Bulk Address Parser
3 days trial then $14.99/month - No credit card required now
Bulk Address Parser
3 days trial then $14.99/month - No credit card required now
Address Parser is an NLP tool that can parse unstructured address strings into clean and structure address objects.You can also export listings to JSON/CSV or any other as format supported by Apify.
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4 Monthly users
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>99% runs succeeded
Created in Oct 2023
Modified a year ago
You can access the Bulk Address Parser 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=inquisitive_sarangi/bulk-address-parser"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Bulk Address Parser via Model Context Protocol (MCP) server
MCP server lets you use Bulk Address Parser 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 Bulk Address Parser Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "addresses": [
8 "257 Fireweed Ln Ketchikan Alaska 99901 USA"
9 ],
10 "batchSize": 1
11},
12 "name": "inquisitive_sarangi/bulk-address-parser"
13 }
14}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for Bulk Address Parser
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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "inquisitive_sarangi/bulk-address-parser"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}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.
