Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
Directory to discover and compare 24,000+ scraping/data APIs, plus GetOData's own Apify actors and Chrome extension.
Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.
Demand and competitor intelligence that mines Reddit, reviews, and the web for buyer intent and switching signals.
Managed service that finds and removes personal data from broker sites and public records, aimed at executives, families and firms.
Natural-language AI web scraper that turns plain-English data requests into automated crawls with built-in CAPTCHA solving.
No public pricing
No public pricing
No public pricing
- ✦Directory of 24,000+ data/scraping APIs
- ✦Side-by-side API comparison
- ✦GetOData Apify actors
- ✦AI-based Chrome scraping extension
- ✦Category browsing (jobs, real estate, social, etc.)
- ✦Reader API converts URLs to Markdown
- ✦Multimodal multilingual embedding models
- ✦Reranker for stronger search relevance
- ✦Web search endpoint returning SERP data
- ✦MCP server for use inside LLMs
- ✦Native inference inside Elasticsearch
- ✦Graded weekly competitor intelligence briefs
- ✦Live buyer-intent and complaint feed
- ✦Reddit lead and subreddit discovery
- ✦AI content writer from trending discussions
- ✦MCP integration and Chrome extension
- ✦Personal data discovery across broker sites
- ✦Ongoing removal and re-exposure prevention
- ✦Continuous digital-footprint monitoring
- ✦Organization and executive protection plans
- ✦Included identity-theft insurance
- ✦Natural-language query-based scraping setup
- ✦Automatic CAPTCHA solving
- ✦Tailored crawlers for roughly 100 named websites
- ✦Universal beta scraper for other public sites
- ✦CSV export of results
- ✦Click-and-scroll automation
- →Finding the right scraping API
- →Comparing data extraction tools
- →Small-scale web scraping
- →Sourcing structured web data
- →Ground LLMs with clean web content
- →Build semantic and RAG search
- →Rerank retrieved results
- →Give AI agents live web access
- →Tracking competitor changes and complaints
- →Finding high-intent buyers on Reddit
- →Turning discussions into ready-to-post content
- →Removing personal info from the internet
- →Protecting executives from targeted attacks
- →Reducing family privacy exposure
- →Ongoing identity monitoring
- →Analysts needing structured web data without writing scraping code
- →Teams monitoring multiple sites for changes
- →Businesses replacing manual data collection with plain-language queries