# TrustRadius Reviews Scraper + Reviewer LinkedIn/Email | Lens (`cocoa_cherry/lens-trustradius-reviews-scraper`) Actor

Scrape TrustRadius product reviews (by URL or company website). Optional LinkedIn and email enrichment for reviewers — chained enrichment most scrapers lack. Ideal for competitor review mining and buyer intent. Billed via Apify Store (pay per result).

- **URL**: https://apify.com/cocoa\_cherry/lens-trustradius-reviews-scraper.md
- **Developed by:** [Hans Dekker](https://apify.com/cocoa_cherry) (community)
- **Categories:** Lead generation, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## TrustRadius Reviews Scraper + Reviewer LinkedIn/Email | Lens

Scrape TrustRadius product reviews from one URL or up to 1000 URLs in bulk. Optional LinkedIn and email enrichment for reviewers — chained enrichment most scrapers lack. Ideal for competitor review mining and buyer intent. Billed via Apify Store (pay per result).

Scrape TrustRadius product reviews with optional LinkedIn and email enrichment for reviewers.

Apify Store Actor powered by Lens data. Results are pushed to the default dataset. **Billed via Apify** (pay per result) — no Lens account or API key required.

### Inputs

- `url` — single product/category URL or company website
- `urls[]` — bulk (up to 1000; overrides singular). Rows tagged with `source_url`.
- `concurrency` — parallel scrape jobs (default 2)
- `maxPages` — per URL
- optional `findLinkedin`, `findEmail`

### Pricing (Apify PPE)

| Event | When | Price (guide) |
| --- | --- | --- |
| `apify-default-dataset-item` (result) | Each review row | **$0.01** |
| `linkedin-found` | Reviewer LinkedIn present | **$0.03** |
| `email-found` | Reviewer email present | **$0.03** |

Matches Lens: scrape amortized per review; enrich **+3¢ when found** (not when toggled). `find_email` may also populate LinkedIn — both events can fire on the same row.

### Docs

https://docs.lens.ly/api/trustradius

### Local layout

This Actor lives under `marketplace/apify/` and shares helpers from `marketplace/apify/shared/`.
Docker build context is the `marketplace/apify` root (`dockerContextDir` in `.actor/actor.json`).

# Actor input Schema

## `url` (type: `string`):

Single company website or TrustRadius product/category URL. Ignored when Urls (bulk) is set.

## `urls` (type: `array`):

Bulk mode: up to 1000 TrustRadius product/category URLs or company websites (one per row). One scrape job per URL; review rows are tagged with source\_url.

## `concurrency` (type: `integer`):

Parallel scrape jobs during bulk runs (1–20, default 2).

## `maxPages` (type: `integer`):

Max pages per URL

## `findLinkedin` (type: `boolean`):

Find LinkedIn

## `findEmail` (type: `boolean`):

Find email

## Actor input object example

```json
{
  "url": "https://www.trustradius.com/products/celonis/reviews/all",
  "concurrency": 2,
  "maxPages": 1,
  "findLinkedin": false,
  "findEmail": false
}
```

# Actor output Schema

## `results` (type: `string`):

All dataset items pushed by this run.

## `summary` (type: `string`):

JSON summary written to the OUTPUT key.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://www.trustradius.com/products/celonis/reviews/all",
    "maxPages": 1
};

// Run the Actor and wait for it to finish
const run = await client.actor("cocoa_cherry/lens-trustradius-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "url": "https://www.trustradius.com/products/celonis/reviews/all",
    "maxPages": 1,
}

# Run the Actor and wait for it to finish
run = client.actor("cocoa_cherry/lens-trustradius-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "url": "https://www.trustradius.com/products/celonis/reviews/all",
  "maxPages": 1
}' |
apify call cocoa_cherry/lens-trustradius-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cocoa_cherry/lens-trustradius-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/klUmrISNDHfdXAEdj/builds/kl2ai6UGcj10ddp4T/openapi.json