# Bouncefresh Parser Spider (`getdataforme/bouncefresh-parser-spider`) Actor The Bouncefresh Parser Spider is an Apify Actor that automates scraping detailed product reviews from Bouncefresh websites, capturing ratings, text, photos, videos, and metadata.... - **URL**: https://apify.com/getdataforme/bouncefresh-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Developer tools - **Stats:** 1 total users, 0 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/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 ## Bouncefresh Parser Spider ### Introduction The Bouncefresh Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product reviews from Bouncefresh websites. It automates the collection of user-generated content, including ratings, reviews, and associated metadata, enabling businesses and researchers to gather valuable insights efficiently. By leveraging advanced web scraping techniques, this Actor ensures reliable data extraction while minimizing manual effort and errors. ### Features - **Comprehensive Review Extraction**: Captures full review details such as titles, text, ratings, submission times, and user nicknames. - **Multimedia Support**: Includes photos and videos attached to reviews, with multiple size options for images. - **Syndication Source Tracking**: Identifies the origin of reviews, including client IDs and source names for better context. - **Flexible Input Handling**: Accepts multiple URLs for batch processing, supporting various Bouncefresh product pages. - **High-Performance Scraping**: Optimized for speed and reliability, handling large volumes of data without compromising quality. - **Structured JSON Output**: Delivers clean, machine-readable data perfect for integration with analytics tools or databases. - **Error-Resilient Design**: Built-in handling for common web scraping challenges like rate limits and dynamic content. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|----------|----------|-----------------------------------------------------------------------------|---------| | Urls | array | Yes | An array of URLs pointing to Bouncefresh product pages to scrape reviews from. Must be valid HTTP/HTTPS URLs. | \["https://www.bouncefresh.com/product/123", "https://www.bouncefresh.com/product/456"] | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://www.bouncefresh.com/product/bounce-sheets-outdoor-fresh" ] } ``` #### Example Output ```json [ { "Id": "247425020", "ProductId": "Bounce_Sheets_Outdoor_Fresh", "Title": "They\u2019re a reliable laundry essential that keeps cl", "ReviewText": "They leave my clothes soft, fresh-smelling, and static-free after every wash. The scent is clean and pleasant without being too strong or overpowering.", "Rating": 5, "SubmissionTime": "2026-01-13T01:53:13.000+00:00", "UserNickname": "jennifferc28_3187", "SyndicationSource": { "ClientId": null, "LogoImageUrl": "https://contentorigin.bazaarvoice.com/influenster/default/influenster.png", "ContentLink": null, "Name": "influenster.com" }, "AdditionalFields": {}, "ContextDataValues": {}, "Pros": null, "Cons": null, "Photos": [ { "Sizes": { "normal": { "Id": "normal", "Url": "https://photos-us.bazaarvoice.com/photo/2/cGhvdG86Ym91bmNl/7222f1bd-9980-5412-baa1-8717023dfbb4" }, "thumbnail": { "Id": "thumbnail", "Url": "https://photos-us.bazaarvoice.com/photo/2/cGhvdG86Ym91bmNl/9fa73e7e-767a-5fd7-bc37-17a85d4dbdba" }, "large": { "Id": "large", "Url": "https://photos-us.bazaarvoice.com/photo/2/cGhvdG86Ym91bmNl/14f89b87-9205-5683-bf57-9a827678fc18" } }, "Id": "16033440", "SizesOrder": [ "normal", "thumbnail", "large" ], "Caption": null } ], "Videos": [], "actor_id": "edO00Dx2KER2HRsJC", "run_id": "FnNNe9LVVqogtZLe7" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather consumer feedback to understand product performance and sentiment trends. - **Competitive Intelligence**: Compare reviews across similar products to identify strengths and weaknesses. - **Price Monitoring**: Analyze review data alongside pricing for comprehensive market insights. - **Content Aggregation**: Collect and organize user-generated content for blogs, reports, or social media. - **Academic Research**: Study consumer behavior and preferences in laundry products through real-world data. - **Business Automation**: Automate data collection for dashboards, reports, or machine learning models. ### Installation and Usage 1. Search for "Bouncefresh Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters by providing the list of 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 data in JSON format as an array of review objects. Each object includes fields like `Id` (unique review identifier), `ProductId` (product reference), `Title` and `ReviewText` (content), `Rating` (numerical score), `SubmissionTime` (timestamp), `UserNickname` (reviewer), `SyndicationSource` (origin details), `Photos` (array of image objects with sizes), and `Videos` (array of video data). Additional metadata like `actor_id` and `run_id` are included for tracking. ### 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 {} ``` # 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/bouncefresh-parser-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/bouncefresh-parser-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/bouncefresh-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/bouncefresh-parser-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/edO00Dx2KER2HRsJC/builds/6tEqahh5bccZItqw3/openapi.json