🚀 HAL Open Science Scraper

🚀 Export French open-access research from HAL. 3M+ papers and theses by domain, author, lab, journal.

🕒 Last updated: 2026-04-24 · 📊 11+ fields per record · 🔍 5 filters · 🚫 No auth required

Export research papers, theses, and preprints from HAL, Frances national open science archive. 3M+ full-text records across every scientific discipline. Filter by domain, author, lab, journal, or year.

Pull titles, abstracts, authors, DOIs, PDFs, citations.

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📋 What the HAL Open Science Scraper does

• 🎯 Targeted filtering. Use the input schema to narrow results to what you need.
• 📦 Structured output. Clean, typed records with every field documented.
• 🔄 Live data. Every run fetches fresh data at runtime, no cached responses.
• 🔌 Easy integration. Consume via Apify API, webhooks, or direct dataset export.
• 📊 Scale on demand. Run once or run on a schedule, the same way.

💡 Why it matters: teams that rely on this source no longer need to babysit a custom crawler. Set up your filters once, get updated data on demand.

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⚙️ Input

Send a JSON body with any of the documented input fields. All fields are optional unless the schema marks them required.

Field	Type	Name	Description
maxItems	integer	Max Items	Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
query	string	Search Query	Free text query across titles, abstracts, and keywords. Supports wildcards (e.g. machine*).
documentType	string	Document Type	Restrict to a specific document type.
domain	string	Research Domain	Filter by HAL research domain code (e.g. 'info' for computer science, 'shs' for humanities, 'sdv' for life sciences). See hal.science/browse.
year	integer	Publication Year	Restrict to a single publication year.
openAccessOnly	boolean	Open Access Only	Restrict to records with open-access full text.

⚠️ Good to Know: free users are limited to 10 items per run for preview purposes. Upgrade to Apify paid plans for higher limits.

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📊 Output

The dataset returns one structured record per item. Each record includes identifiers, descriptive fields, and a link back to the source. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

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💼 Business use cases

📊 Analysts and researchers Build longitudinal datasets for trend analysis Benchmark across sources and regions Feed BI tools and custom dashboards Enrich existing pipelines with fresh data	🛠️ Engineers and operators Power internal APIs without building your own crawler Schedule weekly deltas to a database Plug into existing ETL stacks via Apify webhooks Skip the infra work, get clean structured output
🎯 Growth and sales teams Discover new leads and accounts at scale Monitor competitor coverage and positioning Build outbound lists keyed to real signals Prioritize outreach with structured context	🧪 Product and data teams Prototype features against live data A/B test ranking or matching logic Train or evaluate domain-specific models Validate hypotheses before committing engineering

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🚀 How to use

1. 📝 Create a free account. Sign up at console.apify.com to get $5 in credits.
2. 🔍 Open the actor. Paste your filters into the input schema in the Apify console.
3. ▶️ Click Start. Wait a few seconds for the first records to land.
4. 📤 Export the data. Download JSON/CSV or pipe to webhooks, Google Sheets, or Zapier.
5. 🔄 Schedule it. Apify Schedules let you rerun on a cron cadence for free.

⏱️ Total time to first data: about 60 seconds.

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🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

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🔌 Integrate with any app

Connect the HAL Open Science Scraper to cloud services via Apify integrations:

• Make - visual automation builder
• Zapier - 5000+ app connectors
• Google Sheets - pipe rows directly
• Airbyte - ingest into data warehouses
• Slack - receive run alerts
• HTTP webhooks - custom downstream

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🔗 Recommended Actors

Pair the HAL Open Science Scraper with related actors:

• 🌐 Website Content Crawler - crawl any page at scale
• 🔍 Google Search Scraper - harvest SERPs
• 📄 Article Extractor - extract clean article text
• 📊 Google Trends Scraper - capture demand signals
• 📸 Screenshot URL - render any page to image

💡 Pro Tip: browse the complete ParseForge collection for more niche actors.

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🆘 Need Help? Open our contact form

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⚠️ Disclaimer: This actor retrieves data from publicly available sources. You are responsible for complying with the source website's terms of service and applicable laws in your jurisdiction. ParseForge is not affiliated with the data source.