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Competitor-Based Keyword Recommendations for On-Page SEO

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Competitor-Based Keyword Recommendations for On-Page SEO

Competitor-Based Keyword Recommendations for On-Page SEO

Developed by

Antonio Blago

Antonio Blago

Maintained by Community

This actor takes a keyword, language, and Google engine, then returns structured SEO insights: ideal word count, title/content terms with usage ranges, relevant questions (H1–H3, PAA), and competitor data including URLs, rankings, titles, and content scores.

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Pricing

Pay per event

0

Total users

15

Monthly users

11

Runs succeeded

>99%

Last modified

a month ago

You can access the Competitor-Based Keyword Recommendations for On-Page SEO 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=antonio_espresso/keyword-competitor-recommendation"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Competitor-Based Keyword Recommendations for On-Page SEO via Model Context Protocol (MCP) server

MCP server lets you use Competitor-Based Keyword Recommendations for On-Page SEO 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 Competitor-Based Keyword Recommendations for On-Page SEO 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": {
$ "keyword": "seo check",
$ "language": "English",
$ "google_engine": "google.com"
$},
$ "name": "antonio_espresso/keyword-competitor-recommendation"
$ }
$}'

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 Competitor-Based Keyword Recommendations for On-Page SEO

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",
"antonio_espresso/keyword-competitor-recommendation"
],
"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.