📚 RePEc Economics Papers Scraper

🚀 Collect economics papers from any RePEc series with titles, authors, abstracts, publication dates, JEL codes, keywords, publishers, and journal information. Cover NBER, IZA, ECB, Fed, CEPR, and thousands more series.

🕒 Last updated: 2026-04-23

RePEc (Research Papers in Economics) indexes over 4 million working papers, journal articles, and books from top economics institutions worldwide. This tool pulls structured paper records from any RePEc series with full metadata.

The RePEc Economics Scraper collects paper titles, full author lists, abstracts, publication dates, JEL classification codes, keywords, publisher information, and journal titles. It supports 3,000+ series including NBER Working Papers, IZA Discussion Papers, ECB Working Papers, and Fed research.

Target Audience	Academic researchers, think tanks, central banks, economic consultancies, economics recruiters, financial journalists
Primary Use Cases	Literature reviews, research monitoring, institution tracking, paper discovery, bibliometric analysis, reading list building

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📋 What Does It Do

• Collects paper titles, full author lists, and abstracts
• Extracts publication dates and years
• Captures JEL classification codes for subject categorization
• Gets author-supplied keywords for each paper
• Includes publisher, journal title, and technical report numbers
• Identifies citation type (working paper, journal article, chapter, book)
• Supports 3,000+ RePEc series including NBER, IZA, ECB, Fed, and CEPR

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🎬 How to Use - Full Demo

🚧 Demo video coming soon.

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⚙️ Input

Field	Type	Description	Default
Max Items	integer	Free users: limited to 10 items. Paid users: up to 1,000,000	10
Series Handle	string	Two-part archive/series handle (e.g., nbr/nberwo for NBER Working Papers)	nbr/nberwo

Example 1:

{
    "seriesHandle": "nbr/nberwo",
    "maxItems": 100
}

Example 2:

{
    "seriesHandle": "iza/izadps",
    "maxItems": 50
}

⚠️ Series handles are two-part identifiers (archive/series). Visit ideas.repec.org to browse available series and find handles.

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📊 Output

🧾 Schema: handle, title, authors, abstract, publicationDate, year, jelCodes, keywords, publisher, journalTitle, reportNumber, citationType, url, scrapedAt

📦 Sample 1:

{
    "handle": "RePEc:nbr:nberwo:32345",
    "title": "Monetary Policy and Inflation Expectations",
    "authors": ["Jane Smith", "John Doe"],
    "abstract": "We examine how monetary policy shocks affect household inflation expectations...",
    "publicationDate": "2026-03-15",
    "year": 2026,
    "jelCodes": ["E31", "E52", "E58"],
    "keywords": ["monetary policy", "inflation expectations", "household survey"],
    "publisher": "National Bureau of Economic Research, Inc",
    "reportNumber": "32345",
    "citationType": "working paper",
    "url": "https://ideas.repec.org/p/nbr/nberwo/32345.html",
    "scrapedAt": "2026-04-10T12:00:00.000Z"
}

📦 Sample 2:

{
    "handle": "RePEc:iza:izadps:dp16789",
    "title": "Labor Market Effects of Immigration Policies",
    "authors": ["Maria Garcia", "Thomas Mueller"],
    "abstract": "This paper analyzes the impact of recent immigration policies on local labor markets...",
    "publicationDate": "2026-02-01",
    "year": 2026,
    "jelCodes": ["J61", "J23"],
    "keywords": ["immigration", "labor markets", "wage effects"],
    "publisher": "Institute of Labor Economics (IZA)",
    "reportNumber": "16789",
    "citationType": "working paper",
    "url": "https://ideas.repec.org/p/iza/izadps/dp16789.html",
    "scrapedAt": "2026-04-10T12:00:00.000Z"
}

📦 Sample 3:

{
    "handle": "RePEc:ecb:ecbwps:2026:3001",
    "title": "Digital Euro and Monetary Transmission",
    "authors": ["ECB Research Team"],
    "abstract": "We study the potential effects of a central bank digital currency on monetary transmission...",
    "publicationDate": "2026-01-20",
    "year": 2026,
    "jelCodes": ["E42", "E58", "G21"],
    "keywords": ["CBDC", "digital euro", "monetary policy"],
    "publisher": "European Central Bank",
    "reportNumber": "3001",
    "citationType": "working paper",
    "url": "https://ideas.repec.org/p/ecb/ecbwps/20263001.html",
    "scrapedAt": "2026-04-10T12:00:00.000Z"
}

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✨ Why Choose This Tool?

