🌏 World Bank Funded Projects Scraper

🚀 Pull World Bank-financed development projects from 1947 to present, with country, sector, status, and budget metadata.

The World Bank Funded Projects Scraper pulls World Bank-financed development projects from 1947 to present. Output includes project ID, name, country, region, sectors, themes, life-cycle status, total commitment, IBRD/IDA/grant breakdown, board approval and closing dates, borrower, implementing agency, and direct link to the project's WB page.

The World Bank database covers 500,000+ historical projects across 200+ countries spanning loans, grants, technical assistance, and budget support. Filters run server-side, so a single run can isolate every active climate project in Africa, all India IDA loans, or Education-sector pipeline projects.

🎯 Target Audience	💡 Primary Use Cases
Development economists, NGOs, ESG analysts, contractors, policy researchers, journalists, ML pipelines	Development funding research, ESG and impact tracking, contractor opportunity scouting, policy analysis, journalism on aid flows

📋 What the World Bank Funded Projects Scraper does

Five filtering workflows in a single run:

• 🔍 Free-text search. Match across project names, descriptions, and abstracts.
• 🌍 Country filter. ISO-2 codes, semicolon-separated for multi-country runs.
• 🟢 Status filter. Active, Closed, Pipeline, Dropped.
• 🏷️ Sector filter. Energy, Agriculture, Education, Health, Transport keyword.
• 📅 Board approval year range. From-to filter on board approval date.

💡 Why it matters: clean, server-side filtering removes the parser-and-pagination work from your team and keeps your dataset fresh on every run.

📊 Data fields

Each record includes: boardApprovalDate, closingDate, countryName, projectId, projectName, projectUrl, regionName, sectorText, status, themeText, totalCommitment. 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 World Bank Funded Projects Scraper page on the Apify Store.
3. 🎯 Set input. Pick your filters and 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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💡 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 the World Bank Group, the IBRD, IDA, IFC, MIGA, ICSID, or any project borrower or implementing agency. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected.

🆘 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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