📖 Wiktionary Definitions Scraper

🚀 Export multilingual dictionary entries in seconds. Pull definitions, parts of speech, and example sentences from 6 million+ Wiktionary entries across nine language editions. No API key, no registration, no XML wrangling.

The Wiktionary Definitions Scraper queries the community-maintained multilingual dictionary and returns 9 fields per record, including the headword, part of speech, every definition, illustrative examples, source language edition, and a link back to the canonical page. The underlying dataset is the largest open dictionary in the world, maintained by a global community of lexicographers, linguists, and language enthusiasts.

The catalog covers English, Spanish, French, German, Italian, Portuguese, Russian, Chinese, Japanese, and Korean editions, with cross-language meanings included whenever the source edition documents them. This Actor turns the dictionary into downloadable CSV, Excel, JSON, or XML in under five minutes. Bulk lookups, single-word checks, and cross-edition merges all run from the same input form.

🎯 Target Audience	💡 Primary Use Cases
NLP engineers, lexicographers, linguists, language-learning apps, search teams, content moderators, dictionary builders	Lemma dictionaries, training data for tokenizers and word embeddings, definition lookups in chat UIs, vocabulary expansion for language apps

📋 What the Wiktionary Definitions Scraper does

Three lookup workflows in a single run:

• 🔤 Single-word lookup. Resolve one headword across every documented language in the chosen edition.
• 📚 Bulk word list. Pass dozens or thousands of words and stream a record per entry.
• 🌐 Cross-language coverage. From the English edition, pull meanings for words in any documented language with English glosses.

Each record includes the headword, source language edition, entry language code, entry language name, part of speech, definition count, the full definitions array, illustrative examples, and the canonical Wiktionary page URL.

💡 Why it matters: dictionary data underpins autocomplete, spell-check, machine translation, and language-learning features. Building your own scraper means handling wiki markup, namespace conventions, and per-edition schema drift. This Actor skips all of that and refreshes on every run.

📊 Data fields

Each record includes: definitionCount, definitions, entryLanguage, entryLanguageCode, examples, pageUrl, partOfSpeech, scrapedAt, sourceLanguage, word. 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

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Wiktionary Definitions Scraper page on the Apify Store.
3. 🎯 Set input. Pick a language edition and paste a list of words. Set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

• 🧬 Wikidata Lexemes Scraper - Structured multilingual lexeme records
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💡 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 Wiktionary, the Wikimedia Foundation, or any of its contributors. All trademarks mentioned are the property of their respective owners. Only publicly available open dictionary 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.

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