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Etsy Poc Spider

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Etsy Poc Spider

Etsy Poc Spider

Etsy Poc Spider is an Apify Actor that efficiently scrapes comprehensive Etsy shop data, including owner details, locations, descriptions, and social media links. Perfect for market research, competitive intelligence, and business automation....

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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Description

Etsy Poc Spider is an Apify Actor that efficiently scrapes comprehensive Etsy shop data, including owner details, locations, descriptions, and social media links. Perfect for market research, competitive intelligence, and business automation....


Etsy Poc Spider

Introduction

The Etsy Poc Spider is a powerful Apify Actor designed to scrape and extract detailed information from Etsy shop pages. It provides comprehensive data on shop owners, locations, descriptions, social media links, and more, enabling users to gather insights efficiently. This tool is ideal for researchers, marketers, and businesses looking to analyze Etsy marketplaces without manual effort.

Features

  • Comprehensive Data Extraction: Retrieves detailed shop information including owner details, location, contact info, and social media profiles.
  • Batch Processing: Supports multiple shop inputs in a single run for efficient data collection.
  • High Reliability: Built to handle Etsy's dynamic web structure with robust error handling and retries.
  • Structured Output: Delivers clean, JSON-formatted data ready for analysis or integration.
  • Fast Performance: Optimized for quick scraping with minimal processing time.
  • Customizable Inputs: Flexible configuration to target specific shops or lists.
  • Apify Integration: Seamlessly runs on the Apify platform with easy export options.

Input Parameters

ParameterTypeRequiredDescriptionExample
ShopInputsarrayNoAn array of Etsy shop usernames or slugs to scrape data from. Each entry should be a valid shop identifier.["lindylonghurst", "anotherShop"]

Example Usage

Input JSON

{
"ShopInputs": ["lindylonghurst"]
}

Output JSON

[
{
"Owner_Name": "Lindy Longhurst",
"Store_URL": "https://www.etsy.com/shop/LindyLonghurst",
"Store_Name": "LindyLonghurst",
"Store_Location": "Maclean, Australia",
"Country": "Australia",
"State_or_Region": "NSW",
"Store_TimeZone": "need to check it out",
"Store_Category": "need to check it out",
"Store_Description_Text": "I began painting and drawing some years ago after much travel, exposure to different cultures and spiritual beliefs and a reawakening to nature. \r\nThe influence for my work is based on a strong connection to the earth - to the natural elements, and an exploration into the conscious and subconscious worlds via dreams and meditation.\r\n\r\nAs an artist I have completed several series of works based on mandalas as well as several painted works inspired by images from dreams. I have exhibited in Australia and Europe and my work has been published in magazines in the US and Australia. I have also created many personalised works and welcome commissions. \r\nCurrently I am a full time artist and I have been running my etsy shop since 2006.\r\n\r\nI hope you enjoy my work and thanks for visiting !",
"About_Section_Text": "need to check it out",
"Email": "need to check it out",
"Phone": "need to check it out",
"Instagram_URL": "https://instagram.com/lindylonghurst/",
"Facebook_URL": "https://www.facebook.com/LindyLonghurst",
"Pinterest_URL": null,
"TikTok_URL": null,
"YouTube_URL": null,
"Website_URL": "http://www.lindylonghurst.com",
"Website_Domain": "www.lindylonghurst.com",
"Has_Website": "Y",
"shop_Age": "2006-03-06",
"First_Listed_Year": "need to check it out",
"Last_Seen_Date": "2026-02-13",
"Recent_Activity_Date": "2025-07-14",
"Listing_Count": 142,
"Listing_With_Video_Count": "need to check it out",
"Processing_Time_Days": 5,
"actor_id": "RHUJCgrZ3LWMHf00b",
"run_id": "aK9PJqN93hbBwCbld"
}
]

Use Cases

  • Market Research: Analyze trends in Etsy shops by collecting data on categories, locations, and descriptions.
  • Competitive Intelligence: Monitor competitors' shop details, social media presence, and listing counts.
  • Price Monitoring: Gather insights on shop ages and activity dates to inform pricing strategies.
  • Content Aggregation: Compile shop descriptions and links for content creation or SEO analysis.
  • Academic Research: Study e-commerce patterns by extracting demographic and operational data from shops.
  • Business Automation: Automate data collection for lead generation or supplier discovery in the handmade goods market.

Installation and Usage

  1. Search for "Etsy Poc Spider" 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 a JSON array of objects, each representing a scraped Etsy shop. Key fields include owner name, store URL, location details (country, state), description text, social media URLs (Instagram, Facebook, etc.), website information, shop age, listing counts, and metadata like actor and run IDs. Fields marked as "need to check it out" indicate data that may require further verification or updates. The output is structured for easy parsing and integration into databases or analysis tools.

Support

For custom/simplified outputs or bug reports, please contact:

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