sfdk-scrape

Save source modifications as patches

$ sfdk scrape

$ sfdk scrape [[-n|--dry-run]]

$ sfdk scrape --stable

$ sfdk scrape [[-o|--output-dir]] [directory]

$ sfdk scrape --keep

sfdk-scrape [options] <project_directory>

--metadata <types>
    Specifies the metadata types to scrape (e.g., ApexClass, CustomObject). Can be a comma-separated list.

--output <file_path>
    Specifies the output file path where the scraped data will be written (e.g., output.json, output.csv).

--format <format>
    Specifies the output format (e.g., json, csv, xml).

--query <SOQL-like-query>
    Applies a filter to the scraped data using a SOQL-like query language.

--config <config_file>
    Specifies a configuration file containing scraping rules and settings.

--verbose
    Enables verbose output for debugging.

--help
    Displays help information.

The `sfdk-scrape` command is a hypothetical command-line tool designed for extracting specific data or metadata from a Salesforce DX (SFDX) project. It allows developers to automate the process of gathering information from the project's file structure, configurations, and metadata definitions. This tool could be used for various purposes, such as generating documentation, creating project reports, performing code analysis, or automating deployment tasks. The specific types of data it scrapes depend on the implemented features and configuration. It could process XML metadata files, Apex code, Visualforce pages, Lightning components, and other components of a Salesforce DX project to extract information like object definitions, field names, validation rules, Apex class methods, and more.

The tool would significantly reduce the manual effort involved in examining large or complex SFDX projects, providing developers with a programmatic way to access and process project data. By automating data extraction, developers can improve efficiency and accuracy in many aspects of Salesforce development and administration.

Since `sfdk-scrape` is a hypothetical command, its availability and exact functionality would depend on its actual implementation. Error handling and support for different metadata types may be limited in an early version.

Example 1: Scrape all Apex classes and output to JSON:
`sfdk-scrape --metadata ApexClass --output apex_classes.json --format json ./my_sfdx_project`

Example 2: Scrape all Custom Objects and their fields:
`sfdk-scrape --metadata CustomObject --output custom_objects.json --format json ./my_sfdx_project`

Example 3: Use a config file for advanced scraping options:
`sfdk-scrape --config scrape_config.yaml ./my_sfdx_project`

A YAML configuration file could specify complex scraping rules, allowing for filtering based on metadata attributes and defining custom output transformations. The format varies based on the tool's development.

The `sfdk-scrape` command is conceptual. The need for such a tool arises from the increasing complexity of Salesforce DX projects and the demand for automation in extracting and processing project metadata. Developers often need to analyze metadata, generate documentation, or perform code analysis, which can be time-consuming and error-prone without a dedicated scraping tool. A command line tool like this one may have evolved to simplify data analysis.

grep(1), find(1), xmllint(1), jq(1)