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bioRxiv Preprints Scraper
Pull bioRxiv and medRxiv preprints by date range, DOI, or category. Records carry DOI, title, authors, publish date, version, type, license, category, abstract, server, and full text PDF link. Useful for literature reviews, science monitoring, and grant research.
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🧬 bioRxiv Preprints Scraper
🚀 Export bioRxiv and medRxiv preprints with DOI, authors, license, and abstract in seconds. Clean tabular records, ready for download.
🕒 Last updated: 2026-06-05 · 📊 13 fields per record · Public API · No login required
The bioRxiv Preprints Scraper turns the public bioRxiv details endpoint into a flat tabular dataset of preprints, their DOIs, authors, abstracts, and PDF links.
Filter the source, pick how many rows you want, and download.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| 🧑🔬 Researchers | Pull a clean dataset for downstream analysis |
| 👩💻 Developers | Mirror the API into your own database |
| 🏢 Data teams | Snapshot metadata on a schedule |
| 📰 Journalists | Verify claims against the source of record |
📋 What the bioRxiv Preprints Scraper does
- Calls the public endpoint with the parameters you supply.
- Parses each record into a flat row.
- Casts numeric fields to numbers.
- Surfaces upstream rate limits as a clean error record.
- Exports to every Apify dataset download format.
💡 Why it matters. A flat tabular shape drops straight into pandas, BigQuery, or a Google Sheet without further wrangling.
🎬 Full Demo
🚧 Coming soon.
⚙️ Input
| Field | Type | Required | Description |
|---|---|---|---|
server | enum | No | bioRxiv or medRxiv. |
dateFrom | string | No | Start date YYYY-MM-DD. |
dateTo | string | No | End date YYYY-MM-DD. |
doi | string | No | Specific DOI. |
category | string | No | Category substring filter. |
maxItems | integer | No | Free 10, paid up to 1,000,000. |
Example 1, last 7 days of bioRxiv:
Example 2, a single DOI:
⚠️ Good to Know. The upstream public API may rate-limit aggressive callers. The actor surfaces rate-limit notes as a clean error record instead of crashing.
📊 Output
Each record is a flat object.
| Field | Type | Description |
|---|---|---|
🆔 doi | string | Preprint DOI. |
📝 title | string | Preprint title. |
👥 authors | string | Comma-separated authors. |
📅 date | string | Posted date. |
🔢 version | string | Preprint version number. |
🏷️ type | string | Manuscript type. |
⚖️ license | string | License code. |
🗂️ category | string | Subject category. |
📄 abstract | string | Abstract text. |
🏛️ server | string | Source server (biorxiv or medrxiv). |
📎 pdf | string | PDF URL. |
🕒 scrapedAt | string | When this row was fetched. |
❌ error | string | Set if the upstream response was an error. |
✨ Why choose this Actor
| 🆓 | Free to try, no signup needed. | | 🧹 | Clean column names ready for BI tools. | | 🔢 | Numeric casting handled for you. | | 🛟 | Rate-limit notes surface as a single error record. | | 🔍 | Filter the source through the input schema. | | 💾 | Push to dataset, instant tabular export. |
📈 How it compares to alternatives
| Approach | Setup time | Clean schema | Filters | Rate-limit handling |
|---|---|---|---|---|
| Roll your own fetch | 30+ minutes | manual | manual | manual |
| This Actor | 5 seconds | ✅ | ✅ | ✅ |
🚀 How to use
- Click Try for free.
- Adjust the inputs to match your query.
- Click Start. Your dataset is ready in seconds.
💼 Business use cases
📊 Market intelligence. Snapshot the catalog and track new entries week over week.
🤖 ML feature engineering. Build a clean training set from public records.
📰 Newsroom fact-checking. Verify claims in 30 seconds.
🏢 Procurement. Pipe records straight into your warehouse.
🔌 Automating bioRxiv Preprints Scraper
- Make and Zapier. Trigger on a schedule, push to Airtable or Google Sheets.
- Apify scheduler. Run it daily, weekly, or on demand.
- Webhooks. POST to your endpoint when a run finishes.
- Pipe to BigQuery, Snowflake, Postgres via native Apify integrations.
🌟 Beyond business use cases
🎓 Education. Use real public datasets for coursework.
🧪 Personal research. Track topics that matter to you.
🤝 Non-profit and open data. Build public dashboards without writing scrapers.
🧰 Tinkering. Spin up a dataset to test a new chart library or notebook idea.
🤖 Ask an AI assistant about this scraper
Pop this README into ChatGPT, Claude, or any AI assistant and ask it to map your workflow to the actor's inputs. The schema, examples, and field list above contain everything an LLM needs to design a working pipeline.
❓ Frequently Asked Questions
❓ Do I need an API key. No. The bioRxiv endpoint used here is public.
❓ Can I filter the source. Yes. See the input schema for the filters available.
❓ Can I schedule runs. Yes, use the Apify native scheduler.
❓ Is this scraping or API. API. The endpoint is fully public.
❓ Will the schema change. Core fields are stable. Optional fields surface as null when the source omits them.
❓ What format can I download. Every Apify dataset download format from the dataset UI.
❓ How do you handle rate limits. A clean error record is pushed to the dataset.
❓ Can I run partial pulls. Yes, set maxItems to the size you need.
❓ Is it free. Free tier gives you 10 records, paid plans up to 1,000,000.
❓ Does the actor cache results. No, every run hits the live endpoint.
🔌 Integrate with any app
Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint.
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💡 Pro Tip. Browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.
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.
