Ukraine Public Tenders — Prozorro 🇺🇦

🎉 Turn Prozorro into clean, structured Ukrainian tender data — no login, no API key, one row per tender, with the buyer, title, value, status and deadline. Built for suppliers, bid teams and reconstruction-market intelligence.

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

Give this actor keywords or buyer names and it returns matching tenders from the Ukrainian Prozorro public-procurement system (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: Ukrainian tender opportunities; a buyer’s procurement; or a pipeline of open tenders (incl. reconstruction).

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

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/ukraine-prozorro-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 Prozorro tender company records using the Apify Actor `foxlabs/ukraine-prozorro-tenders`.
Input: `queries` is a list of keywords or buyer 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/ukraine-prozorro-tenders.md.

📋 Overview

Everything you need to turn the Ukrainian Prozorro public-procurement system (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~ukraine-prozorro-tenders/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — keywords or buyer 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 or buyer 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
tenderID	Tender I D
id	Id
title	Title
description	Description
status	active / inactive / dissolved
procurementMethod	Procurement Method
category	Category
buyerName	Buyer Name
buyerId	Buyer Id
buyerKind	Buyer Kind
buyerRegion	Buyer Region
buyerLocality	Buyer Locality
buyerAddress	Buyer Address
buyerPostalCode	Buyer Postal Code
buyerContactName	Buyer Contact Name
buyerContactEmail	Buyer Contact Email
buyerContactPhone	Buyer Contact Phone
valueAmount	Value Amount
valueCurrency	Value Currency
vatIncluded	Vat Included
awardCriteria	Award Criteria
itemCount	Item Count
cpvMain	Cpv Main
items	Items
supplierCount	Supplier Count
awards	Awards
bidCount	Bid Count
lotCount	Lot Count
documentCount	Document Count
contractCount	Contract Count
dateCreated	Date Created
noticePublishedAt	Notice Published At
enquiryPeriodEnd	Enquiry Period End
tenderPeriodStart	Tender Period Start
tenderPeriodEnd	Tender Period End
dateModified	Date Modified
tenderUrl	Tender Url
source	Source

💼 Use cases

1. Reconstruction bids — find Ukrainian tenders in your sector. Input: keywords. Output: tenders + value + deadline. Use: a bid pipeline.

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

3. Market sizing — size public spend in a category. Input: keywords. Output: tenders + 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/ukraine-prozorro-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/ukraine-prozorro-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 Ukrainian Prozorro public-procurement system (official open data).

What do I search by? Keywords or buyer 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 Prozorro tender: the buyer, title, estimated value, status and deadline.

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 Prozorro 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

0.2 — 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 Ukrainian Prozorro public-procurement system (official open data) by name or registry ID.