tap-spreadsheets
tap-spreadsheets is a Singer tap for spreadsheets.
Built with the Meltano Tap SDK for Singer Taps.
Capabilities
catalogstatediscoveractivate-versionaboutstream-mapsschema-flatteningbatch
Supported Python Versions
- 3.10
- 3.11
- 3.12
- 3.13
- 3.14
Settings
| Setting | Required | Default | Description |
|---|---|---|---|
| files | True | None | List of file configurations. |
| stream_maps | False | None | Config object for stream maps capability. For more information check out Stream Maps. |
| stream_maps.else | False | None | Currently, only setting this to __NULL__ is supported. This will remove all other streams. |
| stream_map_config | False | None | User-defined config values to be used within map expressions. |
| faker_config | False | None | Config for the Faker instance variable fake used within map expressions. Only applicable if the plugin specifies faker as an additional dependency (through the singer-sdk faker extra or directly). |
| faker_config.seed | False | None | Value to seed the Faker generator for deterministic output: https://faker.readthedocs.io/en/master/#seeding-the-generator |
| faker_config.locale | False | None | One or more LCID locale strings to produce localized output for: https://faker.readthedocs.io/en/master/#localization |
| flattening_enabled | False | None | 'True' to enable schema flattening and automatically expand nested properties. |
| flattening_max_depth | False | None | The max depth to flatten schemas. |
| batch_config | False | None | Configuration for BATCH message capabilities. |
| batch_config.encoding | False | None | Specifies the format and compression of the batch files. |
| batch_config.encoding.format | False | None | Format to use for batch files. |
| batch_config.encoding.compression | False | None | Compression format to use for batch files. |
| batch_config.storage | False | None | Defines the storage layer to use when writing batch files |
| batch_config.storage.root | False | None | Root path to use when writing batch files. |
| batch_config.storage.prefix | False | None | Prefix to use when writing batch files. |
A full list of supported settings and capabilities is available by running: tap-spreadsheets --about
Configuration
Accepted Config Options
files (array) List of file configurations. Each entry is an object with keys:
path(string, required): Glob expression (local or S3).format(string): 'excel' or 'csv'.worksheet(string, required for type excel): Worksheet index, name or regular expression (Excel only). Using regular expressions, any matching worksheet will be processed.table_name(string): Optional stream name (defaults to file name).primary_keys(array): List of PK column names.drop_empty(boolean): Drop rows with empty/null PKs.skip_columns(integer): Number of leading columns to skip.skip_rows(integer): Rows to skip before headers.sample_rows(integer): Rows to sample for schema inference.column_headers(array): Explicit column headers.delimiter(string): CSV delimiter. Inferred if not provided or default to ",".quotechar(string): CSV quote char. Inferred if not provided or default '"'.schema_overrides(dict): Overrrides JSON schema definition per field. Eg.schema_overrides: { my_column_name: { type: [string, "null"] } }
Example
config:
files:
- path: data/*.xlsx
format: excel
# table_name: test_sheet1
primary_keys: [date]
drop_empty: true
worksheet: Sheet1
- path: data/*.xlsx
format: excel
worksheet: "Report 20[0-9]{2}"
table_name: my_xlsx_sheet2
primary_keys: [date, total]
drop_empty: true
skip_columns: 1
skip_rows: 4
- path: s3://my-bucket/reports/*.csv
format: csv
table_name: csv_reports
primary_keys: [id]
delimiter: ";"
quotechar: "'"
To use an S3-based storage ensure to provide those envirnoment variables:
S3_ACCESS_KEY_ID,S3_SECRET_ACCESS_KEYaccess key/secret pairS3_ENDPOINT_URLCustom S3 endpoint such as minio or compatible interface
Example:
S3_ACCESS_KEY_ID=minioadmin S3_SECRET_ACCESS_KEY=minioadmin S3_ENDPOINT_URL=http://localhost:19000 meltano run tap-spreadsheets target-jsonl
A full list of supported settings and capabilities for this tap is available by running:
tap-spreadsheets --about
Configure using environment variables
This Singer tap will automatically import any environment variables within the working directory's
.env if the --config=ENV is provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the .env file.
Installation
Install from PyPI:
Install from GitHub:
uv tool install git+https://github.com/ORG_NAME/tap-spreadsheets.git@main
Usage
You can easily run tap-spreadsheets by itself or in a pipeline using Meltano.
Executing the Tap Directly
tap-spreadsheets --version
tap-spreadsheets --help
tap-spreadsheets --config CONFIG --discover > ./catalog.json
Developer Resources
Follow these instructions to contribute to this project.
Initialize your Development Environment
Prerequisites:
- Python 3.10+
- uv
uv sync
Create and Run Tests
Create tests within the tests subfolder and
then run:
uv run pytest
You can also test the tap-spreadsheets CLI interface directly using uv run:
uv run tap-spreadsheets --help
Testing with Meltano
Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.
Next, install Meltano (if you haven't already) and any needed plugins:
# Install meltano
uv tool install meltano
# Initialize meltano within this directory
cd tap-spreadsheets
meltano install
Now you can test and orchestrate using Meltano:
# Test invocation:
meltano invoke tap-spreadsheets --version
# OR run a test ELT pipeline:
meltano run tap-spreadsheets target-jsonl
SDK Dev Guide
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.
Metadata
Release files for tap-spreadsheets 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| tap_spreadsheets-1.1.2.tar.gz | 220.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tap_spreadsheets-1.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 235.9 kB
Release files / tap_spreadsheets-1.1.2.tar.gz
| Download URL | tap_spreadsheets-1.1.2.tar.gz |
|---|---|
| Size | 220.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ee1530963cbcefe16bc2413aa7674f46e2f631e29e2bdbf3a4fce04ba804ac1b
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Signed by GitHub Actions, verified by PyPI on Dec 30, 2025.
Transparency logRelease files / tap_spreadsheets-1.1.2-py3-none-any.whl
| Download URL | tap_spreadsheets-1.1.2-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
78cfc152e316386ae545c85bd64142b4f917675349ba6dfc91d336414bb0728d
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 30, 2025.
Transparency logSecurity for tap-spreadsheets 1.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for tap_spreadsheets-1.1.2.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 30, 2025.
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