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Portland Leather Goods Scraper

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Developed by

Mark Carter

Scrape Portland Leather Goods and extract data on clothing accessories from portlandleathergoods.com. Our Portland Leather Goods API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

3 years ago

E-commerce

Open source

You can access the Portland Leather Goods Scraper 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=mshopik/portland-leather-goods-scraper"

# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Portland Leather Goods Scraper via Model Context Protocol (MCP) server

MCP server lets you use Portland Leather Goods Scraper 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 Portland Leather Goods Scraper 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": {
$      "maxRequestsPerCrawl": 20,
$      "extendOutputFunction": "async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {\\n  return item;\\n}",
$      "extendScraperFunction": "async ({ fns, customData, Apify, label }) => {\\n \\n}",
$      "customData": {},
$      "maxConcurrency": 20,
$      "maxRequestRetries": 3
$},
$    "name": "mshopik/portland-leather-goods-scraper"
$  }
$}'

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 Portland Leather Goods Scraper

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",
        "mshopik/portland-leather-goods-scraper"
      ],
      "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.

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