EU Public Tenders — TED 📄

🎉 Turn TED into clean, structured EU public-tender data — no login, no API key, one row per notice, with the buyer, title, value, CPV code, deadline and country. Built for suppliers, bid/proposal teams and public-procurement market intelligence.

🔍 What is the EU Public Tenders — and when should you use it?

Give this actor keywords, buyer names or CPV codes and it returns matching tenders from Tenders Electronic Daily (TED), the EU public-procurement journal (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: EU tender opportunities by sector; a buyer’s procurement activity; or a pipeline of open notices.

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

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/ted-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 EU tender company records using the Apify Actor `foxlabs/ted-tenders`.
Input: `queries` is a list of keywords, buyer names or CPV codes. `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/ted-tenders.md.

📋 Overview

Everything you need to turn Tenders Electronic Daily (TED), the EU public-procurement journal (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~ted-tenders/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — keywords, buyer names or CPV codes.
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, buyer names or CPV codes.
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
publicationNumber	Publication Number
publicationDate	Publication Date
title	Title
noticeType	Notice Type
noticeSubtype	Notice Subtype
procedureType	Procedure Type
buyerName	Buyer Name
buyerCountry	Buyer Country
buyerCity	Buyer City
buyerEmail	Buyer Email
buyerPhone	Buyer Phone
buyerUrl	Buyer Url
totalValue	Total Value
totalValueCurrency	Total Value Currency
cpvCodes	Cpv Codes
deadlineDate	Deadline Date
description	Description
placeOfPerformanceCountry	Place Of Performance Country
placeOfPerformanceCity	Place Of Performance City
detailUrl	Detail Url
xmlUrl	Xml Url

💼 Use cases

1. Bid pipeline — find open EU tenders in your sector. Input: keywords or CPV codes. Output: notices + value + deadline. Use: a live bid pipeline.

2. Buyer intelligence — track a public buyer’s procurement. Input: buyer names. Output: that buyer’s notices. Use: anticipate demand.

3. Market sizing — size public spend in a category. Input: CPV codes. Output: notices + values. Use: estimate market size.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/ted-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/ted-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 Tenders Electronic Daily (TED), the EU public-procurement journal (official open data).

What do I search by? Keywords, buyer names or CPV codes.

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 TED notice: the contracting buyer, title, estimated value, CPV code, deadline and country.

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 procurement notices published on TED 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

0.6 — 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 Tenders Electronic Daily (TED), the EU public-procurement journal (official open data) by name or registry ID.