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Goconqr Discovery Parser Spider

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from $9.00 / 1,000 results

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Goconqr Discovery Parser Spider

Goconqr Discovery Parser Spider

The Goconqr Discovery Parser Spider efficiently extracts educational resources from Goconqr using keywords, customizable limits, and high-quality data extraction. It supports research, content discovery, and automation with user-friendly configuration for streamlined academic and market analysis.

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

3 days ago

Last modified

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Goconqr Discovery Parser Spider

Introduction

The Goconqr Discovery Parser Spider is a powerful tool designed to extract valuable educational resources from the Goconqr platform. It enables users to efficiently gather data on mind maps, slide sets, and other learning materials based on specified keywords, facilitating research and content discovery.

Features

  • Keyword-Based Scraping: Extracts resources using user-defined keywords.
  • Customizable Page Limits: Control the number of pages to scrape for comprehensive data collection.
  • Flexible Item Limit: Set a maximum number of items per run or allow unlimited scraping.
  • High-Quality Data Extraction: Ensures accurate and reliable data retrieval from Goconqr.
  • Efficient Performance: Optimized for speed and resource management during extraction.
  • User-Friendly Configuration: Simple setup with intuitive input parameters.

Input Parameters

ParameterTypeRequiredDescriptionExample
KeywordsArrayNoThe keywords for the spider.["History"]
Max PagesIntegerNoThe maximum number of pages to scrape.1
Item LimitIntegerNoMaximum items to scrape per actor run; set to 0 for no limit.10

Example Usage

Input JSON

{
"Keywords": ["History"],
"MaxPages": 2,
"item_limit": 20
}

Output JSON

[
{
"resource_name": "History of Medicine: Ancient Ideas",
"writer_name": "James McConnell",
"rating_count": "4.13",
"no_of_reviews": 16,
"category": "Resources",
"resource_type": "Mind Map",
"resource_url": "https://www.goconqr.com/mindmap/729702/history-of-medicine-ancient-ideas",
"view_count": 3321,
"pin_count": 108,
"tag_list": [
"gcse",
"gcse history of medicine",
"history"
],
"updated_at": "2019-05-04T05:25:24Z",
"search_keyword": "History",
"page": 1,
"actor_id": "NRJpvcDlQYxuthndm",
"run_id": "l3NjVVUXjy2ghz1lK"
},
{
"resource_name": "Using GoConqr to study History",
"writer_name": "Sarah Egan",
"rating_count": "4.18",
"no_of_reviews": 28,
"category": "Resources",
"resource_type": "Slide Set",
"resource_url": "https://www.goconqr.com/slide/3960243/using-goconqr-to-study-history",
"view_count": 1481,
"pin_count": 35,
"tag_list": [
"secondary",
"second",
"gcse",
"a level",
"leaving",
"junior",
"history"
],
"updated_at": "2017-10-26T20:02:21Z",
"search_keyword": "History",
"page": 1,
"actor_id": "NRJpvcDlQYxuthndm",
"run_id": "l3NjVVUXjy2ghz1lK"
},
{
"resource_name": "New GCSE history content",
"writer_name": "Sarah Egan",
"rating_count": "3.71",
"no_of_reviews": 7,
"category": "Resources",
"resource_type": "Mind Map",
"resource_url": "https://www.goconqr.com/mindmap/4190703/new-gcse-history-content",
"view_count": 1066,
"pin_count": 23,
"tag_list": [
"new gcse",
"history",
"overview"
],
"updated_at": "2018-04-12T11:17:05Z",
"search_keyword": "History",
"page": 1,
"actor_id": "NRJpvcDlQYxuthndm",
"run_id": "l3NjVVUXjy2ghz1lK"
}
]

Use Cases

  • Market Research and Analysis: Gather data on educational trends and popular topics.
  • Competitive Intelligence: Monitor competitor content strategies and offerings.
  • Price Monitoring: Track pricing changes in educational resources.
  • Content Aggregation: Compile comprehensive datasets for analysis or reporting.
  • Academic Research: Support studies with curated educational materials.
  • Business Automation: Automate data collection processes for efficiency.

Installation and Usage

  1. Search for "Goconqr Discovery Parser Spider" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters as needed.
  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 output is a JSON array of objects, each representing a resource with fields such as resource_name, writer_name, rating_count, no_of_reviews, category, resource_type, resource_url, view_count, pin_count, tag_list, updated_at, search_keyword, page, actor_id, and run_id.

Support

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

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