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tap-spreadsheets

tap-spreadsheets is a Singer tap for spreadsheets.

Built with the Meltano Tap SDK for Singer Taps.

Capabilities

  • catalog
  • state
  • discover
  • activate-version
  • about
  • stream-maps
  • schema-flattening
  • batch

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_KEY access key/secret pair
  • S3_ENDPOINT_URL Custom 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.

About

tap for spreadsheets (e.g. excel, csv)

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