Feature	Details
3,000+ series	Access papers from NBER, IZA, ECB, Fed, CEPR, and thousands more
Full metadata	Titles, authors, abstracts, JEL codes, keywords, and publisher info
JEL classification	Structured subject codes for precise topic filtering
Bulk collection	Up to 1,000,000 papers per run
Any series supported	Enter any RePEc series handle to collect from that source
JSON/CSV/Excel export	Download in your preferred format for analysis
Scheduled monitoring	Run weekly to track new additions to any series

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📈 How It Compares

Capability	This Tool	Other Solutions
Bulk collection	Up to 1,000,000 papers per run	Page-by-page browsing
Series coverage	Any of 3,000+ RePEc series	One at a time
JEL codes and keywords	Structured and parsed	Scattered across pages
Full author list	Parsed into array	Single string
Export formats	JSON, CSV, Excel	Not supported
Scheduled monitoring	Weekly/monthly runs	Not possible

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🚀 How to Use

1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Tool - Search for "RePEc Economics Papers Scraper" in the Apify Store
3. Set Input - Configure your search filters using the simple form
4. Run It - Click "Start" and let it collect your data
5. Download Data - Get your results in the "Dataset" tab as CSV, Excel, or JSON

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💼 Business Use Cases

Audience	How They Use It
Academic Researchers	Build reading lists for a specific subfield or institution. Track new working papers from top economics research centers
Think Tanks	Monitor new working papers from NBER, IZA, CEPR, and other major institutions for policy-relevant research
Central Banks	Track research output from peer institutions and stay current on monetary policy, financial stability, and macroeconomic topics
Financial Journalists	Find primary source research for economic news stories and identify trending topics in academic economics

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ RePEc Economics Papers Scraper (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the RePEc Economics Papers Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
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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💼 Business use cases

📊 Data & Analytics Build trend reports and dashboards from live source data Feed BI tools, warehouses, and ML pipelines with structured records Run periodic snapshots to track changes over time Compare segments, regions, or categories with consistent fields	🏢 Operations & Strategy Monitor competitor moves, pricing, and inventory shifts Build internal directories and lookup tools backed by current data Power workflows that depend on fresh source records Cut manual data-gathering time from hours to minutes
🎯 Marketing & Growth Identify market opportunities and trending topics Research target audiences and customer personas at scale Power lead-generation pipelines with verified records Track sentiment, reviews, or social signals over time	🛠️ Engineering & Product Prototype features that need real-world data without owning a crawler Replace fragile in-house scrapers with a managed Actor Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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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

🤖 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

💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test RePEc Economics Papers Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running RePEc Economics Papers Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running RePEc Economics Papers Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using RePEc Economics Papers Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run RePEc Economics Papers Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use RePEc Economics Papers Scraper?

Yes. RePEc Economics Papers Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Automating Your Workflow

Schedule this tool to run daily, weekly, or monthly through the Apify platform. Set it and forget it. Your data will be waiting in your dataset every time. Combine with webhooks to trigger downstream actions whenever a run completes.

🔌 Integrate with Your Favorite Apps

• Make - Build automated workflows
• Zapier - Connect 5,000+ apps
• Slack - Get instant notifications
• Airbyte - Sync to data warehouses
• GitHub - Version control integration
• Google Drive - Export to spreadsheets

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🔌 Integrate with any app

RePEc Economics Papers Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

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🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify documentation for platform guides
• Contact us at Tally contact form

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⚠️ Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or connected to RePEc, IDEAS, NBER, or any research institution. It collects only publicly available paper metadata.