# Experience Reviews Spider (`getdataforme/experience-reviews-spider`) Actor

Experience Reviews Spider automates scraping detailed reviews from Experience.com profiles, extracting text, ratings, and metadata for actionable insights. Key features include proxy integration for undetected access, flexible URL batching, item limits, and reliable JSON output....

- **URL**: https://apify.com/getdataforme/experience-reviews-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Agents, Developer tools
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$15.00 / 1,000 results

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

## Experience Reviews Spider

### Introduction

The Experience Reviews Spider is a powerful Apify Actor designed to scrape and extract detailed reviews from Experience.com profiles. It automates the collection of customer feedback, ratings, and associated metadata, enabling businesses and researchers to gain valuable insights into public perceptions. By leveraging robust scraping techniques, this Actor delivers high-quality, structured data efficiently, saving time and effort in manual data gathering.

### Features

- **Comprehensive Review Extraction**: Captures full review text, ratings, reviewer details, dates, and source information from Experience.com.
- **Flexible URL Input**: Supports multiple profile URLs for batch processing, allowing scalable data collection.
- **Proxy Integration**: Utilizes residential proxies to bypass restrictions and ensure reliable, undetected scraping.
- **Item Limiting**: Configurable limits to control the volume of extracted data, preventing overload and optimizing costs.
- **Structured JSON Output**: Produces clean, machine-readable data with unique identifiers for easy integration into databases or analytics tools.
- **High Reliability**: Built with error-handling mechanisms to manage dynamic web changes and ensure consistent performance.
- **Fast Processing**: Optimized for speed, processing reviews quickly while maintaining data accuracy.

### Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| Urls | array | No | List of Experience.com profile URLs to scrape reviews from. | \["https://www.experience.com/reviews/MsOceanside"] |
| proxyConfiguration | object | No | Configures proxy settings for hiding the scraper's origin, using Apify's residential proxies by default. | {"useApifyProxy": true, "apifyProxyGroups": \["RESIDENTIAL"]} |
| itemLimit | integer | No | Maximum number of review items to process and output. | 10 |

### Example Usage

To run the Actor, provide input parameters in JSON format. Here's an example input:

```json
{
  "Urls": ["https://www.experience.com/reviews/MsOceanside"],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "itemLimit": 10
}
```

