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Add Barclays Germany
Signed-off-by: Christos Sidiropoulos <[email protected]>
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de/barclays/Readme.md

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# Barclays Bank Germany
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Barclays Bank Germany does not provide a CSV export option, but you can download the transactions in MS Excel format.
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### Preprocessing
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#### Create a valid CSV out of the downloaded Excel file
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Open the Excel file in MS Excel or any alternativve like Libre Office Calc and save it as a CSV file. Than renove the first 12 lines (everthing till the header of the table). You can do that:
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- Automatically in Linux:
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- `tail -n +13 /path/to/your/Accounts.csv > /path/to/your/Accounts_edit.csv`or
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- `sed -i '1,12d' /path/to/your/Accounts.csv` or
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- `sed '1,12d' /path/to/your/Accounts.csv > /path/to/your/Accounts_edit.csv` if you want to keep the original file
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- Manually removing the first 12 lines in a text editor
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### Example header
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`Referenznummer;Buchungsdatum;Buchungsdatum;Betrag;Beschreibung;Typ;Status;Kartennummer;Originalbetrag;Mögliche Zahlpläne;Land;Name des Karteninhabers;Kartennetzwerk;Kontaktlose Bezahlung;Händlerdetails`

de/barclays/barclays.json

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{
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"version": 3,
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"source": "ff3-importer-1.6.1",
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"created_at": "2025-03-16T10:15:03+01:00",
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"date": "d.m.Y",
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"default_account": 0,
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"delimiter": "semicolon",
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"headers": true,
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"rules": false,
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"skip_form": false,
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"add_import_tag": true,
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"roles": [
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"internal_reference",
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"date_book",
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"date_transaction",
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"amount",
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"opposing-name",
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"note",
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"_ignore",
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"note",
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"_ignore",
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"_ignore",
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"note",
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"_ignore",
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"note",
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"_ignore",
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"description"
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],
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"do_mapping": [
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false,
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false
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],
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"mapping": [],
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"duplicate_detection_method": "classic",
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"ignore_duplicate_lines": true,
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"unique_column_index": 0,
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"unique_column_type": "internal_reference",
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"flow": "file",
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"content_type": "csv",
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"custom_tag": "",
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"identifier": "0",
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"connection": "0",
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"ignore_spectre_categories": false,
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"grouped_transaction_handling": "",
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"use_entire_opposing_address": false,
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"map_all_data": false,
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"accounts": [],
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"date_range": "",
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"date_range_number": 30,
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"date_range_unit": "d",
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"date_not_before": "",
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"date_not_after": "",
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"nordigen_country": "",
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"nordigen_bank": "",
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"nordigen_requisitions": [],
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"nordigen_max_days": "90",
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"conversion": false,
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"ignore_duplicate_transactions": true
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}

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