Brief

With The Fresh Market (a renowned specialty fresh retail platform) booming, are you wasting countless hours manually collecting fresh retail information such as product names, real-time prices, origin details, freshness labels, promotion offers, category classifications, stock statuses, and delivery service scopes? Faced with The Fresh Market’s massive repository of fresh retail content, spanning thousands of fresh products, seasonal promotion sections and regional stock updates, efficiently acquiring structured fresh retail data to accurately track product price fluctuations, optimize procurement plans for catering businesses or enhance cost-saving efficiency for individual shoppers has become a common challenge for many catering procurement professionals, fresh retail analysts, individual consumers, and market research teams. Say goodbye to tedious manual copy-and-paste and page-by-page recording of product details or promotion information. BrowserAct will revolutionize the way you access The Fresh Market’s fresh retail data.

What is BrowserAct E-commerce Data Scraper ?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key fresh retail data from The Fresh Market’s massive repository of product content, including fresh produce listings, real-time pricing, origin information, and seasonal promotion details. What can it do for you?

The Fresh Market Fresh Retail Data Scraping: Our The Fresh Market crawler can intelligently identify and extract core fresh retail data from the platform. This includes product names (e.g., organic apples, grass-fed beef), real-time prices, origin details, freshness labels (e.g., “farm-fresh,” “organic”), promotion offers (e.g., seasonal discounts, bundle deals), category classifications (e.g., fruits, meats, baked goods), stock statuses, and delivery service scopes. It covers all critical information needed to track fresh product dynamics on The Fresh Market.
AI-Powered Field Suggestions: Using AI to intelligently identify the structure of The Fresh Market pages, such as product listing pages, fresh category sections, and seasonal promotion pages, it quickly suggests and extracts key fields like "product name, real-time price, origin, freshness label, promotion offer". No manual positioning is needed, and structured data is generated directly to support efficient analysis.
Ideal Users: Suitable for catering procurement professionals, fresh retail analysts, individual consumers, and market research teams. It helps you obtain structured The Fresh Market fresh retail data to drive decisions—like optimizing catering procurement plans and adjusting fresh product purchasing strategies—or meet practical needs, such as tracking seasonal price changes, comparing product freshness information and saving on fresh shopping.

Features and Workflow Capabilities

Input Parameters for Effective Conecte Imóvel Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

Parameter	Required	Description	Example Value
category_url	Yes	The base URL of the Market site to start scraping from.	https://shop.thefreshmarket.com/store/the-fresh-market/storefront?utm_source=subnav&utm_medium=internal
zip-code	Yes		27106

Step 1: Create Workflow and Set Input Parameters

Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Financial Data Automation").
Define customizable inputs for flexibility:

category_url: https://shop.thefreshmarket.com/store/the-fresh-market/storefront?utm_source=subnav&utm_medium=internal
zip-code: 27106

Step 2: Add Visit Page

enter "Visit /url" to direct the workflow to the specified URL, such as https://shop.thefreshmarket.com/store/the-fresh-market/storefront?utm_source=subnav&utm_medium=internal. BrowserAct's AI will automatically understand the page structure, powering your Forbes web scraper without hassle.

Step 3: Add Input Text

Input Field Position: ZIP input box

Text to input:type "/" to referme parameter

Step 4: Add Click Element

click Start shopping

Step 5: Add Wait

Step 6: Add Click Element

click confirm

Step 7: Add Scroll Page

scroll to Bottom

Step 8: Add "Extract Data"

Date Field

Extract from the first 20 products: Title, Brand, Current Price, Original Price, Star Rating, Review Count, Product URL, Prime Status, Deal Badges.

Step 9: Add Output

Choose Json as the output format and enable "Output as a file" for easy downloading.

example

[
{
"title": "Walker's Season's Greetings Shortbread Fingers 8.8 oz",
"brand": "Walker's",
"current_price": 20.99,
"original_price": 24.69,
"product_url": "https://shop.thefreshmarket.com/store/the-fresh-market/products/85087739-walker-s-shortbread-fingers-tin-8-8-oz"
},
{

Need help? Contact us at

📧 Discord: [Discord Community]
💬 E-mail: service@browseract.com

40-100credits per task (estimated)