World Bank Tenders & Procurement 🌍

🎉 Turn World Bank procurement into clean, structured tender data — no login, no API key, one row per notice, with the project, country, notice type, deadline and description. Built for suppliers and bid teams pursuing development-finance contracts.

🔍 What is the World Bank Tenders & Procurement — and when should you use it?

Give this actor keywords, countries or project names and it returns matching tenders from the World Bank procurement notices (official open data) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: World Bank-financed tender opportunities; procurement by country or sector; or a pipeline of open notices.

Use something else when: you need company firmographics — this is procurement notices, not a company registry.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/worldbank-tenders.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull World Bank tender company records using the Apify Actor `foxlabs/worldbank-tenders`.
Input: `queries` is a list of keywords, countries or project names. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/worldbank-tenders.md.

📋 Overview

Everything you need to turn the World Bank procurement notices (official open data) into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole feed, one call — name or ID in, matching tenders out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~worldbank-tenders/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — keywords, countries or project names.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Keywords, countries or project names.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
id	Id
noticeType	Notice Type
noticeDate	Notice Date
submissionDeadlineDate	Submission Deadline Date
submissionDeadlineTime	Submission Deadline Time
country	Country
projectId	Project Id
projectName	Project Name
bidReference	Bid Reference
bidDescription	Bid Description
procurementCategory	Procurement Category
procurementMethod	Procurement Method
contactName	Contact Name
contactOrganization	Contact Organization
contactEmail	Contact Email
contactPhone	Contact Phone
contactAddress	Contact Address
contactCountry	Contact Country
detailUrl	Detail Url
source	Source

💼 Use cases

1. Development-finance bids — find World Bank tenders in your sector. Input: keywords or countries. Output: notices + deadlines. Use: a bid pipeline.

2. Country pipeline — track procurement in a target country. Input: country names. Output: that country’s notices. Use: plan market entry.

3. Sector monitoring — watch a project category. Input: keywords. Output: matching notices. Use: anticipate demand.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/worldbank-tenders').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/worldbank-tenders').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads the World Bank procurement notices (official open data).

What do I search by? Keywords, countries or project names.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

What does each row represent? One World Bank procurement notice: project, country, notice type, deadline and description.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads public World Bank procurement notices as open data. Results can still contain personal data (e.g. a person’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1 — 2026-09-07

• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from the World Bank procurement notices (official open data) by name or registry ID.