📑 bioRxiv Preprints Scraper

🚀 Export bioRxiv preprints in seconds. DOIs, titles, authors, dates, categories, abstracts, and JATS XML URLs — direct from the public bioRxiv API.

The bioRxiv Preprints Scraper turns the bioRxiv Public API public endpoint into a clean, structured dataset. It queries the source live, normalizes the response into one row per record, and pushes the result into an Apify dataset you can download or pipe to your warehouse.

Preprints published on bioRxiv (or medRxiv) within the queried date window are covered in a single run, with stable field names and null-safe parsing.

🎯 Target Audience	💡 Primary Use Cases
🔬 Researchers	Track preprints in your field as soon as they post
💊 Pharma	Monitor preprints on a drug or target
🎓 Universities	Curate weekly reading lists
🤖 ML teams	Train scientific NLP models on the freshest text

📋 What the bioRxiv Preprints Scraper does

• Calls the public bioRxiv Public API endpoint with the parameters you supply.
• Parses the response and flattens each record into a single dataset row.
• Casts numeric fields to numbers where applicable for clean spreadsheet imports.
• Surfaces rate-limit or upstream errors as a single-row error record instead of crashing.
• Exports to every Apify dataset format supported in the UI.

💡 Why it matters. The raw bioRxiv Public API response is great for API consumers but awkward for spreadsheets and BI tools. This actor normalizes the shape so the data drops straight into pandas, BigQuery, or a Google Sheet.

📊 Data fields

Each record includes: abstract, authors, category, date, doi, jatsxml, license, results, scrapedAt, server, title, version. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know. This actor calls the public bioRxiv Public API endpoint with no authentication required. Upstream rate limits apply; if the source returns a limit notice, you will see it as a single error record in your dataset.

🚀 How to use

1. Click Try for free.
2. Fill in the input (or leave defaults).
3. Click Start.
4. Within seconds, the dataset is ready for download or integration.

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Disclaimer. This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.

🆘 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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