EU CORDIS Research Projects & Funding Scraper

Here is one real result, with every field the actor returns (all AI add-ons enabled; the long objective text is trimmed here, the run returns it in full):

{
  "id": "101276786",
  "acronym": "GREENJET",
  "title": "Sustainable Jet Fuel Production from Biomass Derivatives via Green MOF Catalysis",
  "status": "SIGNED",
  "url": "https://cordis.europa.eu/project/id/101276786",
  "objective": "Despite global advances in the implementation of clean energy and the decoupling of the economy from fossil fuels, the electrification of the aviation sector remains challenging. As a result, the development of sustainable aviation fuels (SAFs) to reduce the carbon print of aviation has become a priority...",
  "frameworkProgramme": "HORIZON",
  "programmeCode": "HORIZON-MSCA-2025-PF-01-01",
  "programmeTitle": "MSCA Postdoctoral Fellowships 2025",
  "callIdentifier": "HORIZON-MSCA-2025-PF",
  "callTitle": "HORIZON-MSCA-2025-PF",
  "totalCost": 0,
  "ecMaxContribution": 260347.92,
  "startDate": "2027-09-01",
  "endDate": "2029-08-31",
  "durationMonths": 24,
  "ecSignatureDate": "2026-04-09",
  "coordinatorName": "UNIVERSITY OF WARWICK",
  "coordinatorCountry": "UK",
  "coordinatorCity": "COVENTRY",
  "participantCount": 0,
  "participantOrgs": [],
  "participantCountries": ["UK"],
  "grantDoi": "10.3030/101276786",
  "rcn": "287769",
  "lastUpdateDate": "2026-04-14 13:57:57",
  "source": "CORDIS",
  "observedAt": "2026-08-15T04:17:21.406Z",
  "aiSummary": "The GREENJET project aims to develop sustainable aviation fuels (SAFs) from biomass derivatives using innovative green catalysis methods. By optimizing the production of Metal-Organic-Frameworks (MOFs) as catalysts, the project seeks to create efficient and environmentally friendly processes for transforming biomass into high-energy SAFs, ultimately contributing to the reduction of greenhouse gas emissions in the aviation sector.",
  "aiKeywords": ["sustainable aviation fuels", "biomass derivatives", "green MOF catalysis", "mechanochemistry", "decarbonization", "hydrogenation", "SAF precursors", "Life Cycle Assessment", "Techno-Economic Analysis", "green chemistry"],
  "aiField": "Renewable Energy",
  "aiExtract": {
    "aims": ["develop sustainable aviation fuels (SAFs) to reduce the carbon print of aviation", "apply mechanochemistry to develop green preparation methods of Metal-Organic-Frameworks (MOFs) as catalysts"],
    "approach": "The project applies mechanochemistry to optimize the preparation and activation of MOFs for catalyzing the transformation of biomass derivatives into SAFs.",
    "expectedOutcomes": ["valuable SAFs produced under mild conditions", "contribution to the global effort to reduce greenhouse gas emissions"]
  }
}

The most complete EU CORDIS research projects scraper available. It returns every field CORDIS exposes for each funded project, including the EU contribution and total cost, framework programme and call, coordinator and participant organisations with countries, dates, and grant DOI, plus optional AI add-ons for a plain-language summary, keywords, research field, and a structured grant profile, and it gives you keyword, programme, country, year, and status filters.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor searches CORDIS (the EU's research and innovation project database) for each keyword you pass, applies the programme, country, year, and status filters, merges the results, and writes one normalized record per project to the run's dataset. Each record carries the funding figures (EU contribution and total cost), framework programme and call identifiers, coordinator and participant organisations with countries, project dates and duration, the full objective text, and the grant DOI. Optional AI add-ons write a plain-language summary, extract keywords, classify the research field, and build a structured grant profile.

Data covers EU-funded research projects under Horizon Europe, Horizon 2020, FP7, FP6, and earlier programmes. Missing source values are returned as null or empty, never invented.

Quickstart

Open the actor, paste this into the input, and press Run. It searches CORDIS for hydrogen projects.

{
  "searchQueries": ["hydrogen"],
  "maxProjects": 10
}

Add more keywords to searchQueries (each runs its own search and results merge), or leave it empty to list all projects. Narrow with programmes, countries, fromYear/toYear, or status.

Input reference

Field	Type	Required	Default	Description
searchQueries	string[]	no	["hydrogen"]	Keywords or topics to search across CORDIS projects. Each keyword runs its own search and results are merged. Empty lists all projects.
programmes	string[]	no	(all)	Keep only projects under these EU framework programmes. Use codes such as HORIZON, H2020, FP7, FP6.
countries	string[]	no	(all)	Keep only projects involving at least one organisation from these countries. Use 2-letter ISO codes, for example DE, FR, ES.
fromYear	integer	no	(none)	Only include projects that start in or after this year.
toYear	integer	no	(none)	Only include projects that start in or before this year.
status	enum	no	(any)	Filter by project status: SIGNED, CLOSED, ONGOING, TERMINATED.
maxProjects	integer	no	50	Maximum number of projects to collect across all keywords.
withAiSummary	boolean	no	false	AI add-on (paid plans). Generate a 2-3 sentence plain-language summary from each objective. Billed only when a summary is produced.
withAiKeywords	boolean	no	false	AI add-on (paid plans). Extract 5-10 topical keywords per project. Billed only when keywords are produced.
withAiField	boolean	no	false	AI add-on (paid plans). Classify each project's research field/discipline. Billed only when a classification is produced.
withAiExtract	boolean	no	false	AI add-on (paid plans). Extract a structured grant profile (aims, approach, expected outcomes). Billed only when structured data is produced.

