🌍 Wikivoyage Travel Article Scraper

🚀 Pull Wikivoyage city and country articles with description, image, geo-coordinates, language metadata, Wikidata link. Lookup or search.

🕒 Last updated: 2026-05-08 · 📊 29 fields per record · Wikivoyage travel articles · 30+ languages · description, extract, image, lat/lng, Wikidata link, revision · 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

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📋 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.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.

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⚙️ Input

Input	Type	Default	Behavior
maxItems	integer	10	Records to return. Free plan caps at 10, paid plan up to 1,000,000.
mode	string	"lookup"	lookup or search.
titles	string	""	Newline-separated article titles (lookup mode).
query	string	""	Search term (search mode).
language	string	"en"	Wikivoyage language code (en, es, fr, de, it, ru, zh, ja, etc).

Example: look up cities.

{
    "maxItems": 50,
    "mode": "lookup",
    "titles": "Tokyo\nParis\nBarcelona\nNew York City\nKyoto\nLondon\nRome\nBerlin\nMadrid\nAmsterdam",
    "language": "en"
}

Example: search Spanish destinations.

{
    "maxItems": 30,
    "mode": "search",
    "query": "playa",
    "language": "es"
}

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📊 Output

Each record contains 29 fields. Download as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🖼️ thumbnailUrl	string	"https://upload.wikimedia.org/.../thumb.jpg"
📐 thumbnailWidth	number	320
📐 thumbnailHeight	number	213
🆔 pageId	number	9651
📛 title	string	"Tokyo"
📛 displayTitle	string	"Tokyo"
📜 description	string	"Capital of Japan and one of the world's largest cities"
📝 extract	string	"Tokyo is the capital of Japan..."
📝 extractHtml	string	"<p><b>Tokyo</b> is the capital of Japan..."
🏷️ type	string	"standard"
🌐 language	string	"en"
🔤 languageCode	string	"en"
🔗 wikibaseItem	string	"Q1490"
🗺️ coordinatesLat	number	35.689
🗺️ coordinatesLng	number	139.692
📅 timestamp	string	"2026-04-29T14:32:11Z"
🆔 revisionId	number	4823651
🌐 desktopUrl	string	"https://en.wikivoyage.org/wiki/Tokyo"
📱 mobileUrl	string	"https://en.m.wikivoyage.org/wiki/Tokyo"
✏️ editDesktopUrl	string	"https://en.wikivoyage.org/wiki/Tokyo?action=edit"

📦 Sample records

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✨ Why choose this Actor

	Capability
🌍	Travel-focused content. Wikivoyage is the open-source Lonely Planet, with travel-relevant write-ups.
🗺️	Coordinates per place. Lat / lng for cities, parks, landmarks.
🔗	Wikidata link. Cross-language and external knowledge-graph joins.
🌐	30+ languages. Same Actor pulls summaries from any Wikivoyage language.
🆓	No auth. Wikivoyage REST is open.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ This Actor	$5 free credit	Wikivoyage	Live per run	2 modes	⚡ 2 min
Wikivoyage REST direct	Free	Same	Live	DIY	🐢 Code
Lonely Planet (paid)	$$	Larger	Static	No	🐢 Manual
Manual scraping	Free	All	Live	DIY	🐢 Days

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Find the Wikivoyage Travel Article Scraper on the Apify Store.
3. 🎯 Set input. Pick filters and maxItems.
4. 🚀 Run it. Click Start.
5. 📥 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.

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💼 Business use cases

✈️ Travel Apps Destination summary cards Multi-language guides Itinerary builders Location-based discovery	📰 Travel Content Travel-blog backbones Newsletter destinations City-guide aggregators Multi-language SEO content
🎓 Education + Geography Geography lesson materials Travel-vocabulary corpora Reproducible travel snapshots Learning-app destinations	🤖 ML + Localization Travel-text embeddings Multi-language translation training Location-extraction models Tourism datasets

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🔌 Automating Wikivoyage Travel Article Scraper

Control the scraper programmatically:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval.

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🌟 Beyond business use cases

Data like this powers more than commercial workflows.

🎓 Research and academia Travel-studies datasets Cross-language tourism corpora Reproducible destination snapshots Travel-vocabulary studies	🎨 Personal and creative Personal travel logs Trip-planning side projects Travel-blog backbones Bucket-list apps
🤝 Non-profit and civic Free travel-information resources Tourist-info kiosks Educational travel content Community wiki contributions	🧪 Experimentation Train travel-summarization Prototype itinerary agents Build location-aware bots Test multilingual pipelines

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🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

🧩 How does it work?

Pick lookup or search mode and supply titles or a query. The Actor calls the Wikivoyage REST API and returns one record per article.

📊 How many fields per record?

29, including thumbnail (with dimensions), page ID, title fields, description, extract (plain + HTML), language metadata, Wikibase item, coordinates, timestamps, and URLs.

🌍 Which languages are supported?

Any Wikivoyage language. Set the language input to the standard code (en, es, fr, de, it, ru, zh, ja, etc).

🗺️ Are geo-coordinates always present?

Only on geo-tagged articles (most cities, parks, landmarks). Topic articles may have null.

🔗 What's the wikibaseItem field?

The Wikidata Q-number for the entity. Lets you join across languages and other knowledge bases.

📜 Is the full guide returned?

No, only the summary lead. Use Wikivoyage's full-content API for the whole guide (Get In, See, Eat, Sleep, etc).

🆓 Do I need an API key?

No. Wikivoyage REST is open.

🔁 Can I schedule runs?

Yes. Schedule daily to refresh destination summaries.

⚖️ Is this data free to use?

Yes. Wikivoyage content is licensed CC-BY-SA. Attribution required for redistribution.

💳 Do I need a paid Apify plan?

No. The free plan covers preview runs (10 records).

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🔌 Integrate with any app

Wikivoyage Travel Article Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications
• Airbyte - Pipe data into your warehouse
• GitHub - Trigger runs from commits
• Google Drive - Export datasets to Sheets

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🔗 Recommended Actors

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• 📚 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.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ 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.