Wikivoyage Travel Guide Scraper

Scrape Wikivoyage travel guides at scale — destination summaries, GPS coordinates, full section outlines, hero images and canonical URLs — from any of the 25+ Wikivoyage language editions. No API key, no login, no proxy required.

Wikivoyage is the free, community-written travel guide (a sister project of Wikipedia) covering tens of thousands of cities, regions, parks and itineraries. This Actor turns those guides into clean, structured JSON/CSV/Excel rows you can drop straight into a travel app, a content pipeline or an LLM/RAG index.

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What it does

Mode	Input	Output
search	Keywords such as Berlin, Tokyo, hiking Norway	Every matching destination page with intro summary, coordinates, thumbnail and word count
pages	Exact page titles such as Paris, Berlin/Mitte	The full detail record for each title (redirects followed automatically)

Each result is one dataset item — one row per travel guide.

Features

• Destination search — up to 50 Wikivoyage pages per query, deduplicated across queries.
• Geo-ready — latitude/longitude straight from the article's primary coordinates, perfect for maps and radius search.
• Section outlines — the complete table of contents (Get in, See, Do, Eat, Drink, Sleep, Stay safe, …) plus a section_count, so you can judge guide depth at a glance.
• Plain-text summaries — clean intro extracts (capped at 5,000 characters), no wiki markup, no HTML.
• 25+ languages — en, de, fr, es, it, nl, pt, ru, pl, sv, zh, ja and more, via a single language input.
• Hero images — a 600px thumbnail URL for every guide that has a page image.
• Datacenter-clean — runs on the free/basic Apify infrastructure without residential proxies.

Input

{
  "mode": "search",
  "queries": ["Berlin", "Tokyo"],
  "language": "en",
  "includeSections": true,
  "maxItems": 100
}

Field	Type	Default	Description
mode	select	search	search = find destinations by keyword, pages = fetch exact titles
queries	array	["Berlin","Tokyo"]	Search keywords (mode search)
titles	array	–	Exact page titles, e.g. ["Paris"] (mode pages)
language	string	en	Wikivoyage language edition code
includeSections	boolean	true	Fetch the full table of contents per guide
maxItems	integer	100	Hard cap on dataset items (max 1000)

Output

{
  "page_id": 3512,
  "title": "Berlin",
  "language": "en",
  "summary": "Berlin is Germany's capital and largest city. Within the city limits, Berlin in 2022 had a population of 3.7 million...",
  "latitude": 52.51794,
  "longitude": 13.38873,
  "thumbnail": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/3b/Siegessaeule_Aussicht_10-13_img4_Tiergarten.jpg/960px-...",
  "word_count": 22432,
  "sections": ["Districts", "Understand", "History", "Get in", "Get around", "See", "Do", "Eat", "Drink", "Sleep"],
  "section_count": 88,
  "url": "https://en.wikivoyage.org/wiki/Berlin",
  "source": "wikivoyage",
  "scraped_at": "2026-07-28T12:35:00+00:00"
}

All fields are nullable — a page without coordinates simply returns null for latitude/longitude.

Use cases

• Travel apps — seed a destination database with names, coordinates and human-written summaries in minutes.
• Destination content — power city guides, landing pages and newsletters with editorial-quality descriptions and section structure.
• LLM / RAG corpora — build a clean, attributable travel knowledge base for chatbots and AI travel assistants.
• Itinerary tools — use coordinates plus section outlines (See, Do, Eat) to auto-assemble day plans and route suggestions.

Pricing

Roughly $0.5 per 1,000 travel guides on typical runs, plus Apify platform usage. Turning includeSections off removes one request per page and makes runs noticeably cheaper and faster.

Speed & limits

• Requests are batched (up to 20 pages per API call) and sent with a descriptive User-Agent, in line with the Wikimedia API etiquette.
• maxItems caps at 1,000 guides per run; chain runs or split queries for larger crawls.
• Search only covers the main namespace (actual travel articles, not talk or user pages).

Related Actors

• Wikipedia Scraper — articles, summaries and metadata from Wikipedia
• Geocoding Scraper — turn addresses into coordinates and back
• CityBikes Scraper — live bike-sharing stations worldwide
• OpenStreetMap Notes Scraper — community map notes and reports

Legal & attribution

Wikivoyage content is published under CC BY-SA 4.0. When you republish text from this Actor, credit Wikivoyage and its contributors and keep the share-alike licence. This Actor reads only the public MediaWiki API and collects no personal data.