The Actor will output a JSON array of review objects. Example output:

```json
[
  {
    "uuid": "3e944f2f-fa83-4cb0-87e8-361e34d298ce",
    "review_detail_id": 10635711,
    "review_text": "Melissa is who you want if you\u2019re looking in the San Diego area!! Greatful to be her referral partner",
    "rating": 5,
    "reviewer_first_name": "Makayla M",
    "reviewer_last_name": " ",
    "review_date": "Wed Dec 31 2025 21:58:30 GMT+0000 (Coordinated Universal Time)",
    "source_name": "google",
    "source_label": "Google",
    "is_pinned": false,
    "pinned_at": "",
    "replies": [
      "Owner: Thank you so much, Makayla, for the kind words and partnership! I\u2019m truly grateful to have you as a referral partner and appreciate your trust. If you ever need anything for clients looking in the San Diego area, please don\u2019t hesitate to reach out anytime. I\u2019m always happy to help!\n (Thu Jan 01 2026 04:37:13 GMT+0000 (Coordinated Universal Time))"
    ],
    "review_origin_link": "https://search.google.com/local/writereview?placeid=ChIJN4MIFu3524ARXPNi_MQ9r9U",
    "belongs_to_slug": "MsOceanside",
    "belongs_to_name": "Ms. Oceanside Real Estate"
  },
  {
    "uuid": "713caf57-a93b-4ef9-9118-9c7435aaf764",
    "review_detail_id": 10406848,
    "review_text": "Melissa helped me sell my father\u2019s condo in San Diego through a sometimes challenging process. What I appreciated most was her persistence and her commitment to getting the sale done, even with several obstacles along the way. She stayed on top of the details, communicated frequently, and ultimately succeeded in selling the property while I was out of town. I\u2019m grateful for her hard work and determination throughout the process.",
    "rating": 5,
    "reviewer_first_name": "Fausto",
    "reviewer_last_name": "I",
    "review_date": "Sun Nov 30 2025 01:22:50 GMT+0000 (Coordinated Universal Time)",
    "source_name": "write_review_unverified",
    "source_label": "Experience",
    "is_pinned": false,
    "pinned_at": "",
    "replies": [],
    "review_origin_link": null,
    "belongs_to_slug": "MsOceanside",
    "belongs_to_name": "Ms. Oceanside Real Estate"
  },
  {
    "uuid": "95927976-6fc8-4f60-ae8e-47f3fe467a58",
    "review_detail_id": 10407099,
    "review_text": "Melissa helped me sell my father\u2019s condo in San Diego through a sometimes challenging process. What I appreciated most was her persistence and her commitment to getting the sale done, even with several obstacles along the way. She stayed on top of the details, communicated frequently, and ultimately succeeded in selling the property while I was out of town. I\u2019m grateful for her hard work and determination throughout the process.",
    "rating": 5,
    "reviewer_first_name": "Fausto I",
    "reviewer_last_name": " ",
    "review_date": "Sun Nov 30 2025 01:22:16 GMT+0000 (Coordinated Universal Time)",
    "source_name": "google",
    "source_label": "Google",
    "is_pinned": false,
    "pinned_at": "",
    "replies": [
      "Owner: Hi Fausto, thank you for the review it was a process that we were able to conquer. Thanks for the trust in me.   (Sun Nov 30 2025 01:40:41 GMT+0000 (Coordinated Universal Time))"
    ],
    "review_origin_link": "https://search.google.com/local/writereview?placeid=ChIJN4MIFu3524ARXPNi_MQ9r9U",
    "belongs_to_slug": "MsOceanside",
    "belongs_to_name": "Ms. Oceanside Real Estate"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather customer feedback to analyze trends and sentiment in specific industries.
- **Competitive Intelligence**: Monitor reviews of competitors to identify strengths, weaknesses, and market positioning.
- **Reputation Management**: Track and respond to reviews for businesses to maintain a positive online presence.
- **Content Aggregation**: Collect reviews for content creation, such as blog posts or reports on consumer experiences.
- **Academic Research**: Extract data for studies on customer behavior, satisfaction, and review authenticity.
- **Business Automation**: Automate data collection for dashboards or CRM systems to inform decision-making.

### Installation and Usage

1. Search for "Experience Reviews Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

### Output Format

The output is a JSON array of objects, each representing a single review. Key fields include:

- `uuid`: Unique identifier for the review.
- `review_detail_id`: Internal ID from the source.
- `review_text`: Full text of the review.
- `rating`: Numerical rating (e.g., 1-5).
- `reviewer_first_name` and `reviewer_last_name`: Reviewer's name details.
- `review_date`: Timestamp of the review in GMT.
- `source_name` and `source_label`: Origin of the review (e.g., Google).
- `is_pinned` and `pinned_at`: Indicates if the review is pinned and when.
- `replies`: Array of owner responses, if any.
- `review_origin_link`: URL to the original review source.
- `belongs_to_slug` and `belongs_to_name`: Profile identifier and name.

This structured format ensures easy parsing and integration.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

## Actor input object example

```json
{
  "Urls": [
    "https://www.experience.com/reviews/MsOceanside"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "itemLimit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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 = {
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    },
    "itemLimit": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/experience-reviews-spider").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 = {
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
    "itemLimit": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/experience-reviews-spider").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 '{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "itemLimit": 10
}' |
apify call getdataforme/experience-reviews-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/experience-reviews-spider"
        }
    }
}

```

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/38rYjveNh3mOEn6nd/builds/TG7d39hMXXuhGGxGk/openapi.json