Paperform Discovery Spider

Introduction

The Paperform Discovery Spider is designed to efficiently crawl and extract data from Paperform sites based on specified queries. This actor is ideal for users seeking to automate data collection, streamline research processes, and gain insights from Paperform templates.

Features

• Automated Data Extraction: Seamlessly gather information from Paperform sites using predefined queries.
• High Data Quality: Ensures accurate and comprehensive data collection with structured output.
• Performance Efficiency: Optimized for quick and reliable data retrieval.
• Customizable Queries: Tailor the spider's search parameters to fit specific research needs.
• Versatile Output Formats: Export data in JSON, CSV, or Excel formats for easy integration.
• User-Friendly Interface: Simple setup and execution process for hassle-free operation.
• Scalable Solution: Suitable for both small-scale and large-scale data collection tasks.

Input Parameters

Parameter	Type	Required	Description	Example
Queries	Array	No	The queries for the spider.	["site"]

Example Usage

Example Input JSON

{
  "Queries": ["site"]
}

Example Output JSON

[
  {
    "name": "Site Emergency Eyewash and Shower Accessibility Audit",
    "short_description": "Comprehensive safety inspection form to verify emergency eyewash stations and safety showers meet ANSI Z358.1 standards for accessibility, 10-second reach time, clear pathways, and proper signage.",
    "meta_title": "Emergency Eyewash and Shower Accessibility Audit Form Template",
    "meta_description": "Professional safety inspection form for verifying emergency eyewash stations and safety showers meet ANSI Z358.1 standards with 10-second reach time, clear pathways, and proper signage compliance.",
    "categories": ["construction", "reporting"],
    "subcategories": ["safety-inspections", "incident-reports", "inspection-checklists", "safety-checklists"],
    "industries": ["ind-construction", "ind-manufacturing", "ind-trades-contractors", "ind-healthcare", "ind-environmental"],
    "professions": ["prof-safety-officer", "prof-facilities-manager", "prof-manager", "prof-contractor", "prof-engineer", "prof-building-inspector"],
    "popularity": 0,
    "created_at": "2026-02-05T23:31:24.505Z",
    "updated_at": "2026-02-05T23:31:24.505Z",
    "status": "active",
    "slug": "site-emergency-eyewash-and-shower-accessibility-audit",
    "actor_id": "qhXTMa640GWksg8SI",
    "run_id": "NNWtIbmjtUnkCHhoW"
  }
]

Use Cases

• Market Research and Analysis: Gather data on industry trends and consumer preferences.
• Competitive Intelligence: Monitor competitor offerings and strategies.
• Price Monitoring: Track pricing changes across various Paperform templates.
• Content Aggregation: Compile information for content creation and curation.
• Academic Research: Collect data for scholarly studies and publications.
• Business Automation: Streamline data collection processes for operational efficiency.

Installation and Usage

1. Search for "Paperform Discovery 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 output data is structured in JSON format, containing fields such as name, short_description, meta_title, meta_description, categories, subcategories, industries, professions, popularity, created_at, updated_at, status, slug, actor_id, and run_id. Each field provides specific insights into the Paperform template's characteristics and metadata.

Support

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

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!