🌐 MyMemory Translation Scraper

🚀 Translate text across 70+ language pairs in seconds. Submit a batch of strings, pick source and target languages, and get translations plus alternative matches with quality scores, subject tags, and contributor info from MyMemory's 1,000,000,000+ translation memory. No login required for small jobs.

The MyMemory Translation Scraper queries the MyMemory shared translation memory and returns 19 structured fields per translation, including the best match, alternative matches, quality scores, subject area, contributor handle, usage count, creation and update timestamps, and quota status. MyMemory is the world's largest shared translation memory and aggregates contributions from professional translators and global community members.

The service supports 70+ language codes, including regional variants like English (UK/US), Portuguese (PT/BR), Spanish (ES), and Chinese (Simplified/Traditional). This Actor turns a batch of strings into a tabular dataset in seconds with all alternatives returned per row.

🎯 Target Audience	💡 Primary Use Cases
Mobile and web app builders, ESL and EdTech teams, content i18n teams, marketing localization agencies, indie developers, translation researchers	Bulk UI string translation, ESL flashcard generation, content localization for blogs and stores, A/B testing of translated copy, translation memory seeding

📋 What the MyMemory Translation Scraper does

A single batch translation workflow:

• 📝 Bulk text input. Submit an array of strings, each becomes one record.
• 🌐 Source language selection. Pick from 70+ ISO codes including regional variants.
• 🎯 Target language selection. Same 70+ code list.
• 📧 Optional quota uplift. Pass an email to raise the anonymous daily character quota.

Each record includes the source text, best translation, source and target language codes, match score (0-1), best match source and target text, quality grade, subject area, usage count, contributor handle, creation and last-update dates, the full list of alternative matches, plus quota status and response details.

💡 Why it matters: MyMemory is a free, broad-coverage shared translation memory that powers everything from quick UI localization to large content workflows. Building your own bulk runner against it means handling quotas, retries, and result merging by hand. This Actor returns clean structured rows in one pass.

📊 Data fields

Each record includes: alternateMatchCount, alternateMatches, bestMatchCreateDate, bestMatchCreatedBy, bestMatchLastUpdate, bestMatchModel, bestMatchQuality, bestMatchReference, bestMatchSource, bestMatchSubject, bestMatchTarget, bestMatchUsageCount, matchScore, quotaFinished, responseStatus, scrapedAt, sourceLanguage, sourceText, targetLanguage, translatedText. 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 MyMemory Translation Scraper page on the Apify Store.
3. 🎯 Set input. Paste your strings, pick source and target language codes, optionally supply an email.
4. 🚀 Run it. Click Start and let the Actor collect translations.
5. 📥 Download. Grab your results from 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.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by MyMemory or Translated S.r.l. All trademarks mentioned are the property of their respective owners. Only publicly available translation memory data is collected, under MyMemory's published terms of service.

🆘 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.