📝 Datamuse Word Finder Scraper

🚀 Export English word lists in seconds. Pull synonyms, antonyms, rhymes, sound-alikes, hypernyms, holonyms, definitions, frequency scores, and pronunciations across 370,000+ words. No registration, no API key, no manual JSON wrangling.

The Datamuse Word Finder Scraper exports English word lists from the Datamuse word-finder and returns up to 11 fields per word, including the word itself, relation score, syllable count, part-of-speech tags, frequency per million tokens, ARPABET pronunciation, and one or more dictionary definitions. The underlying dataset is one of the largest open word-relation indexes for English, covering 370,000+ unique forms.

Coverage spans 17 relation types: means-like (semantic), sounds-like (phonetic), spelled-like (wildcards), rhymes, near-rhymes, synonyms, antonyms, hypernyms (kind of), hyponyms (more specific), holonyms (part of), meronyms (has parts), triggers (co-occurrence), follows / precedes (collocations), adjectives-for-noun, nouns-for-adjective, and frequency-sorted lists.

🎯 Target Audience	💡 Primary Use Cases
NLP developers, crossword and word-game builders, content writers, SEO keyword strategists, ESL and EdTech apps, copywriters, lyric and poetry tools	Vocabulary expansion, rhyme finding, sound-alike search, keyword research, autocomplete dictionaries, thesaurus apps, language-learning drills

📋 What the Datamuse Word Finder Scraper does

Seventeen relation-typed lookups in a single Actor:

• 🧠 Means like. Semantic neighbors (synonyms, related concepts).
• 🔊 Sounds like / Rhymes / Near rhymes. Phonetic similarity for songwriting, poetry, mnemonics.
• 🔡 Spelled like. Wildcard lookups (?, *) for crossword and word-puzzle apps.
• 📚 Synonyms / Antonyms. Classic thesaurus relations.
• 🌳 Hypernyms / Hyponyms / Holonyms / Meronyms. Taxonomy relations (is a kind of, is part of).
• 🔁 Triggers / Follows / Precedes. Co-occurrence and collocation lookups for n-gram suggestions.
• 🏷️ Adjectives for noun / Nouns for adjective. Grammatical companions for autocomplete.
• 📊 Frequent. Frequency-ranked word lists with wildcards.

Optional metadata add-ons return definitions, parts of speech, syllable counts, frequency per million tokens, and ARPABET pronunciations.

💡 Why it matters: building a word-aware app means juggling thesauri, rhyming dictionaries, frequency tables, and pronunciation lexicons. Datamuse exposes all of that through a single uniform interface; this Actor wraps it for repeatable, schedulable runs that you can pipe into a spreadsheet, notebook, or downstream service.

📊 Data fields

Each record includes: definitions, frequencyPerMillion, numSyllables, partsOfSpeech, pronunciation, queryType, score, scrapedAt, seedWord, tags, 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 Datamuse Word Finder Scraper page on the Apify Store.
3. 🎯 Set input. Pick a relation type, set a seed word, and add optional topic or context.
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.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 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.