Lang & Schwarz Trade Republic Scraper (www.ls-tc.de) avatar
Lang & Schwarz Trade Republic Scraper (www.ls-tc.de)

Under maintenance

Pricing

$24.99/month + usage

Go to Store
Lang & Schwarz Trade Republic Scraper (www.ls-tc.de)

Lang & Schwarz Trade Republic Scraper (www.ls-tc.de)

Under maintenance

Developed by

Anbusch Web Solutions GbR

Anbusch Web Solutions GbR

Maintained by Community

Official Lang & Schwarz Trade Republic Scraper (www.ls-tc.de) is a powerful tool designed to extract public securities data, stock quotes and data for a given stock ticker. Get closing quote of each stock pick dating back to 1992. Important for Legal reasons.

0.0 (0)

Pricing

$24.99/month + usage

2

Total users

4

Monthly users

1

Runs succeeded

>99%

Last modified

3 months ago

You can access the Lang & Schwarz Trade Republic Scraper (www.ls-tc.de) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=anbusch/lang-schwarz"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Lang & Schwarz Trade Republic Scraper (www.ls-tc.de) via Model Context Protocol (MCP) server

MCP server lets you use Lang & Schwarz Trade Republic Scraper (www.ls-tc.de) within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Lang & Schwarz Trade Republic Scraper (www.ls-tc.de) Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {},
$ "name": "anbusch/lang-schwarz"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Lang & Schwarz Trade Republic Scraper (www.ls-tc.de)

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"anbusch/lang-schwarz"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.