@ejazullah/smart-browser-automation
Version:
A smart AI-driven browser automation library and REST API server using MCP (Model Context Protocol) and LangChain for multi-step task execution. Includes both programmatic library usage and HTTP API server for remote automation.
22 lines • 836 B
JavaScript
/**
* @file Alternative entry point for Cheerio that always uses htmlparser2. This
* way, parse5 won't be loaded, saving some memory.
*/
import { getLoad } from './load.js';
import { getParse } from './parse.js';
import render from 'dom-serializer';
import { parseDocument } from 'htmlparser2';
export { contains, merge } from './static.js';
/**
* Create a querying function, bound to a document created from the provided
* markup.
*
* @param content - Markup to be loaded.
* @param options - Options for the created instance.
* @param isDocument - Always `false` here, as we are always using
* `htmlparser2`.
* @returns The loaded document.
* @see {@link https://cheerio.js.org#loading} for additional usage information.
*/
export const load = getLoad(getParse(parseDocument), render);
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