Open knowledge
Romania
Public data / Dataset

TED public procurement notices

Search and download notices to examine Romanian authorities' procurement published on TED.

Before you use this resource

Does not represent all local procurement. Documentation limits pages to 250 notices; page-number mode retrieves at most 15,000 results.

Published by
Publications Office of the European Union
Source
Public institution
Collection
Public data
Resource type
Dataset
Coverage
Published TED notices, filterable by buyer or place of performance. Exact API historical boundary not verified.
Documented formats
XML, JSON
Licence / terms
Reuse permitted; metadata CC0 1.0
API access
Documented API
Record review date
2026-09-07
Last resource update
Unknown
Technical data audit
Not performed
Documentation
Source reviewed

Documentation

The listed documentation and terms were reviewed. The full file or API query was not tested.

The cited page documents this record. Check the original source for terms and versions before reuse.

docs.ted.europa.eu ↗

Getting started

  1. Read the documentation for filtering by buyer or place of performance.
  2. Send a POST request to the API following its documented example.
  3. Retain notice identifiers and look for corrections or related award notices.

Access and checks

Reuse terms evidence ↗

Direct API queries

curl -s -X POST 'https://api.ted.europa.eu/v3/notices/search' \
  -H "Content-Type: application/json" \
  -d '{"q":"CY:[RO]","page":1,"limit":5}' | jq .
import urllib.request
import json

url = "https://api.ted.europa.eu/v3/notices/search"
payload = json.dumps({"q":"CY:[RO]","page":1,"limit":5}).encode("utf-8")
req = urllib.request.Request(
    url, data=payload,
    headers={"Content-Type": "application/json", "User-Agent": "CunoastereDeschisa/1.7"}
)
with urllib.request.urlopen(req) as resp:
    print(resp.read().decode("utf-8")[:500])
library(httr2)

resp <- request("https://api.ted.europa.eu/v3/notices/search") |>
  req_body_raw('{"q":"CY:[RO]","page":1,"limit":5}', "application/json") |>
  req_perform()
data <- resp_body_json(resp)
str(data)
-- DuckDB (save response via cURL, then query):
-- 1. curl -s -X POST 'https://api.ted.europa.eu/v3/notices/search' -H "Content-Type: application/json" -d '{"q":"CY:[RO]","page":1,"limit":5}' > data.json
-- 2. DuckDB:
INSTALL httpfs; LOAD httpfs;
SELECT * FROM read_json_auto('data.json');
Executable query snippets for command line, data pipelines, or DuckDB.

Continue your research

Editorial suggestions for discovery. These links do not establish technical integration or licence compatibility.

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