Trustpilot Reviews Scraper

curl -X POST "https://api.apify.com/v2/acts/arcadium~trustpilot-reviews/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["www.bestbuy.com"],"maxReviewsPerCompany":20,"sort":"recency","verified":false,"withReplies":false,"includeCompanyInfo":true,"splitFilters":true,"companySort":"most_relevant","claimedOnly":false,"maxCompaniesPerCategory":20,"onlyNewReviews":false}'

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

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/trustpilot-reviews').call({
  "companies": [
    "www.bestbuy.com"
  ],
  "maxReviewsPerCompany": 20,
  "sort": "recency",
  "verified": false,
  "withReplies": false,
  "includeCompanyInfo": true,
  "splitFilters": true,
  "companySort": "most_relevant",
  "claimedOnly": false,
  "maxCompaniesPerCategory": 20,
  "onlyNewReviews": false
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/trustpilot-reviews").call(run_input={
    "companies": ["www.bestbuy.com"],
    "maxReviewsPerCompany": 20,
    "sort": "recency",
    "verified": False,
    "withReplies": False,
    "includeCompanyInfo": True,
    "splitFilters": True,
    "companySort": "most_relevant",
    "claimedOnly": False,
    "maxCompaniesPerCategory": 20,
    "onlyNewReviews": False,
})
items = client.dataset(run.default_dataset_id).list_items().items  # apify-client 3.x returns a Run object
print(items)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/trustpilot-reviews",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

# pip install langchain-apify   (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("arcadium/trustpilot-reviews")
rows = tool.invoke({"run_input": {
    "companies": ["www.bestbuy.com"],
    "maxReviewsPerCompany": 20,
    "sort": "recency",
    "verified": False,
    "withReplies": False,
    "includeCompanyInfo": True,
    "splitFilters": True,
    "companySort": "most_relevant",
    "claimedOnly": False,
    "maxCompaniesPerCategory": 20,
    "onlyNewReviews": False,
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])

# pip install llama-index-readers-apify
import os
from llama_index.core import Document, VectorStoreIndex
from llama_index.readers.apify import ApifyActor

reader = ApifyActor(os.environ["APIFY_TOKEN"])
documents = reader.load_data(
    actor_id="arcadium/trustpilot-reviews",
    run_input={
        "companies": ["www.bestbuy.com"],
        "maxReviewsPerCompany": 20,
        "sort": "recency",
        "verified": False,
        "withReplies": False,
        "includeCompanyInfo": True,
        "splitFilters": True,
        "companySort": "most_relevant",
        "claimedOnly": False,
        "maxCompaniesPerCategory": 20,
        "onlyNewReviews": False,
    },
    dataset_mapping_function=lambda item: Document(text=str(item.get("text") or ""), metadata={"url": item.get("url")}),
)
index = VectorStoreIndex.from_documents(documents)

# pip install crewai crewai-tools langchain-apify   (reads APIFY_API_TOKEN from the environment)
from crewai import Agent
from crewai_tools import ApifyActorsTool

tool = ApifyActorsTool(actor_name="arcadium/trustpilot-reviews")
researcher = Agent(
    role="Research analyst",
    goal="Answer with data collected by the tool",
    backstory="Uses public web data.",
    tools=[tool],
)

{
  "nodes": [
    {
      "name": "Run arcadium/trustpilot-reviews",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~trustpilot-reviews/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"companies\":[\"www.bestbuy.com\"],\"maxReviewsPerCompany\":20,\"sort\":\"recency\",\"verified\":false,\"withReplies\":false,\"includeCompanyInfo\":true,\"splitFilters\":true,\"companySort\":\"most_relevant\",\"claimedOnly\":false,\"maxCompaniesPerCategory\":20,\"onlyNewReviews\":false}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

// Extensions > Apps Script. Store your token once: Project Settings > Script properties > APIFY_TOKEN.
function importLastRun() {
  const token = PropertiesService.getScriptProperties().getProperty('APIFY_TOKEN');
  const url = 'https://api.apify.com/v2/acts/arcadium~trustpilot-reviews/runs/last/dataset/items?status=SUCCEEDED&clean=true&format=json';
  const res = UrlFetchApp.fetch(url, { headers: { Authorization: 'Bearer ' + token } });
  const rows = JSON.parse(res.getContentText());
  if (!rows.length) return;
  const keys = Object.keys(rows[0]);
  const values = rows.map((r) => keys.map((k) => (typeof r[k] === 'object' ? JSON.stringify(r[k]) : r[k])));
  const sheet = SpreadsheetApp.getActiveSheet();
  sheet.clearContents();
  sheet.getRange(1, 1, 1, keys.length).setValues([keys]);
  sheet.getRange(2, 1, values.length, keys.length).setValues(values);
}