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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

PromptLoop logo
PromptLoop
✓ verifiedPaid

B2B sales research and data enrichment inside spreadsheets.

44K visits/mo3.4K saves
Linkeddit logo
Linkeddit
✓ verifiedPaid

Demand and competitor intelligence that mines Reddit, reviews, and the web for buyer intent and switching signals.

11K visits/mo17K saves
Webtap - AI Web Scraper logo
Webtap - AI Web Scraper
✓ verifiedPaid

Natural-language AI web scraper that turns plain-English data requests into automated crawls with built-in CAPTCHA solving.

1.7K saves
Gumloop logo
Gumloop
✓ verifiedFreemium

No-code platform for building and running AI agents that automate work across data, sales and support tasks.

701K visits/mo
AgentGPT logo
AgentGPT
✓ verifiedFree

AgentGPT/Reworkd automates web data extraction at scale; real adoption.

112K visits/mo43K saves
Pricing
Free: $0 /mo
Growth: $750 /mo (Monthly), $500 /mo (Annually)
Pro: $49/mo
Pro Plan: $19.99/month (10,000 scraping credits/month)
Pro: $37/month (20k+ credits/month, unlimited seats)

No public pricing

Core features
  • 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
  • Visual canvas to orchestrate multi-agent workflows
  • Prebuilt specialized agents (data, support, CRM, sales)
  • Access to many AI models with no vendor lock-in
  • Slack, Teams and email agent interaction
  • Recurring/scheduled tasks and triggers
  • Enterprise security: RBAC, VPC, audit logs, spend controls
  • Automated web data extraction
  • AI-powered code generation
  • Self-healing scrapers
  • Deep analytics dashboard
Use cases
  • 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
  • Automate data analysis and reporting
  • Triage support tickets and spot patterns
  • Keep a CRM updated and research prospects
  • Deploy AI agents across a team's tools
  • Extracting data from government regulation websites
  • Scraping company data from Indeed or Y Combinator
  • Monitoring changes on websites
  • Downloading regulation PDFs
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