search_doffin

Search Norwegian public procurement notices on Doffin.

Signature: search_doffin(query: string, optional, default ''; types: list of string (comma-separated), optional, default None; statuses: list of string (comma-separated), optional, default None; contract_nature: list of string (comma-separated), optional, default None; cpv_codes: list of string (comma-separated), optional, default None; locations: list of string (comma-separated), optional, default None; buyer: list of string (comma-separated), optional, default None; winner: list of string (comma-separated), optional, default None; date_from: string, optional, default None; date_to: string, optional, default None; sort_by: string, optional, default 'RELEVANCE'; include_placeholders: yes/no, optional, default False; limit: integer, items, optional, default 25; offset: integer, items, optional, default 0)

Direct GET

For navigating agents: open the HTML page with parameters in the URL. The result is fetched and displayed without screenshots or form filling.

Open this validated HTML GET URL

https://allemannsdata.com/wiki/kilder/doffin/search_doffin/?query=&types={types}&statuses={statuses}&contract_nature={contract_nature}&cpv_codes={cpv_codes}&locations={locations}&buyer={buyer}&winner={winner}&date_from={date_from}&date_to={date_to}&sort_by=RELEVANCE&include_placeholders=false&limit=25&offset=0

Replace {query}, {types}, {statuses}, {contract_nature}, {cpv_codes}, {locations}, {buyer}, {winner}, {date_from}, {date_to}, {sort_by}, {include_placeholders} with values. Remove unused optional parameters from the URL.

For software and dashboards: Read the operation descriptor. The JSON GET template is https://allemannsdata.com/wiki/api/v1/kilder/doffin/search_doffin?query=&types={types}&statuses={statuses}&contract_nature={contract_nature}&cpv_codes={cpv_codes}&locations={locations}&buyer={buyer}&winner={winner}&date_from={date_from}&date_to={date_to}&sort_by=RELEVANCE&include_placeholders=false&limit=25&offset=0. Open this exact request as JSON.

Parameter	Requirement	JSON type	Description
`query`	optional	string	Free-text search (Norwegian or English), e.g. "IT-drift", "snørydding", "rammeavtale konsulent". Start here.
`types`	optional	union	Filter by notice type. Parent types: PLANNING, COMPETITION, RESULT. Specific types: ANNOUNCEMENT_OF_COMPETITION, DYNAMIC_PURCHASING_SCHEME, QUALIFICATION_SCHEME, ANNOUNCEMENT_OF_INTENT, PRE_ANNOUNCEMENT, ADVISORY_NOTICE, NOTICE_ON_BUYER_PROFILE, ANNOUNCEMENT_OF_CONCLUSION_OF_CONTRACT, CHANGE_OF_CONCLUSION_OF_CONTRACT, CANCELLED_OR_MISSING_CONCLUSION_OF_CONTRACT. Use ["COMPETITION"] + statuses=["ACTIVE"] for open tenders.
`statuses`	optional	union	ACTIVE (open for bids), EXPIRED, AWARDED, CANCELLED.
`contract_nature`	optional	union	WORKS, SERVICES and/or SUPPLIES.
`cpv_codes`	optional	union	8-digit CPV codes, e.g. ["45000000"]. Matches the code and its children. Find codes with search_cpv_codes(). Best combined with a free-text query.
`locations`	optional	union	NUTS-style location ids, e.g. ["NO060"] (Trøndelag), or "anyw" for non-location-bound. See list_location_codes().
`buyer`	optional	union	Buyer organization full name(s) exactly as written on notices, e.g. ["Trondheim kommune"]. Resolved to Doffin's internal buyer id via a free-text lookup; names that match no buyer are reported in "note" and, if none match, no results are returned (rather than an unfiltered search). Pass the 32-hex buyer id from a result's buyer field directly to skip the lookup.
`winner`	optional	union	Doffin's internal supplier id (32-hex). Winner names cannot be used - they are not present in search results to resolve against.
`date_from`	optional	union	Publication date lower bound, "YYYY-MM-DD".
`date_to`	optional	union	Publication date upper bound, "YYYY-MM-DD".
`sort_by`	optional	string	RELEVANCE (default), PUBLICATION_DATE_DESC, PUBLICATION_DATE_ASC, DEADLINE, ESTIMATED_VALUE_ASC, ESTIMATED_VALUE_DESC.
`include_placeholders`	optional	boolean	By default, hits whose buyer fields look like unfilled eForm template values (org id 123456789, placeholder buyer names) are dropped from the results as junk. Set True to keep them, each flagged with "possible_placeholder": true.
`limit`	optional	integer	Gateway page size; default 25, maximum 100.
`offset`	optional	integer	Number of list items to skip; default 0.

