Extract structured public item records from Goofish item URLs or IDs. The template returns pricing, seller, description, image, attribute, category, and demand data without messaging sellers or starting a transaction.

What Does BrowserAct Goofish Item Details Scraper Do?

This BrowserAct template runs a validated, reusable extraction path against publicly accessible Goofish pages. Configure the inputs, run the Bot, and receive structured records without writing selectors or browser scripts.

Key Features

Accept full item URLs or reusable item and category IDs.
Read complete public item detail data without messaging the seller.
Capture price, seller, description, images, attributes, and demand count.
Stop and report verification instead of returning fabricated data when risk control blocks access.

What Data Can I Extract from Goofish?

Field	Description
`item_id`	Structured item id value returned by the Bot.
`category_id`	Structured category id value returned by the Bot.
`item_url`	Public item url for the record.
`title`	Public title.
`current_price_cny`	Visible current price cny, preserved as null when unavailable.
`original_price_cny`	Visible original price cny, preserved as null when unavailable.
`seller_name`	Public seller name.
`seller_avatar_url`	Public seller avatar url for the record.
`seller_labels`	Public seller identity or profile labels.
`full_description`	Public full description text.
`image_urls`	Public image URLs returned for the record.
`attributes`	Structured item attributes exposed by the public source.
`want_count`	Visible want count value.

How to Use Goofish Item Details Scraper

Click Run task.
Enter the configurable values shown below.
Run the Bot and review the structured records.
Export the result or connect it to an API, automation platform, or agent workflow.

Input Parameters

Parameter	Required	Default	Description
`Item URLs or IDs`	Yes	`https://www.goofish.com/item?id=1054899470781&categoryId=126862528`	One item URL, item ID and category ID pair, or bare item ID per line.
`Count`	Yes	`1`	Maximum supplied items to process.

Example Output

{
  "results": [
    {
      "item_id": "1054899470781",
      "category_id": "126862528",
      "item_url": "https://www.goofish.com/item?id=1054899470781&categoryId=126862528",
      "title": "iPhone 15 128 GB",
      "current_price_cny": 898,
      "original_price_cny": null,
      "seller_name": "Example Seller",
      "seller_labels": [
        "Identity verified"
      ],
      "image_urls": [
        "https://img.alicdn.com/example.jpg"
      ],
      "attributes": {
        "brand": "Apple",
        "model": "iPhone 15",
        "storage": "128 GB"
      },
      "want_count": 64
    }
  ]
}

How Does it Work?

How Goofish Item Details Scraper runs

BrowserAct opens the canonical Goofish item URL and waits for the public item-detail request issued by the page.

The Bot validates the mtop.taobao.idle.pc.detail success response, maps item, seller, price, description, image, attribute, category, and want-count data, and returns one structured record per supplied item.

How to Build a New Scraper Bot with Agent Built

Step 1: Describe the Data You Need

Open BrowserAct and start Agent Built from the Home prompt box or from Create -> Build with Agent. Paste a clear request that includes the website, the records to collect, the filters or search conditions, the fields to return, the result limit, and the inputs you want to reuse later.

Agent Built prompt templates

Step 2: Let BrowserAct Build and Test the Bot

BrowserAct explores the live website, works out the navigation and extraction path, and validates the result. If BrowserAct asks for clarification, reply in the same build conversation with the missing URL, condition, field, example, or expected output.

Agent Built exploration

Step 3: Run the Bot and Review the Result

When the build is complete, run the Bot with the default inputs first. Review the structured records, source URLs, missing fields, and row count before reusing the Bot with new inputs or connecting it to another workflow.

Agent Built run inputs

Agent Built run results

Why Use Goofish Item Details Scraper?

Research secondhand pricing, compare item attributes, monitor public listings, and enrich resale-market datasets with seller and demand signals.

Who Can Use This Template?

Resale marketplace analysts.
Secondhand sellers and buyers.
Pricing researchers.
E-commerce automation teams.

How Many Results Can You Scrape?

Count limits supplied items processed per run. Public item availability and risk-control behavior can vary; blocked items return a clear verification requirement rather than invented values.

Automation and Export

Automation and export flow

BrowserAct returns structured data first. You can then use the completed output through API JSON responses, n8n workflows, Make scenarios, Zapier automations, MCP-based agent workflows, or manual CSV and spreadsheet review.

Need Help?

Contact us at

Discord: Discord Community

E-mail: service@browseract.com

Goofish Item Details Scraper

History

FAQ About the template

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