# Lowes Reviews Spider (`getdataforme/lowes-reviews-spider`) Actor Efficiently scrape and extract detailed customer reviews from Lowe's product pages for market research, competitive analysis, and sentiment insights.... - **URL**: https://apify.com/getdataforme/lowes-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, AI - **Features:** Limited permissions - **Stats:** 27 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $8.00 / 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? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Lowes Reviews Spider The Lowes Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Lowe's product pages efficiently and reliably. It enables users to gather detailed review data, including ratings, text, and metadata, for market research, competitive analysis, and more. By leveraging Scrapy, this Actor ensures high-speed data collection while respecting website policies. ### Features - **Comprehensive Review Extraction**: Captures full review details such as titles, text, ratings, submission times, and user information from Lowe's product pages. - **Flexible URL Input**: Supports multiple product URLs in a single run, allowing batch processing of reviews. - **Configurable Item Limits**: Set custom limits on the number of reviews to extract, optimizing for performance and data needs. - **High Reliability**: Built with Scrapy for robust scraping, handling dynamic content and potential anti-bot measures. - **Structured JSON Output**: Delivers clean, machine-readable data ideal for integration with analytics tools or databases. - **Verified Data Quality**: Includes flags for verified purchasers and incentivized reviews to ensure authenticity. - **Fast Execution**: Processes reviews quickly, suitable for large-scale data collection without excessive resource use. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | No | A list of Lowe's product page URLs from which to scrape reviews. Each URL should point to a specific product page. | \["https://www.lowes.com/pd/Midea-Midea-18-4-cu-ft-French-Door-Bottom-Freezer-in-Stainless-Steel/5015660303"] | | ItemLimit | integer| No | The maximum number of reviews to extract per URL. Set to 0 for no limit. | 20 | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.lowes.com/pd/Midea-Midea-18-4-cu-ft-French-Door-Bottom-Freezer-in-Stainless-Steel/5015660303" ], "ItemLimit": 20 } ``` #### Output JSON ```json [ { "productId": "5015660303", "REview_id": "37c6b33c-1cd9-5444-b864-601a2a2e9f3c", "title": "As always Loews is great with customer service.", "reviewText": "All in all a great appliance. Door handles would have made it perfect.", "rating": 5, "submissionTime": "2026-01-17T22:54:59.000Z", "userNickname": "Ozzie", "isRecommended": true, "verifiedPurchaser": true, "incentivizedReview": false, "photos": null, "url": "https://www.lowes.com/pd/Midea-Midea-18-4-cu-ft-French-Door-Bottom-Freezer-in-Stainless-Steel/5015660303" }, { "productId": "5015660303", "REview_id": "f4eb4742-a578-5ea1-993b-3270ee2eac7f", "title": null, "reviewText": null, "rating": 4, "submissionTime": "2026-01-14T22:46:16.000Z", "userNickname": null, "isRecommended": null, "verifiedPurchaser": true, "incentivizedReview": false, "photos": null, "url": "https://www.lowes.com/pd/Midea-Midea-18-4-cu-ft-French-Door-Bottom-Freezer-in-Stainless-Steel/5015660303" }, { "productId": "5015660303", "REview_id": "6922ef3e-30cf-5cb9-a131-5e779ee87baf", "title": "One week in and happy so far", "reviewText": "The refrigerator/freezer looks to be well built. It runs quietly and has quite a bit of room, being 18.4 cu ft. Hopefully it will last for a long while.", "rating": 5, "submissionTime": "2026-01-14T03:33:57.000Z", "userNickname": "Dave", "isRecommended": true, "verifiedPurchaser": false, "incentivizedReview": false, "photos": null, "url": "https://www.lowes.com/pd/Midea-Midea-18-4-cu-ft-French-Door-Bottom-Freezer-in-Stainless-Steel/5015660303" } ] ``` ### Use Cases - **Market Research**: Analyze customer sentiment and trends for Lowe's products to inform product development. - **Competitive Intelligence**: Compare reviews across similar products to benchmark performance. - **Price Monitoring**: Track review data alongside pricing for dynamic e-commerce strategies. - **Content Aggregation**: Build datasets for sentiment analysis or NLP projects. - **Academic Research**: Study consumer behavior in home improvement sectors. - **Business Automation**: Automate review monitoring for quality control in retail operations. ### Installation and Usage 1. Search for "Lowes 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 Actor outputs an array of JSON objects, each representing a single review. Key fields include `productId` (unique product identifier), `REview_id` (unique review ID), `title` and `reviewText` (review content), `rating` (numerical score), `submissionTime` (ISO timestamp), `userNickname` (reviewer name), `isRecommended` (boolean for recommendation), `verifiedPurchaser` (purchase verification), `incentivizedReview` (incentive flag), `photos` (image URLs if available), and `url` (source product page). Null values indicate missing data. ### 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. ## `ItemLimit` (type: `integer`): The item limit for the spider. ## Actor input object example ```json { "Urls": [ "https://www.lowes.com/pd/Midea-Midea-18-4-cu-ft-French-Door-Bottom-Freezer-in-Stainless-Steel/5015660303" ], "ItemLimit": 20 } ``` # 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 '' 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/lowes-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/lowes-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/lowes-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/lowes-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/xssvJEuQfk3yXiB9M/builds/pWLvApfWzcszB291z/openapi.json