Output reference

One dataset item per project. Types: string, integer, number, array, object, or null when the source value is absent. ai* fields appear only when the matching add-on is enabled.

Field	Type	Description
id	string	CORDIS project id (unique).
acronym	string	Project acronym.
title	string	Full project title.
status	string	Project status: SIGNED, CLOSED, ONGOING, or TERMINATED.
url	string	CORDIS project page URL.
objective	string	Full project objective/abstract text.
frameworkProgramme	string	Framework programme, for example HORIZON, H2020.
programmeCode	string	Specific programme/topic code.
programmeTitle	string	Programme/topic title.
callIdentifier	string	Call identifier.
callTitle	string	Call title.
totalCost	number	Total project cost in EUR (0 when not published).
ecMaxContribution	number	Maximum EU contribution in EUR.
startDate	string	Project start date (YYYY-MM-DD).
endDate	string	Project end date (YYYY-MM-DD).
durationMonths	integer	Project duration in months.
ecSignatureDate	string	Grant agreement signature date.
coordinatorName	string	Coordinating organisation name.
coordinatorCountry	string	Coordinator country (ISO code).
coordinatorCity	string	Coordinator city.
participantCount	integer	Number of participant organisations.
participantOrgs	string[]	Participant organisation names.
participantCountries	string[]	Countries of participating organisations.
grantDoi	string	Grant DOI.
rcn	string	CORDIS record number (RCN).
lastUpdateDate	string	Date the CORDIS record was last updated.
source	string	Data source label (CORDIS).
observedAt	string	ISO 8601 timestamp of when the record was collected.
aiSummary	string	AI plain-language summary (only with withAiSummary).
aiKeywords	string[]	AI topical keywords (only with withAiKeywords).
aiField	string	AI research field/discipline (only with withAiField).
aiExtract	object	AI structured grant profile: aims, approach, expectedOutcomes (only with withAiExtract).

On a failed run, a single item with a populated error field is written instead.

Example output record

Real record from a live run (input {"searchQueries": ["hydrogen"], "maxProjects": 5, "withAiSummary": true, "withAiKeywords": true, "withAiField": true, "withAiExtract": true}). The objective and aiExtract arrays are trimmed here; the run returns them in full.

{
  "id": "101276786",
  "acronym": "GREENJET",
  "title": "Sustainable Jet Fuel Production from Biomass Derivatives via Green MOF Catalysis",
  "status": "SIGNED",
  "url": "https://cordis.europa.eu/project/id/101276786",
  "frameworkProgramme": "HORIZON",
  "programmeCode": "HORIZON-MSCA-2025-PF-01-01",
  "programmeTitle": "MSCA Postdoctoral Fellowships 2025",
  "totalCost": 0,
  "ecMaxContribution": 260347.92,
  "startDate": "2027-09-01",
  "endDate": "2029-08-31",
  "durationMonths": 24,
  "coordinatorName": "UNIVERSITY OF WARWICK",
  "coordinatorCountry": "UK",
  "coordinatorCity": "COVENTRY",
  "participantCountries": ["UK"],
  "grantDoi": "10.3030/101276786",
  "rcn": "287769",
  "source": "CORDIS",
  "observedAt": "2026-08-15T04:17:21.406Z",
  "aiField": "Renewable Energy",
  "aiKeywords": ["sustainable aviation fuels", "biomass derivatives", "green MOF catalysis", "mechanochemistry", "decarbonization"]
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~eu-cordis-projects-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["hydrogen"],"programmes":["HORIZON"],"maxProjects":25}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~eu-cordis-projects-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["artificial intelligence"],"countries":["DE","FR"],"fromYear":2021,"status":"SIGNED","maxProjects":100}'

Apify CLI:

apify call scrapers_lat/eu-cordis-projects-scraper \
  --input '{"searchQueries":["cancer"],"maxProjects":50}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per project record returned (result event). See the pricing tab for the current per-result price.
• Optional AI add-ons. ai_summary, ai_keywords, ai_field, and ai_extract are billed per project and only when they produce usable output. Add-ons are disabled for free plans.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results and add-ons.
• Free Apify plans are capped at 10 records per run. Upgrade for higher maxProjects.

FAQ and troubleshooting

A run returned 0 records. Why? Your keyword or filters matched nothing. Try a broader keyword, remove a country/programme/year filter, or leave searchQueries empty to list all projects. Zero-result runs are not charged.

Which framework programmes are covered? All CORDIS programmes, including Horizon Europe (HORIZON), Horizon 2020 (H2020), FP7, and FP6. Use programmes to restrict to specific ones.

How is the funding reported? ecMaxContribution is the maximum EU contribution and totalCost is the total project budget, both in EUR. totalCost is 0 when CORDIS does not publish it.

Can I get all the partner organisations? Yes. participantOrgs and participantCountries list the partners, and coordinatorName/coordinatorCountry identify the coordinator.

What do the AI add-ons return? withAiSummary writes a plain-language summary, withAiKeywords extracts topical keywords, withAiField classifies the research field, and withAiExtract builds a structured aims/approach/outcomes profile. Each is billed only when it produces output.

Is this an official EU tool? No. This actor is independent and has no affiliation with the European Commission or CORDIS. It reads only data that is publicly available on CORDIS.

Related scrapers

• EU TED Tenders Scraper: EU public procurement notices.
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• USA NSF Awards Scraper: US National Science Foundation awards.
• Grants.gov Opportunity Scraper: US federal grant opportunities.
• World Bank Projects Scraper: World Bank development projects.

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Independent tool, not affiliated with the European Commission or CORDIS. Accesses only publicly available data on CORDIS.