-listing
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06
Dropbox
Image storage
- Dropbox
End-to-end flow, in order. Scroll sideways on a narrow screen.
Key Features
- Parallel scraping with rotating proxies for large-scale extraction
- Categorized PostgreSQL schema for fast querying
- Image pipeline with automatic upload to Dropbox
- Scheduled incremental updates for freshness
- Error handling with retries and run logs