Sears Reviews Scraper

Name: Sears Reviews Scraper
Author: muhammetakkurtt

by muhammetakkurtt

This Apify actor automatically collects customer reviews from Sears product pages. By entering the product URL, it obtains detailed review data such a...

417 runs

5 users

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Opens on Apify.com

About Sears Reviews Scraper

This Apify actor automatically collects customer reviews from Sears product pages. By entering the product URL, it obtains detailed review data such as title, comment, rating, user information and number of upvotes. The collected data is stored in a structured format in the Apify data store.

What does this actor do?

Sears Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

Cloud-based execution - no local setup required
Scalable infrastructure for large-scale operations
API access for integration with your applications
Built-in proxy rotation and anti-blocking measures
Scheduled runs and webhooks for automation

How to Use

Click "Try This Actor" to open it on Apify
Create a free Apify account if you don't have one
Configure the input parameters as needed
Run the actor and download your results

Documentation

# Sears Product Review Scraper This project is an Apify actor designed to scrape product reviews from Sears. It collects detailed information about product reviews, including ratings, comments, and reviewer details. ## Features - Fetches review data from specific Sears product URLs. - Collects information such as review ID, headline, comments, rating, and reviewer details. - Provides detailed data on review creation and update dates. - Offers information on review helpfulness and verification status. - Saves the collected data to the Apify dataset. ## Usage 1. Run this actor in the Apify console. 2. Provide the desired input: - productUrl: The Sears product URL you want to collect reviews from. ### Example Input json { "productUrl": "https://www.sears.com/samsung-ww25b6900aw-a2-2.5-cu-ft-compact-front-load/p-A119240811" } ## Output The collected data is saved to the Apify dataset. The output data includes the following fields: - review_id: Unique identifier for the review - headline: Review title - comments: Full text of the review - rating: Product rating given by the reviewer - nickname: Reviewer's nickname - location: Reviewer's location - created_date: Date when the review was created - updated_date: Date when the review was last updated - is_verified_buyer: Whether the reviewer is a verified buyer - helpful_votes: Number of helpful votes for the review - not_helpful_votes: Number of not helpful votes for the review - helpful_score: Overall helpfulness score of the review - brand_name: Name of the product brand - brand_url: URL of the brand's page - product_page_id: Identifier for the product page ## Example Output json { "review_id": 516359579, "headline": "See above! It's not what I expected from Samsung!", "comments": "I bought this compact Samsung Washer @ 26 March 2024 . The clothes Washer is extremely loud, vibrates, and sounds like a 1970 Diesel engine. I'm disappointed and will ask for a refund or a motor that doesn't rock the home. \n\n2.5 cu. ft. Compact Front Load Washer in White with AI Smart Dial and Super Speed Wash\nItem #: 320703807 | Model #: WW25B6900AW | ENERGY STAR Most Efficient", "rating": 2, "nickname": "JD Reiviewer", "location": "Bradenton, Fl", "created_date": "2024-04-04 02:27:31", "updated_date": "2024-09-19 05:13:45", "is_verified_buyer": false, "helpful_votes": 1, "not_helpful_votes": 1, "helpful_score": 2733, "brand_name": "Samsung - BV", "brand_url": "https://www.samsung.com", "product_page_id": "A119240811" } This example output shows the structured data of a single review. The actual output will be a list of similar objects for all reviews of the specified product. ## Notes - The collected data is stored in Apify’s default data store.