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AI Web Search & Read: Google results as clean Markdown

AI Web Search runs a Google search, fetches the top organic results and returns clean Markdown per result — one call turns a question into LLM-ready context for agents, RAG and MCP.

Run AI Web Search & Read: Google results as clean Markdown on Apify →

Pricing

Apify planPer resultPer 1,000
Free plan$0.005$5
Starter$0.004$4
Scale$0.0035$3.50
Business$0.003$3
Enterprise$0.003$3
Enterprise+$0.003$3

Primary event rates from a catalog snapshot; this is not the total price of a run. Additional charge events and Actor Start fees may apply; start fees can scale with memory. Check the Actor's Pricing tab on Apify for all events, conditions and current plan-specific rates, and set a maximum run budget before starting.

Sample output

No recorded sample is available yet.

Call from code

Use the existing catalog input below as a starting point. Review the tool's input form on Apify before running it.

import json
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("webdatatools/ai-web-search").call(run_input=json.loads("{\n    \"query\": \"what is web scraping\",\n    \"queries\": [\n        \"best crm for startups\"\n    ],\n    \"maxResults\": 3\n}"))

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('webdatatools/ai-web-search').call({
    "query": "what is web scraping",
    "queries": [
        "best crm for startups"
    ],
    "maxResults": 3
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
curl -X POST "https://api.apify.com/v2/acts/webdatatools~ai-web-search/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query":"what is web scraping","queries":["best crm for startups"],"maxResults":3}'

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