Generated JavaScript, Python and response structure

Use JSON when the user requests code, machine-readable data, value extraction or further computation. Use the HTML GET page to identify the correct source and verify parameters.

Example for generated JavaScript and Python

https://allemannsdata.com/wiki/api/v1/kilder/doffin/search_doffin?query=&types={types}&statuses={statuses}&contract_nature={contract_nature}&cpv_codes={cpv_codes}&locations={locations}&buyer={buyer}&winner={winner}&date_from={date_from}&date_to={date_to}&sort_by=RELEVANCE&include_placeholders=false&limit=25&offset=0

Replace URL placeholders and remove unused optional parameters.

JavaScript in a dashboard

const url = "https://allemannsdata.com/wiki/api/v1/kilder/doffin/search_doffin?query=&types={types}&statuses={statuses}&contract_nature={contract_nature}&cpv_codes={cpv_codes}&locations={locations}&buyer={buyer}&winner={winner}&date_from={date_from}&date_to={date_to}&sort_by=RELEVANCE&include_placeholders=false&limit=25&offset=0";
const response = await fetch(url);
if (!response.ok) {
  const failure = await response.json();
  throw new Error(`${failure.error.code}: ${failure.error.message} ${failure.suggestion}`);
}
const result = await response.json();
const data = result.data;

Python without additional packages

import json
from urllib.request import urlopen

url = "https://allemannsdata.com/wiki/api/v1/kilder/doffin/search_doffin?query=&types={types}&statuses={statuses}&contract_nature={contract_nature}&cpv_codes={cpv_codes}&locations={locations}&buyer={buyer}&winner={winner}&date_from={date_from}&date_to={date_to}&sort_by=RELEVANCE&include_placeholders=false&limit=25&offset=0"
with urlopen(url) as response:
    result = json.load(response)
data = result["data"]

Response structure

{
  "source": "doffin",
  "operation": "search_doffin",
  "parameters": {},
  "data": {},
  "entities": [],
  "_meta": {"retrieved_at": "...", "sources": [], "cache": {}},
  "_links": {"self": "...", "source": "...", "wiki": "...", "feedback": "..."}
}

Form for manual use

The form is a fallback for people and browser agents that cannot open the GET URL directly.

query Type: string. Free-text search (Norwegian or English), e.g. "IT-drift", "snørydding", "rammeavtale konsulent". Start here.

types Type: list of string (comma-separated). Filter by notice type. Parent types: PLANNING, COMPETITION, RESULT. Specific types: ANNOUNCEMENT_OF_COMPETITION, DYNAMIC_PURCHASING_SCHEME, QUALIFICATION_SCHEME, ANNOUNCEMENT_OF_INTENT, PRE_ANNOUNCEMENT, ADVISORY_NOTICE, NOTICE_ON_BUYER_PROFILE, ANNOUNCEMENT_OF_CONCLUSION_OF_CONTRACT, CHANGE_OF_CONCLUSION_OF_CONTRACT, CANCELLED_OR_MISSING_CONCLUSION_OF_CONTRACT. Use ["COMPETITION"] + statuses=["ACTIVE"] for open tenders.

statuses Type: list of string (comma-separated). ACTIVE (open for bids), EXPIRED, AWARDED, CANCELLED.

contract_nature Type: list of string (comma-separated). WORKS, SERVICES and/or SUPPLIES.

cpv_codes Type: list of string (comma-separated). 8-digit CPV codes, e.g. ["45000000"]. Matches the code and its children. Find codes with search_cpv_codes(). Best combined with a free-text query.

locations Type: list of string (comma-separated). NUTS-style location ids, e.g. ["NO060"] (Trøndelag), or "anyw" for non-location-bound. See list_location_codes().

buyer Type: list of string (comma-separated). Buyer organization full name(s) exactly as written on notices, e.g. ["Trondheim kommune"]. Resolved to Doffin's internal buyer id via a free-text lookup; names that match no buyer are reported in "note" and, if none match, no results are returned (rather than an unfiltered search). Pass the 32-hex buyer id from a result's buyer field directly to skip the lookup.

winner Type: list of string (comma-separated). Doffin's internal supplier id (32-hex). Winner names cannot be used - they are not present in search results to resolve against.

date_from Type: string. Publication date lower bound, "YYYY-MM-DD".

date_to Type: string. Publication date upper bound, "YYYY-MM-DD".

sort_by Type: string. RELEVANCE (default), PUBLICATION_DATE_DESC, PUBLICATION_DATE_ASC, DEADLINE, ESTIMATED_VALUE_ASC, ESTIMATED_VALUE_DESC.

include_placeholders Type: yes/no. By default, hits whose buyer fields look like unfilled eForm template values (org id 123456789, placeholder buyer names) are dropped from the results as junk. Set True to keep them, each flagged with "possible_placeholder": true.

