Context.dev vs ManyPI: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Context.dev and ManyPI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Context.dev

Freemium

A single REST API that turns any URL into LLM-ready markdown, crawls whole sites, and returns brand, logo, and structured company data.

Web Scraping API: Converts any URL into markdown, HTML, raw bytes, sitemaps, screenshots, or images, with JS rendering, anti-bot bypass, and premium proxies included at one credit per page.
Site Crawling: Crawls an entire domain page by page so teams can build knowledge bases or ground RAG pipelines in fresh content instead of a model's training cutoff.
Schema-Based Extraction: The Extract endpoint crawls a site and returns structured data shaped to a JSON Schema you supply, removing hand-written parsers.
Answers Endpoint: Takes a research task plus the JSON shape you want back, researches the web, and returns a structured answer in one API call, with a cheaper fast mode.
Brand Intelligence: Retrieves logos, colors, fonts, styleguides, descriptions, socials, and addresses for a domain, powering programmatic theming and automated brand kits.
Logo Link CDN: Serves any company's logo through a direct image URL on a separate quota that does not consume API credits.
Entity Enrichment and Classification: Extracts products, enriches people from an email or profile URL, searches company news, and returns NAICS/SIC codes or transaction identification.
SDKs, MCP Server, and CLI: Official TypeScript, Python, Ruby, Go, and PHP SDKs plus an MCP server and CLI let agents and applications integrate without custom HTTP plumbing.

Grounding AI Agents: Give an LLM agent live web access so answers reflect the current web rather than the model's training cutoff.
RAG Knowledge Bases: Crawl documentation sites, academic journals, or PDFs at scale to build and refresh a retrieval corpus.
Support Chatbot Ingestion: Turn a customer's whole website into the knowledge base behind an AI support bot, as SiteGPT does after migrating from a competing scraper.
Automated Brand Kits and Theming: Pull a company's logo, colors, and fonts from its domain to theme an app or generate on-brand assets programmatically.
Onboarding Autofill: Enrich a new signup's company profile from their email domain so onboarding forms prefill instead of asking users to type.
Website Change Monitoring: Run concurrent monitors against competitor or supplier pages and react when content changes.
Structured Research Pipelines: Use the Answers endpoint to run repeatable web research tasks that return machine-readable JSON for downstream automation.

Freemium

Platform to extract, transform, and automate web data for developers, researchers, and data teams.

Web Data Extraction: Configurable extractors to scrape structured and unstructured content from web pages, including support for pagination and dynamic content.
Data Transformation Pipelines: Tools to clean, normalize, map and enrich scraped data into standard formats (JSON, CSV) ready for analysis or storage.
Automation & Scheduling: Recurring job scheduling, incremental updates, and automated workflows to keep datasets up to date without manual intervention.
Developer APIs & SDKs: Programmatic access to start extraction jobs, retrieve results, and integrate ManyPI into existing applications and data pipelines.
Scalable Infrastructure: Cloud-hosted parallel workers, rate limiting, and proxy support to run large-scale crawls reliably and efficiently.
Export & Integrations: Direct export options and connectors to common targets (databases, object storage, webhooks) for seamless delivery of scraped data.
Web data extraction (scraping) at scale
Data transformation and normalization capabilities
Automation and scheduling of extraction workflows
Programmatic API access for integration into apps and pipelines
Export to common formats (JSON/CSV) and connectors to downstream systems
Monitoring, logging, and workflow orchestration

Competitive Price Monitoring: Continuously scrape e-commerce sites to track competitor pricing, stock levels, and product changes over time.
Lead Generation: Extract contact information and company data from directories, listings, and social pages and format it for CRM import.
Market Research & Intelligence: Collect product listings, reviews, and forum discussions to analyze trends, sentiment, and market opportunities.
Academic Research & Data Collection: Gather longitudinal web datasets for social science, linguistics, or other scholarly research projects.
Content Aggregation: Aggregate articles, job postings, or classifieds from multiple sources into a centralized searchable feed.
Data Pipeline Automation: Feed cleaned and transformed web data directly into BI tools, data warehouses, or ML training datasets on a schedule.
Building datasets for analytics and research by scraping public web sources
Price and product monitoring for e-commerce
Lead generation and contact discovery from web listings
Automating recurrent data collection and ETL pipelines
Competitive intelligence and market research