Exploding Topics: Scrape Top Websites by Category and Region

Scrape trending and "exploding" websites from Exploding Topics, categorized by industry and region, to uncover emerging market trends.

Introduction

In the fast-paced digital economy, staying ahead of the curve means knowing which websites and services are gaining momentum before they become mainstream. The Exploding Topics Scraper is designed to help you automate this discovery process. By extracting data directly from the Exploding Topics analytics platform, this Actor provides deep insights into the websites that are currently seeing rapid growth in engagement and popularity.

Whether you are a market researcher, an SEO specialist, or an entrepreneur looking for the next big thing, this tool allows you to systematically monitor shifts in digital interest across various categories and geographic regions.

Use Cases

• Trend Discovery for Product Development: Identify emerging niches and websites within specific industries (like "Artificial Intelligence" or "SaaS") to find gaps in the market.
• Competitive Intelligence: Monitor how certain websites are performing in terms of visits, bounce rates, and engagement metrics to understand market leaders and rising challengers.
• Regional Market Analysis: Compare website popularity and engagement across different countries to tailor your marketing or expansion strategies to specific geographic regions.
• SEO & Content Strategy: Track trending topics and website growth to inform content creation and keyword targeting based on real-world engagement data.

Input

The Actor is highly configurable, allowing you to target specific areas of interest:

• Regions: Select one or more countries or regions (e.g., united-states, global) to focus your scrape on.
• Categories: Choose from a wide range of business categories (e.g., computer-software-and-development, all) to filter the results.
• Max Concurrency: Control the speed of the scraper by setting the number of concurrent requests (between 1 and 8).

Output

The Actor produces a dataset containing detailed information for each website found, including its rank, engagement metrics, and growth trends.

[
  {
      "region": "united-states",
      "category": "airlines",
      "path": "expedia.com",
      "rank": 1,
      "rankChange": 0,
      "rankChangeDirection": "same",
      "visits": 61885880,
      "pagesPerVisit": 4.6943,
      "bounceRate": 46.69,
      "averageDuration": "14:06"
    },
    {
      "region": "united-states",
      "category": "airlines",
      "path": "aa.com",
      "rank": 2,
      "rankChange": 0,
      "rankChangeDirection": "same",
      "visits": 46900058,
      "pagesPerVisit": 6.1783,
      "bounceRate": 27.56,
      "averageDuration": "15:10"
    }
]

Miscellaneous

• Rate Limits: Be mindful of the max_concurrency setting. Higher values increase speed but may lead to more frequent rate limiting if not paired with robust proxy usage.
• Concurrency & Memory: The max_concurrency parameter should be tuned alongside the Apify Actor's memory configuration. Increasing the memory provides more CPU, which is necessary to handle higher concurrency. For instance, a 1 GB actor might not be reliable when using high concurrency.
• Error Handling: Failed requests are pushed to the Key-Value Store, allowing you to review them and retry if needed.