Competitor-Based Keyword Recommendations for On-Page SEO
Pricing
Pay per event
Competitor-Based Keyword Recommendations for On-Page SEO
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.
0.0 (0)
Pricing
Pay per event
0
Monthly users
9
Runs succeeded
>99%
Last modified
23 days 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=antonio_espresso/keyword-competitor-recommendation"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 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.
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 "keyword": "seo check",
8 "language": "English",
9 "google_engine": "google.com"
10},
11 "name": "antonio_espresso/keyword-competitor-recommendation"
12 }
13}'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 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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "antonio_espresso/keyword-competitor-recommendation"
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.
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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Keyword Recommendation Complete
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