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

As a non-standard command, the exact synopsis for sfdk-scrape would vary based on its specific implementation. However, a typical syntax for a data scraping utility might look like this:

sfdk-scrape [OPTIONS] <TARGET>

<TARGET>: The source from which to scrape data, such as a URL, an API endpoint, a file path, or an identifier for a specific system/resource.
[OPTIONS]: Optional flags or arguments to control the scraping process, output format, authentication, or other behaviors.

--output <FILE> or -o <FILE>
    Specifies the path to an output file where the scraped data should be saved.

--format <FORMAT> or -f <FORMAT>
    Defines the desired output format for the extracted data (e.g., json, csv, xml, plain).

--verbose or -v
    Enables verbose output, showing more details about the scraping process, progress, or errors.

--authenticate <CREDENTIALS>
    Provides authentication details (e.g., API keys, tokens, username/password) required to access the target source.

--selector <EXPRESSION>
    Specifies a CSS selector, XPath expression, or similar pattern to identify and extract specific data elements from the target.

--limit <NUMBER>
    Sets a limit on the number of items or records to scrape.

--depth <NUMBER>
    For targets with nested content (like websites with links), defines the maximum depth to follow links for scraping.

The command sfdk-scrape is not a standard Linux utility but rather appears to be a custom script or application designed for data extraction, commonly known as 'scraping'.

The 'sfdk' prefix likely indicates a specific domain, system, or development kit from which data is intended to be scraped. This could refer to a proprietary system, a specific API, or even a custom internal framework (e.g., Salesforce Development Kit, although 'sfdx' is the more common abbreviation for Salesforce CLI).

Its primary function would be to connect to a specified data source (e.g., a website, an API endpoint, a database), parse the content, extract relevant information based on predefined rules or patterns, and then output that data in a structured format (e.g., CSV, JSON, XML). The exact capabilities and behavior of sfdk-scrape would depend entirely on its implementation by the developers who created it.

It is crucial to understand that sfdk-scrape is not a standard Linux command distributed with operating systems. It is most likely a custom script, application, or internal tool. Therefore:

Availability: It will only be available on systems where it has been specifically installed or developed.
Functionality: Its exact behavior, options, and arguments depend entirely on how it was programmed. The information provided here is based on common patterns for data scraping tools and should be considered illustrative rather than definitive.
Legality/Ethics: Data scraping can have legal and ethical implications. Always ensure you have permission from the data source owner and comply with their terms of service, robots.txt, and applicable laws (e.g., GDPR, CCPA) before scraping data.
Security: Running unknown scripts can pose security risks. Always ensure the source of sfdk-scrape is trusted before executing it.

Given its name, sfdk-scrape could be used for:
Automating data collection from web pages or APIs.
Monitoring changes on specific online resources.
Collecting public data for analysis or research.
Migrating data from legacy systems or external services.
Populating internal databases with external information.

A custom scraping tool like sfdk-scrape would typically be implemented using programming languages popular for scripting and web interactions, such as Python (with libraries like Requests, BeautifulSoup, Scrapy), Node.js (with Cheerio, Puppeteer), Ruby, or Go. It would need to handle aspects like HTTP requests, HTML/JSON parsing, error handling, rate limiting, and potentially CAPTCHAs or JavaScript rendering.

As a non-standard, likely custom command, sfdk-scrape does not have a public or widely documented history. Its development and usage history would be specific to the project, organization, or individual who created and maintains it. It would have originated to fulfill a specific data extraction need within that particular context.

curl(1), wget(1), grep(1), awk(1), sed(1), jq(1), xmlstarlet(1), python(1) (commonly used for web scraping libraries like BeautifulSoup, Scrapy)