Opportunities

Underserved niches in the Apify Store. Each row is a real competitive cluster of actors, ranked by 30-day demand, saturation, and the quality gap left open by the cluster’s dominant actor.

  1. 1

    Real estate skip-tracing and lead-gen tools — find property owners, phone numbers and MLS data for off-market deals.

    1.8K 30-day users · 17 competing actors
    Leader: Skip Trace · 3.10 (23 reviews) · 96% market share
  2. 2

    Open-source scrapers built for RAG and LLM pipelines — web extractors that return clean, embeddable text.

    23.8K 30-day users · 24 competing actors
    Leader: RAG Web Browser · 3.74 (23 reviews) · 100% market share
  3. 3

    Short-term rental scrapers — Airbnb, Vrbo and vacation-rental data for hosts, investors and travel research.

    1.5K 30-day users · 161 competing actors
    Leader: Airbnb Scraper · 2.69 (13 reviews) · 28% market share
  4. 4

    Open-source social scrapers — LinkedIn profiles, posts and company data with reusable, self-hostable source code.

    10.3K 30-day users · 9 competing actors
    Leader: LinkedIn Profile Scraper + Email ✅ No Cookies · 4.86 (51 reviews) · 77% market share
  5. 5

    News and trend scrapers — Google Trends, news aggregators and SERP tools for content and SEO research.

    1.5K 30-day users · 90 competing actors
    Leader: Google Trends Scraper · 3.31 (23 reviews) · 58% market share
  6. 6

    Marketplace and classifieds scrapers — Facebook Marketplace, Craigslist and resale platforms for resellers and arbitrage.

    1.7K 30-day users · 163 competing actors
    Leader: Facebook Marketplace Scraper · 3.30 (27 reviews) · 45% market share
  7. 7

    Open-source lead-gen scrapers — LinkedIn profile, company and contact harvesters with auditable source code.

    13K 30-day users · 20 competing actors
    Leader: LinkedIn Profile Scraper + Email ✅ No Cookies · 4.86 (51 reviews) · 61% market share
  8. 8

    Open-source automation actors — bulk LinkedIn extractors and workflow tools that teams can fork and modify.

    3.3K 30-day users · 30 competing actors
    Leader: Linkedin Company Details Scraper (No Cookies) ✅ Bulk · 4.69 (11 reviews) · 56% market share
  9. 9

    Open-source web-scraping frameworks — generic crawlers, headless-browser tooling and building blocks for custom actors.

    7.9K 30-day users · 50 competing actors
    Leader: Web Scraper · 4.51 (86 reviews) · 44% market share
  10. 10

    AI-agent video tools — YouTube and video transcript extractors feeding research, summarisation and content pipelines.

    1.7K 30-day users · 36 competing actors
    Leader: YouTube Video Transcript · 5.00 (19 reviews) · 77% market share
  11. 11

    Job-and-profile scrapers — LinkedIn batch profile extractors used by recruiters and sales teams for prospecting.

    4.2K 30-day users · 141 competing actors
    Leader: Profile Details Batch Scraper for LinkedIn + EMAIL (No Cookies) · 4.42 (16 reviews) · 22% market share
  12. 12

    SERP scrapers powering AI agents — Google Search, Bing and search-result harvesters for grounding and research.

    12.4K 30-day users · 186 competing actors
    Leader: Google Search Results Scraper · 4.77 (139 reviews) · 87% market share
  13. 13

    Local business and review scrapers — Google Maps, Yelp and review-platform extractors for reputation and lead-gen.

    5.2K 30-day users · 124 competing actors
    Leader: Google Maps Reviews Scraper · 4.80 (165 reviews) · 86% market share
  14. 14

    MCP-callable social scrapers — LinkedIn profile, post and social-content extractors exposed to Claude Desktop, Cursor and other MCP clients.

    1.5K 30-day users · 62 competing actors
    Leader: LinkedIn Company Employees Scraper — B2B Prospect List Builder · (0 reviews) · 29% market share
    Untested — leader has too few reviews to readSee competitors →
  15. 15

    AI×News

    Modest

    Web sources for AI agents — Reddit and news scrapers feeding research, monitoring and grounding pipelines.

    5.1K 30-day users · 149 competing actors
    Leader: Reddit Scraper Lite · 4.59 (36 reviews) · 82% market share
  16. 16

    AI video-to-text — Instagram, TikTok and YouTube transcript extractors for LLM-powered content workflows.

    1.7K 30-day users · 119 competing actors
    Leader: Instagram Transcript API – AI Video to Text for Developers · 4.44 (6 reviews) · 18% market share
  17. 17

    Job-board scrapers — Google Jobs, Indeed and board aggregators for recruiting and labour-market analysis.

    1.7K 30-day users · 191 competing actors
    Leader: Google Jobs Scraper · 4.36 (5 reviews) · 19% market share
  18. 18

    MCP-callable lead-gen tools — LinkedIn and company-data scrapers exposed to Claude Desktop, Cursor and MCP clients.

    2.1K 30-day users · 122 competing actors
    Leader: LinkedIn Company Employees Scraper — B2B Prospect List Builder · (0 reviews) · 20% market share
    Untested — leader has too few reviews to readSee competitors →
  19. 19

    AI-agent social tools — YouTube and social transcript extractors used inside autonomous agent workflows.

    3.5K 30-day users · 197 competing actors
    Leader: YouTube Video Transcript · 5.00 (19 reviews) · 38% market share
  20. 20

    Marketing lead-gen scrapers — LinkedIn employees, Facebook Ads library and prospect-data extractors for outbound.

    1.4K 30-day users · 129 competing actors
    Leader: LinkedIn Company Employees Scraper & Email Finder - No Login · 1.00 (1 reviews) · 16% market share
    Untested — leader has too few reviews to readSee competitors →

How this works

Niches are ranked by a combination of three signals: how much demand the niche has (30-day users across all of its actors), how saturated it is with competing actors, and how much room the niche’s dominant actor leaves for a better alternative. The tier badge (Hot / Strong / Promising / Modest) compresses that combined signal into a quick read; click any niche to see the full competing field.

This lens looks at category-pair niches — the natural intersection of how Apify tags actors. Keyword-specific sub-niches (for example “yelp” inside Lead generation × Travel) need a different lens that’s on the roadmap.