# Experience Profile Reviews Spider (`getdataforme/experience-profile-reviews-spider`) Actor Automate the extraction of detailed reviews from Experience.com profiles to uncover customer insights and manage reputation. Captures ratings, replies, reviewer details, and sources like Google. Features batch processing, fast performance, and clean JSON output—no API keys needed. - **URL**: https://apify.com/getdataforme/experience-profile-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, E-commerce - **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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 Profile Reviews Spider ### Introduction The Experience Profile 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 replies, providing valuable insights into business reputations and customer sentiments. This tool is ideal for businesses, researchers, and analysts seeking to monitor and analyze online reviews efficiently. ### Features - **Comprehensive Review Extraction**: Captures full review details including text, ratings, reviewer information, dates, and source platforms like Google. - **Reply Handling**: Includes business replies to reviews, offering a complete conversation view. - **Flexible URL Input**: Accepts multiple profile URLs for batch processing, enabling large-scale data collection. - **High Reliability**: Built on Python Scrapy for robust web scraping with error resilience. - **Structured JSON Output**: Delivers clean, machine-readable data for easy integration into databases or analytics tools. - **Fast Performance**: Optimized for speed, handling multiple profiles without significant delays. - **No API Keys Required**: Simple setup with no external dependencies or authentication needed. ### 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"] | ### Example Usage #### Input ```json { "Urls": [ "https://www.experience.com/reviews/MsOceanside" ] } ``` #### Output ```json [ { "id": null, "review_detail_id": 10635711, "review": "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": null, "reviewer_full_name": "Makayla M", "city": null, "state": null, "reviewer_image_url": null, "is_image_resized": false, "review_date_raw": "Wed Dec 31 2025 21:58:30 GMT+0000 (Coordinated Universal Time)", "review_date": "2025-12-31T21:58:30+00:00", "source_name": "google", "source_label": "Google", "source_icon": "https://listings.experience.com/app_images/icons/source-icons/google.svg", "source_id": 2, "participant_type": null, "is_pinned": false, "pinned_at": null, "review_label": null, "belongs_to_slug": "MsOceanside", "belongs_to_name": "Ms. Oceanside Real Estate", "is_ranking_score_disabled": false, "review_origin_link": "https://search.google.com/local/writereview?placeid=ChIJN4MIFu3524ARXPNi_MQ9r9U", "replies": [ { "replier": "Owner", "reply": "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!", "reply_date_raw": "Thu Jan 01 2026 04:37:13 GMT+0000 (Coordinated Universal Time)" } ] } ] ``` ### Use Cases - **Market Research and Analysis**: Gather customer feedback to identify trends and improve products or services. - **Competitive Intelligence**: Monitor competitors' reviews to benchmark performance and uncover strengths/weaknesses. - **Reputation Management**: Track online sentiment for proactive response to negative reviews. - **Academic Research**: Collect data for studies on consumer behavior and review platforms. - **Business Automation**: Automate review aggregation for dashboards or reporting tools. - **Content Aggregation**: Build databases of reviews for content creation or SEO analysis. ### Installation and Usage 1. Search for "Experience Profile Reviews Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add profile URLs). 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 Actor outputs a JSON array of review objects. Each object includes fields like `review_detail_id`, `review` (text), `rating` (1-5), reviewer details (`reviewer_full_name`, `city`, `state`), dates (`review_date`), source info (`source_name`, `source_label`), and `replies` (array of business responses with replier, reply text, and date). This structure ensures comprehensive data for analysis, with null values for unavailable fields. ### 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. ## Actor input object example ```json { "Urls": [ "https://www.experience.com/reviews/MsOceanside" ] } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/experience-profile-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/experience-profile-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 '{}' | apify call getdataforme/experience-profile-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/experience-profile-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 ` 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/4rbVpeaZ1w6bFsDHq/builds/ZDe5n9D5potsMkf03/openapi.json