Description

This Apify Actor automates scraping and parsing of Browseract templates, extracting key details like titles, summaries, pricing, and metadata....

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Browseract Search Parser Spider

Introduction

The Browseract Search Parser Spider is a powerful Apify Actor designed to scrape and parse template data from the Browseract platform. It automates the extraction of detailed information about available templates, including titles, summaries, pricing, and metadata, enabling users to efficiently gather insights for research, analysis, or integration purposes. This tool streamlines data collection from Browseract's search results, providing structured JSON outputs that can be easily exported to CSV, Excel, or other formats for further processing.

Features

• Automated Scraping: Seamlessly extracts template details from Browseract search pages without manual intervention.
• Comprehensive Data Extraction: Captures key fields such as IDs, titles, slugs, URLs, images, summaries, authors, pricing, tags, and timestamps.
• High Reliability: Built on Apify's robust infrastructure, ensuring consistent performance and minimal downtime.
• Flexible Output: Generates clean JSON arrays, ideal for integration with data pipelines or analysis tools.
• No Input Required: Operates with default settings, making it easy to run out-of-the-box for quick data pulls.
• Scalable Performance: Handles multiple templates efficiently, with built-in error handling for resilient scraping.
• Metadata Insights: Includes category IDs, official status, and update timestamps for in-depth analysis.

Input Parameters

The Actor does not require any input parameters. It runs with default configurations to scrape the latest template data from Browseract.

Parameter	Type	Required	Description	Example
N/A	N/A	No	No input parameters are needed. The Actor uses default settings.	N/A

Example Usage

To run the Actor, simply start it without any inputs. Below is an example of the output JSON structure.

Example Input JSON (No inputs required):

{}

Example Output JSON:

[
  {
    "id": "56425105605007222",
    "title": "Extract Video Info From YouTube",
    "slug": "extract-video-info-from-youtube",
    "urls": {
      "template": "https://www.browseract.com/template/extract-video-info-from-youtube"
    },
    "images": {
      "cover": "https://browseract-prod.browseract.com/workflow/template/cover-1759916777403.png",
      "logo": "https://browseract-prod.browseract.com/workflow/template/recommend-logo-1759979982414.png"
    },
    "summary": "Extract YouTube video data automatically — title, views, likes, comments, and channel info in CSV or Sheets",
    "author": "Rowan",
    "pricing": {
      "min": "15",
      "max": "30"
    },
    "tags": [
      {
        "name": "Social Analytics",
        "slug": "social-analytics",
        "url": "https://www.browseract.com/template?tag=social-analytics"
      }
    ],
    "meta": {
      "categoryId": "3",
      "official": false,
      "top": false
    },
    "timestamps": {
      "created": 1759916787000,
      "updated": 1766394070000
    },
    "actor_id": "98qNYxGhXt2LLjSSn",
    "run_id": "kfFiXJWd7EV7gLbNc"
  },
  {
    "id": "56196278832335478",
    "title": "Extract Videos From A YouTube Channel",
    "slug": "extract-videos-from-a-youtube-channel",
    "urls": {
      "template": "https://www.browseract.com/template/extract-videos-from-a-youtube-channel"
    },
    "images": {
      "cover": "https://browseract-prod.browseract.com/workflow/template/cover-1759807662699.png",
      "logo": "https://browseract-prod.browseract.com/workflow/template/recommend-logo-1759979917823.png"
    },
    "summary": "Automatically extract YouTube channel video data including title, views, duration, thumbnail, and link. This workflow collects all videos for reporting or competitor analysis.",
    "author": "Rowan",
    "pricing": {
      "min": "20",
      "max": "40"
    },
    "tags": [
      {
        "name": "Data Processing",
        "slug": "data-processing",
        "url": "https://www.browseract.com/template?tag=data-processing"
      }
    ],
    "meta": {
      "categoryId": "3",
      "official": false,
      "top": false
    },
    "timestamps": {
      "created": 1759807673000,
      "updated": 1766393323000
    },
    "actor_id": "98qNYxGhXt2LLjSSn",
    "run_id": "kfFiXJWd7EV7gLbNc"
  },
  {
    "id": "54950145518732406",
    "title": "YouTube Channel Shorts Scraper",
    "slug": "youtube-channel-shorts-scraper",
    "urls": {
      "template": "https://www.browseract.com/template/youtube-channel-shorts-scraper"
    },
    "images": {
      "cover": "https://browseract-prod.browseract.com/workflow/template/cover-1759213462943.png",
      "logo": "https://browseract-prod.browseract.com/workflow/template/recommend-logo-1759979939426.png"
    },
    "summary": "Automatically scrape YouTube playlist data including titles, video counts, and thumbnails. Export results to CSV for competitor monitoring, influencer insights, and content strategy research.",
    "author": "Rowan",
    "pricing": {
      "min": "20",
      "max": "40"
    },
    "tags": [
      {
        "name": "Data Processing",
        "slug": "data-processing",
        "url": "https://www.browseract.com/template?tag=data-processing"
      }
    ],
    "meta": {
      "categoryId": "3",
      "official": false,
      "top": false
    },
    "timestamps": {
      "created": 1759213471000,
      "updated": 1766393291000
    },
    "actor_id": "98qNYxGhXt2LLjSSn",
    "run_id": "kfFiXJWd7EV7gLbNc"
  }
]

Use Cases

• Market Research: Analyze trending Browseract templates to identify popular tools and pricing trends.
• Competitive Intelligence: Monitor competitors' template offerings and strategies based on extracted data.
• Content Aggregation: Collect summaries and metadata for building databases of automation templates.
• Academic Research: Study patterns in template creation, authorship, and categorization for data science projects.
• Business Automation: Integrate template data into workflows for automated reporting or decision-making.
• Developer Insights: Explore available templates for inspiration or integration into custom applications.

Installation and Usage

1. Search for "Browseract Search Parser Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (none required).
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 Browseract template. Key fields include:

• id: Unique identifier for the template.
• title: Human-readable name of the template.
• slug: URL-friendly version of the title.
• urls: Object containing the template URL.
• images: Object with cover and logo image URLs.
• summary: Brief description of the template's functionality.
• author: Creator's name.
• pricing: Object with minimum and maximum pricing values.
• tags: Array of tag objects with name, slug, and URL.
• meta: Metadata including category ID, official status, and top ranking.
• timestamps: Creation and update timestamps in Unix format.
• actor_id and run_id: Associated Apify identifiers.

This structure ensures easy parsing and integration.

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!

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Latest PR Information

Field	Value
PR Number	#45
PR Title	Add empty line for code readability
Author	roshankdk
Merged At	2026-02-12T09:15:52Z
Trello Ticket	N/A