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Apify

✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves

Opera One Browser

✓ verifiedFree

Free Chromium-based desktop browser with tab grouping, built-in AI, free VPN, ad blocker and sidebar apps.

Watsonx.data

✓ verifiedFree trial

IBM's open, hybrid data lakehouse that connects, governs and optimizes enterprise data to make it AI-ready across clouds and on-premises.

YepCode

Paid

21K visits/mo

Peaka

4.7K visits/mo

Pricing

Free: $0/mo ($5 included usage)

Starter: $29/mo ($26/mo billed annually)

Scale: $199/mo ($179/mo billed annually)

Business: $999/mo ($899/mo billed annually)

Free trial available

No public pricing

Free trial available

DEVELOPER: FREE

STARTER: $119 / month

GROWTH: $599 / month

ENTERPRISE: Starting at $1,800 / month

No public pricing

Core features

✦Web scraping
✦Data extraction
✦Browser automation
✦AI agents
✦Anti-blocking
✦Proxy rotation
✦Open-source tools (Crawlee)
✦Ready-made tools and code templates

✦Tab Islands for organizing tabs into groups
✦Built-in Opera AI assistant with page context
✦Free VPN and ad blocker
✦Modular sidebar with apps and messengers
✦Split-screen browsing and immersive themes

✦Open hybrid data lakehouse
✦Connects data across clouds and on-prem
✦Governance, lineage and access controls
✦Business-context enrichment
✦AI-ready data for analytics and models

✦Developer-first platform for AI-powered integrations
✦Secure, isolated sandboxes for running JavaScript/Python code
✦Automatic management of npm/PyPI dependencies
✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
✦Yep Agent (prompt → runnable processes)
✦MCP Server/Tools (convert code into AI agent tools)
✦Serverless runtime (YepCode Run) and SDK access

✦Zero-ETL data integration
✦Federated Query
✦Streaming Ingestion
✦Instant Replication with CDC
✦API to SQL conversion
✦NoSQL to SQL conversion
✦SQL to API conversion
✦Self-service Integration
✦Generate SQL with AI

Use cases

→Data for generative AI
→Lead generation
→Market research
→Sentiment analysis

→Browsing with organized tab groups
→Using AI assistance while browsing
→Protecting privacy with a free VPN
→Multitasking with sidebar apps and split screen

→Unifying fragmented enterprise data
→Governing data for AI workloads
→Moving AI pilots to production
→Powering analytics with trusted data

→Building complex API integrations that require custom code and logic beyond what no-code tools offer.
→Safely running AI-generated scripts in isolated environments with secrets management.
→Automating workflows that require large datasets, loops, branching, or custom dependencies.
→Connecting AI agents to external databases, APIs, and services using MCP tools.

→Query data directly from its source in real-time.
→Process data wherever it is, blending data from different sources.
→Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
→Replace nightly batch ingestion with real-time data access.
→Treat every data source like a relational database by converting APIs to tables.
→Use SQL to query NoSQL databases.
→Query consolidated data and expose it with APIs.

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