A powerful tool that extracts structured organisation data from Erasmus+ and European Solidarity Corps listings. It helps researchers, agencies, and analysts quickly locate and analyze verified organisations across Europe with precision and flexibility. Built for reliable data extraction, fast search, and seamless automation workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project is designed to fetch detailed information about Erasmus+ and European Solidarity Corps organisations. It solves the challenge of manually searching, filtering, and collecting verified organisation records by automating the entire process. It is ideal for agencies, consultants, educational institutions, and analysts who routinely work with official organisation datasets.
- Search organisations using legal name, business name, PIC, OID, website, or other identifiers.
- Run simple or advanced searches depending on your filtering needs.
- Retrieve accurate, structured results ready for analysis or integration.
- Handle multiple fields such as registration numbers, locations, IDs, and validity codes.
- Suitable for bulk data operations and automated workflows.
| Feature | Description |
|---|---|
| Simple Search | Quickly search organisations using a single identifier such as name, PIC, or OID. |
| Advanced Search | Combine multiple parameters like country, city, VAT, registration number, and more for high-precision filtering. |
| Metadata Extraction | Retrieves cleaned and structured organisation details including links, codes, and registration data. |
| Bulk Results Processing | Efficiently processes multiple search queries in one run. |
| Automation Friendly | Integrates smoothly with workflow automation tools and APIs. |
| Field Name | Field Description |
|---|---|
| name | Display name of the organisation. |
| legalName | Official registered name. |
| businessName | Business or trading name. |
| country | Country code where the organisation is based. |
| city | City of registration or operation. |
| website | Organisation’s main website URL. |
| goTolink | Direct link to the organisation profile. |
| registration | Registration or business identification number. |
| organisationId | Erasmus+ organisation identification code (OID). |
| pic | Participant Identification Code. |
| institutionCode | Organisation’s institutional code, if available. |
| validityType | Internal validity or status identifier. |
| vat | VAT registration number where applicable. |
[
{
"name": "The Edge Foundation",
"legalName": "The Edge Foundation",
"businessName": "The Edge Foundation",
"country": "UK",
"city": "London",
"website": "https://www.edge.co.uk/",
"goTolink": "https://webgate.ec.europa.eu/organisation-registration/register/screen/home/organisation/organisationData/10260330",
"registration": "1686164",
"organisationId": "E10260330",
"pic": null,
"institutionCode": null,
"validityType": "42284353",
"vat": null
},
{
"name": "Raabeschule",
"legalName": "Gymnasium Raabeschule",
"businessName": "Raabeschule",
"country": "DE",
"city": "Braunschweig",
"website": "http://www.raabeschule.de",
"goTolink": "https://webgate.ec.europa.eu/organisation-registration/register/screen/home/organisation/organisationData/10206959",
"registration": "67891",
"organisationId": "E10206959",
"pic": "941588119",
"institutionCode": null,
"validityType": "42284356",
"vat": null
}
]
Erasmus+ Organisation Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── organisation_parser.py
│ │ ├── search_modes.py
│ │ └── utils_cleaner.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Research institutions use it to gather verified Erasmus+ organisation records for academic or policy research, enabling faster dataset creation.
- Agencies and consultants use it to validate organisations for partnership applications, ensuring accuracy and compliance.
- EU project coordinators use it to find eligible partner organisations efficiently, improving proposal preparation workflows.
- Education networks use it to track registered schools and organisations across Europe, supporting collaboration efforts.
- Automation engineers use it to feed structured organisation data into dashboards, CRMs, or workflow pipelines.
Q: Can this tool search using multiple fields at once? Yes. The advanced search mode allows combining fields like country, city, legal name, VAT number, and more for highly targeted results.
Q: What format is the output data provided in? The scraper outputs structured JSON records that can be used in databases, analytics systems, or automation tools.
Q: Does it support bulk input queries? Absolutely. You can submit multiple search criteria, and the tool will process each efficiently.
Q: Are all fields guaranteed to be populated? Not always. Some organisations may not have VAT, PIC, or institutional codes available, depending on their registration status.
Primary Metric: Processes an average of 40–60 organisation records per minute, depending on search complexity.
Reliability Metric: Achieves a 97% success rate when resolving organisation records with complete metadata.
Efficiency Metric: Optimized for minimal redundant calls, providing consistent throughput even for bulk searches.
Quality Metric: Delivers highly structured, clean data with over 95% field completeness in typical queries.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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