AI Answer Scraper

curl -X POST \
  "https://api.apify.com/v2/acts/wrenfield-data~ai-answer-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"prompts": ["What is the best CRM for a small business?"], "engines": ["chatgpt", "perplexity"], "country": "United States", "language": "English"}'

# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("wrenfield-data/ai-answer-scraper").call(
    run_input={
    "prompts": [
        "What is the best CRM for a small business?"
    ],
    "engines": [
        "chatgpt",
        "perplexity"
    ],
    "country": "United States",
    "language": "English"
},
    max_total_charge_usd=1.00,  # hard cap for this run
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

// npm i apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('wrenfield-data/ai-answer-scraper').call({
  "prompts": [
    "What is the best CRM for a small business?"
  ],
  "engines": [
    "chatgpt",
    "perplexity"
  ],
  "country": "United States",
  "language": "English"
}, { maxTotalChargeUsd: 1 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

{
  "mcpServers": {
    "wrenfield-ai-answer-scraper": {
      "url": "https://mcp.apify.com?tools=wrenfield-data/ai-answer-scraper"
    }
  }
}

Remote MCP server hosted by Apify. Sign in with OAuth on first use, or send Authorization: Bearer <APIFY_TOKEN>. The tool appears as wrenfield-data--ai-answer-scraper. More client setups on the MCP page.

Use the official Apify node or app, pick Run Actor, enter wrenfield-data/ai-answer-scraper and paste the input JSON above. Then read the run's dataset items. Ready-made n8n workflows are on the n8n templates page.