Wikivoyage Travel Articles Scraper
Pricing
from $10.00 / 1,000 result items
Wikivoyage Travel Articles Scraper
Pull travel guide articles from Wikivoyage. Returns destination title, description, full extract, thumbnail, language, page ID, geo coordinates (when available), content URLs, last revision timestamp. Look up specific destinations or search by keyword. Useful for travel apps and tourism research.
Pricing
from $10.00 / 1,000 result items
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ParseForge
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1
Monthly active users
6 days ago
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🌍 Wikivoyage Travel Article Scraper
🚀 Pull Wikivoyage city and country articles with description, image, geo-coordinates, language metadata, Wikidata link. Lookup or search.
The Wikivoyage Travel Article Scraper pulls structured travel-article summaries from Wikivoyage (the Wikipedia for travel guides). Output includes thumbnail and original-image URLs (with widths and heights), page ID, title fields (raw, display, normalized, canonical), description and description source, summary extract (plain + HTML), page type, namespace, Wikibase item ID, language code and direction, last-modified timestamp, revision ID, geographic coordinates, and desktop / mobile / edit / revisions URLs.
Two modes in one Actor: lookup by article title (one per line - cities, countries, regions, parks, etc), and search via the opensearch API. The dataset covers Wikivoyage in 30+ languages.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Travel apps, content marketers, journalists, education platforms, ML researchers, hospitality tools | Travel-app destination summaries, content marketing, multi-language travel content, ML training, education |
📋 What the Wikivoyage Travel Article Scraper does
Five filtering workflows in a single run:
- 🔍 Lookup mode. One title per line, returns rich summary per place.
- 🔍 Search mode. Wikivoyage opensearch with ranked matches.
- 🌍 30+ languages. English, Spanish, French, German, Italian, Russian, Chinese, Japanese, etc.
- 🗺️ Coordinates included. Lat / lng for places when geo-tagged.
- 🔗 Wikidata link. Direct Wikibase item ID for cross-language joins.
💡 Why it matters: clean, server-side filtering and fresh data on every run.
📊 Data fields
Each record includes: coordinatesLat, coordinatesLng, description, desktopUrl, extract, language, thumbnailUrl, timestamp, title. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
🚀 How to use
- 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
- 🌐 Open the Actor. Find the Wikivoyage Travel Article Scraper on the Apify Store.
- 🎯 Set input. Pick filters and
maxItems. - 🚀 Run it. Click Start.
- 📥 Download. Grab results in the Dataset tab as CSV, Excel, JSON, or XML.
⏱️ Total time from signup to dataset: 3-5 minutes. No coding required.
🔗 Recommended Actors
- 🌍 REST Countries Reference Data - Every country with flag, capital, currency, languages
- 🌍 GeoNames Places + Postal Codes - 12M+ places with admin hierarchy, lat/lng, alternate names
- 📚 Wikipedia Article Summary - Pull Wikipedia summaries with thumbnail, extract, geo and Wikidata link
- 🌐 Wikidata Entity Search - 100M+ open knowledge-graph entities
- 🧠 Open Trivia DB Questions - Trivia questions across 24 categories with answers
💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.
⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Wikimedia Foundation, Wikivoyage editors, or any individual contributor. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected.
🆘 Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