Result

Source: Doffin and TED. Retrieved 2026-11-02T17:47:36Z in 0.192 seconds.

total_count:

hits:

3 results

id:
2024-105120
buyer:
1 results
1. id:
  c62c1e3443533e14306e15b8d4e71f7c
  organization_id:
  971277882
  name:
  Norad – Direktoratet for utviklingssamarbeid
heading:
Improvement and updates of the analytical tools for Norad´s Clean Energy Portfolio
description:
The study will conduct a literature review and knowledge compilation of available research, evaluations, and reviews to refine the analytical knowledge base for Norad’s energy portfolio management. The Clean Energy portfolio aims to achieve increased access to affordable, clean energy and strengthened public management, to ensure economic and social development. Clean energy is supported through Norad, Norfund and the Embassies. Norad and the Embassies provide grant support. Norfund is funded over the state budget and provides risk-willing capital for business development in the form of equity, loans and guarantees. Total annual budget allocations for clean energy have fluctuated between 0.5 and 2.0 BNOK per year. Norad has recently (since 2022-23) adopted a more comprehensive portfolio management approach to clean energy interventions. The approach intends to achieve more efficient use of development cooperation funding and better coordination (synergies) of interventions supported through different channels. This is achieved through scorecard benchmarking of programmes and projects, aggregated reporting of results, as well as active coordination with the energy activities of Norfund and the Embassies. The portfolio management will be supported by long term investment planning and analytical tools such as Theory of Change (ToC), Knowledge Plans, and Result Management Plans at portfolio level. The analytical tools and knowledge base is currently under development, and will be subject to constant revision and refinement, factoring in also broader contextual changes.
location_id:
1 results
1. NO081
estimatedValue:
currencyCode:
NOK
amount:
1300000.0
type:
ANNOUNCEMENT_OF_COMPETITION
allTypes:
2 results
1. COMPETITION
2. ANNOUNCEMENT_OF_COMPETITION
status:
EXPIRED
issueDate:
2024-04-10T10:10:10Z
deadline:
2024-04-30T10:00:00Z
sentToTed:
no
publicationDate:
2024-04-11
placeOfPerformance:
- Oslo
procurementStrategicLabels:
No results.
id:
2025-100848
buyer:
1 results
1. id:
  7fcceaaff6948f767e629e00b5fcc8d1
  organization_id:
  916879067
  name:
  SYKEHUSINNKJØP HF
heading:
AI Tools - Pathology
description:
Helse Vest is the first region in Norway to achieve complete digital diagnostics in pathology. The four pathology departments in the region all use the same scanners, the same laboratory information and management system (LIMS, Unilab) and image management system (IMS, Sectra). The Helse Vest region is currently in a unique (inter)national position to prove the real innovative potential of artificial intelligence (AI) tools in pathology diagnostics.Currently many different AI tools and image analyses software packages have been CE-IVD approved for use in clinical routine practice, but until now very few pathology departments have implemented these computer-aided diagnostic (CAD) tools in daily clinical practice.The four pathology departments in Helse Vest aim to implement AI tools to enhance the efficiency, speed and objectivity of pathology diagnostics. More importantly, patients will benefit from superior tissue diagnostics that forms the basis for personalized treatment.The short-term goal is to purchase and implement AI tools for:•Automatic quantification of proliferation biomarker KI67 in breast cancer (Sub Contract 01)•Automatic detection and grading of prostate cancer. (Sub Contract 02)An important partner in this project will be Helse Vest IKT because the AI tools to be acquired have to be integrated with our IMS Sectra.Helse Sør-Øst operates 8 pathology departments and is participating in the competition with the option to enter into similar agreements as Helse Vest.
location_id:
11 results
1. NO0A1
2. NO020
3. NO085
4. NO084
5. NO083
6. NO094
7. NO082
8. NO093
9. NO081
10. NO091
11. NO0A2
estimatedValue:
not reported by source
type:
ANNOUNCEMENT_OF_COMPETITION
allTypes:
2 results
1. COMPETITION
2. ANNOUNCEMENT_OF_COMPETITION
status:
EXPIRED
issueDate:
2025-01-20T12:48:27Z
deadline:
2025-02-21T11:00:00Z
sentToTed:
yes
publicationDate:
2025-01-21
placeOfPerformance:
procurementStrategicLabels:
No results.
id:
2024-109516
buyer:
1 results
1. id:
  2d20aebe07a30c63c7054478dd4c8496
  organization_id:
  971032081
  name:
  Statens vegvesen
heading:
RFI - Procurement tools
description:
The Norwegian Public Roads Administration (NPRA) is one of the largest public purchasers in Norway. To achieve our strategic goals, we are facing a digital transformation where we aim to enhance our procurement processes in line with the parliamentary report " Smarter purchasing – efficient and professional public procurement (2018-2019).” This involves a transition from manual processes to a seamless, efficient, and transparent digital procurement process. With better tools and solutions, the Norwegian Public Roads Administration will be able to handle planning, competitive tendering and ordering in a more structured and innovative way across its divisions. This will also include efficient contract- and category management to become a fully digital administrative body. We are currently in the concept phase of digitizing our source-to-pay procurement process. During this phase, we aim to identify the future needs for our procurement ecosystem's architecture. The goal is to create a comprehensive and efficient digital process by developing and integrating existing solutions and implementing new digital tools carefully adapted to the organization's needs and workflow. Therefore, we seek an open dialogue with the market to explore available opportunities and how we can maximize their benefits. We plan to discuss the design of our ecosystem with suppliers, focusing on how their solutions can fit into this framework, including standard functionalities and integrations. We are also committed to providing excellent user experience for all our users. We are conducting this request for information to gain an overview of the procurement solutions available in the supplier market. Based on this insight, we will create a target picture for future implementation, as well as carry out one or more sourcing/tendering processes to acquire the new procurement tools. The sourcing processes are tentatively scheduled for Q1 2025.
location_id:
1 results
1. anyw
estimatedValue:
not reported by source
type:
ADVISORY_NOTICE
allTypes:
2 results
1. PLANNING
2. ADVISORY_NOTICE
status:
not reported by source
issueDate:
2024-06-21T07:00:24Z
deadline:
not reported by source
sentToTed:
yes
publicationDate:
2024-06-24
placeOfPerformance:
- Ikke stedbunden
procurementStrategicLabels:
No results.

