# Oral Reviews Scraper (`getdataforme/oral-reviews-scraper`) Actor Extract authentic customer reviews from oral care sites like Crest with this Apify Actor. It captures ratings, text, authors, dates, and metadata using proxies for reliable scraping.... - **URL**: https://apify.com/getdataforme/oral-reviews-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Oral Reviews Scraper ### Introduction The Oral Reviews Scraper is a powerful Apify Actor designed to extract detailed product reviews from oral care websites, such as Crest. It automates the collection of authentic customer feedback, ratings, and metadata, enabling businesses and researchers to gain valuable insights into product performance and consumer sentiment. By leveraging advanced web scraping techniques, this tool ensures reliable data extraction while respecting website terms of service. ### Features - **Comprehensive Review Extraction**: Captures full review details including titles, text, ratings, authors, dates, and metadata like helpfulness votes and media attachments. - **Flexible URL Handling**: Supports multiple start URLs for batch scraping of different products or pages. - **Proxy Integration**: Uses residential proxies to avoid IP blocks and ensure uninterrupted crawling. - **Scalable Crawling**: Configurable request limits to manage crawl depth and prevent overloading target sites. - **High-Quality Data**: Extracts structured JSON data with fields for easy analysis, including moderation status and incentivized review flags. - **Error-Resilient**: Built on CheerioCrawler for fast, lightweight scraping with built-in retry mechanisms. - **Apify Platform Ready**: Seamlessly integrates with Apify's ecosystem for scheduling, monitoring, and data export. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | URLs to start the scraping process. Each URL should point to a product page with reviews. | `[{"url": "https://crest.com/en-us/oral-care-products/toothpaste/crest-clean-breath-spearmint"}]` | | maxRequestsPerCrawl | integer | No | Maximum number of requests the crawler can make. Helps control the scope and avoid rate limits. Default is 10. | `50` | | proxyConfiguration | object | No | Configures proxy servers to mask the scraper's origin. Defaults to using Apify's residential proxies. | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` | ### Example Usage #### Input JSON ```json { "startUrls": [ { "url": "https://crest.com/en-us/oral-care-products/toothpaste/crest-clean-breath-spearmint" } ], "maxRequestsPerCrawl": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Output JSON ```json [ { "productUrl": "https://crest.com/en-us/oral-care-products/toothpaste/crest-clean-breath-spearmint", "productId": "Crest_CleanBreath_Spearmint_Toothpaste", "productName": "Crest Toothpaste Clean Breath Spearmint", "reviewId": "298216004", "title": "Fresh, Clean Feeling That Lasts", "text": "I\u2019ve been really impressed with Crest Clean Breath Peppermint toothpaste. It leaves my mouth feeling incredibly clean and refreshed, with a cool peppermint flavor that isn\u2019t overpowering. My breath stays fresh for hours, even in the morning, and it doesn\u2019t have that harsh burn some \u201cbreath\u201d toothpastes do. I also like that it focuses on neutralizing bad breath rather than just masking it. Great everyday toothpaste if you want a long-lasting fresh feeling and a clean mouth.", "rating": 5, "author": "crystalw52_9651", "date": "2026-01-25T20:23:15.000+00:00", "lastModifiedTime": "2026-01-25T20:45:05.000+00:00", "isFeatured": false, "isRecommended": null, "helpful": 0, "notHelpful": 0, "totalFeedback": 0, "helpfulness": 0, "incentivizedReview": true, "hasMedia": true, "mediaCount": 2, "moderationStatus": "APPROVED", "userLocation": null, "pros": null, "cons": null } ] ``` ### Use Cases - **Market Research and Analysis**: Gather consumer feedback to identify trends in oral care preferences and product strengths. - **Competitive Intelligence**: Compare reviews across similar products to benchmark performance and uncover gaps. - **Price Monitoring**: Analyze sentiment alongside pricing data to optimize product positioning. - **Content Aggregation**: Collect reviews for content creation, such as blog posts or social media campaigns. - **Academic Research**: Study consumer behavior in oral health products for studies or theses. - **Business Automation**: Automate review monitoring for quality control and customer service improvements. ### Installation and Usage 1. Search for "Oral Reviews Scraper" 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 data in JSON format as an array of review objects. Each object includes fields like `productUrl`, `productName`, `reviewId`, `title`, `text`, `rating` (1-5 scale), `author`, `date`, `helpful` votes, `incentivizedReview` flag, and `moderationStatus`. Additional metadata such as media presence and user location is included where available, ensuring comprehensive and structured data for analysis. ### 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! *** ### PART 2: Generate Description (Max 250 words) Unlock deep insights into oral care products with the Oral Reviews Scraper, an Apify Actor that effortlessly extracts authentic customer reviews from sites like Crest. Key features include comprehensive review data capture with ratings, text, and metadata; flexible URL support for multiple products; and residential proxy integration for reliable, undetected scraping. Ideal for market research, competitive analysis, and sentiment tracking, this tool empowers businesses to make data-driven decisions. Start scraping today and elevate your oral care intelligenceโ€”try it free on Apify! (98 words) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "startUrls": [ { "url": "https://crest.com/en-us/oral-care-products/toothpaste/crest-clean-breath-spearmint" } ], "maxRequestsPerCrawl": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "startUrls": [ { "url": "https://crest.com/en-us/oral-care-products/toothpaste/crest-clean-breath-spearmint" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/oral-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "startUrls": [{ "url": "https://crest.com/en-us/oral-care-products/toothpaste/crest-clean-breath-spearmint" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/oral-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://crest.com/en-us/oral-care-products/toothpaste/crest-clean-breath-spearmint" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/oral-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/oral-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Oral Reviews Scraper", "description": "Extract authentic customer reviews from oral care sites like Crest with this Apify Actor. It captures ratings, text, authors, dates, and metadata using proxies for reliable scraping....", "version": "0.0", "x-build-id": "7h96AxVUO9Ipv66ir" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~oral-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-oral-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~oral-reviews-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-oral-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~oral-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-oral-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```