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.
B2B sales research and data enrichment inside spreadsheets.
Demand and competitor intelligence that mines Reddit, reviews, and the web for buyer intent and switching signals.
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
- ✦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
- ✦AI-powered text transformation, extraction, and summarization in Google Sheets and Excel
- ✦Automated web scraping and deep B2B research
- ✦CRM data enrichment and sales lead validation
- ✦Custom AI models and pre-built templates for data extraction
- ✦Scalable cloud infrastructure for large-volume data processing
- ✦Integration with CRMs (e.g., HubSpot) and REST API
- ✦Market-leading accuracy for data results
- ✦Unlimited data import and export
- ✦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
- ✦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
- →Analyzing sales lists and generating keywords/SEO content
- →Automating B2B research and CRM data enrichment
- →Extracting company data, buying signals, and custom insights from websites
- →Building prospect databases and validating sales leads
- →Transforming messy text and unpacking survey responses
- →Drafting emails and outreach
- →Processing thousands of URLs simultaneously for research
- →Tracking competitor changes and complaints
- →Finding high-intent buyers on Reddit
- →Turning discussions into ready-to-post content
- →Analysts needing structured web data without writing scraping code
- →Teams monitoring multiple sites for changes
- →Businesses replacing manual data collection with plain-language queries