Show all fields in HTML

total_count:

hits:

3 results

id:
2024-105120
buyer:
1 results
1. id:
  c62c1e3443533e14306e15b8d4e71f7c
  organization_id:
  971277882
  name:
  Norad – Direktoratet for utviklingssamarbeid
heading:
Improvement and updates of the analytical tools for Norad´s Clean Energy Portfolio
description:
The study will conduct a literature review and knowledge compilation of available research, evaluations, and reviews to refine the analytical knowledge base for Norad’s energy portfolio management. The Clean Energy portfolio aims to achieve increased access to affordable, clean energy and strengthened public management, to ensure economic and social development. Clean energy is supported through Norad, Norfund and the Embassies. Norad and the Embassies provide grant support. Norfund is funded over the state budget and provides risk-willing capital for business development in the form of equity, loans and guarantees. Total annual budget allocations for clean energy have fluctuated between 0.5 and 2.0 BNOK per year. Norad has recently (since 2022-23) adopted a more comprehensive portfolio management approach to clean energy interventions. The approach intends to achieve more efficient use of development cooperation funding and better coordination (synergies) of interventions supported through different channels. This is achieved through scorecard benchmarking of programmes and projects, aggregated reporting of results, as well as active coordination with the energy activities of Norfund and the Embassies. The portfolio management will be supported by long term investment planning and analytical tools such as Theory of Change (ToC), Knowledge Plans, and Result Management Plans at portfolio level. The analytical tools and knowledge base is currently under development, and will be subject to constant revision and refinement, factoring in also broader contextual changes.
location_id:
1 results
1. NO081
estimatedValue:
currencyCode:
NOK
amount:
1300000.0
type:
ANNOUNCEMENT_OF_COMPETITION
allTypes:
2 results
1. COMPETITION
2. ANNOUNCEMENT_OF_COMPETITION
status:
EXPIRED
issueDate:
2024-04-10T10:10:10Z
deadline:
2024-04-30T10:00:00Z
sentToTed:
no
publicationDate:
2024-04-11
placeOfPerformance:
- Oslo
procurementStrategicLabels:
No results.
id:
2025-100848
buyer:
1 results
1. id:
  7fcceaaff6948f767e629e00b5fcc8d1
  organization_id:
  916879067
  name:
  SYKEHUSINNKJØP HF
heading:
AI Tools - Pathology
description:
Helse Vest is the first region in Norway to achieve complete digital diagnostics in pathology. The four pathology departments in the region all use the same scanners, the same laboratory information and management system (LIMS, Unilab) and image management system (IMS, Sectra). The Helse Vest region is currently in a unique (inter)national position to prove the real innovative potential of artificial intelligence (AI) tools in pathology diagnostics.Currently many different AI tools and image analyses software packages have been CE-IVD approved for use in clinical routine practice, but until now very few pathology departments have implemented these computer-aided diagnostic (CAD) tools in daily clinical practice.The four pathology departments in Helse Vest aim to implement AI tools to enhance the efficiency, speed and objectivity of pathology diagnostics. More importantly, patients will benefit from superior tissue diagnostics that forms the basis for personalized treatment.The short-term goal is to purchase and implement AI tools for:•Automatic quantification of proliferation biomarker KI67 in breast cancer (Sub Contract 01)•Automatic detection and grading of prostate cancer. (Sub Contract 02)An important partner in this project will be Helse Vest IKT because the AI tools to be acquired have to be integrated with our IMS Sectra.Helse Sør-Øst operates 8 pathology departments and is participating in the competition with the option to enter into similar agreements as Helse Vest.
location_id:
11 results
1. NO0A1
2. NO020
3. NO085
4. NO084
5. NO083
6. NO094
7. NO082
8. NO093
9. NO081
10. NO091
11. NO0A2
estimatedValue:
not reported by source
type:
ANNOUNCEMENT_OF_COMPETITION
allTypes:
2 results
1. COMPETITION
2. ANNOUNCEMENT_OF_COMPETITION
status:
EXPIRED
issueDate:
2025-01-20T12:48:27Z
deadline:
2025-02-21T11:00:00Z
sentToTed:
yes
publicationDate:
2025-01-21
placeOfPerformance:
procurementStrategicLabels:
No results.
id:
2024-109516
buyer:
1 results
1. id:
  2d20aebe07a30c63c7054478dd4c8496
  organization_id:
  971032081
  name:
  Statens vegvesen
heading:
RFI - Procurement tools
description:
The Norwegian Public Roads Administration (NPRA) is one of the largest public purchasers in Norway. To achieve our strategic goals, we are facing a digital transformation where we aim to enhance our procurement processes in line with the parliamentary report " Smarter purchasing – efficient and professional public procurement (2018-2019).” This involves a transition from manual processes to a seamless, efficient, and transparent digital procurement process. With better tools and solutions, the Norwegian Public Roads Administration will be able to handle planning, competitive tendering and ordering in a more structured and innovative way across its divisions. This will also include efficient contract- and category management to become a fully digital administrative body. We are currently in the concept phase of digitizing our source-to-pay procurement process. During this phase, we aim to identify the future needs for our procurement ecosystem's architecture. The goal is to create a comprehensive and efficient digital process by developing and integrating existing solutions and implementing new digital tools carefully adapted to the organization's needs and workflow. Therefore, we seek an open dialogue with the market to explore available opportunities and how we can maximize their benefits. We plan to discuss the design of our ecosystem with suppliers, focusing on how their solutions can fit into this framework, including standard functionalities and integrations. We are also committed to providing excellent user experience for all our users. We are conducting this request for information to gain an overview of the procurement solutions available in the supplier market. Based on this insight, we will create a target picture for future implementation, as well as carry out one or more sourcing/tendering processes to acquire the new procurement tools. The sourcing processes are tentatively scheduled for Q1 2025.
location_id:
1 results
1. anyw
estimatedValue:
not reported by source
type:
ADVISORY_NOTICE
allTypes:
2 results
1. PLANNING
2. ADVISORY_NOTICE
status:
not reported by source
issueDate:
2024-06-21T07:00:24Z
deadline:
not reported by source
sentToTed:
yes
publicationDate:
2024-06-24
placeOfPerformance:
- Ikke stedbunden
procurementStrategicLabels:
No results.

Will you use the result in generated code?

Open the same result as JSON

Is data missing or incorrect? Send feedback about this result.

Continue exploring

How an AI agent should use this page

Ground rule: Navigate with HTML GET links to keep explanations and relationships. Use the page's JSON alternative only when concrete values must be extracted, compared or computed.

How to use the search_doffin lookup

Replace the placeholders in the HTML GET template; remove optional parameters you do not need.
Check types, units, limits and ID formats in the parameter table.
Follow linked results to canonical pages before combining sources.

Misreading to avoid: An empty list means "no results for this lookup". An error message or unavailable source does not mean the data does not exist.

Source-specific next step

Follow the notice ID to the canonical page; use CPV and location codes to narrow broad free-text searches.

Go to the source page for other operations. Use the JSON template only after the HTML result shows that the parameters and source are correct.

AI agent? Read the complete navigation and programming guide.