Piloterr is a web scraping API platform that gives developers and businesses access to 50+ pre-built endpoints for extracting data from LinkedIn, Amazon, Google, and dozens of other sites. It handles proxy rotation, browser rendering, CAPTCHA solving, and anti-bot bypasses automatically. You pay only for successful requests using a simple credit system. Ideal for sales teams, marketers, and developers who need structured web data without building scrapers from scratch.

• 50+ Pre-Built API Endpoints: Access structured data from LinkedIn, Amazon, Google, Crunchbase, Walmart, and more without writing custom scrapers.
• Anti-Bot Bypass: Automatically handles Cloudflare, Akamai, PerimeterX, and DataDome protections with TLS fingerprinting and smart retries.
• Rotating Proxy Infrastructure: Built-in proxy rotation ensures high success rates without managing your own proxy pools.
• JavaScript Rendering: Full browser rendering for dynamic websites that rely on client-side JavaScript.
• Workflow Templates: Pre-built automation templates with n8n for common tasks like price monitoring, competitor tracking, and lead enrichment.
• Single API Key: One authentication key works across all endpoints with consistent JSON responses.

• Easy Integration: Clean documentation, a RESTful API structure, and consistent JSON responses simplify integration with Python, Node.js, PHP, and Go. Setup is efficient and often completed within minutes.
• Strong Automation Support: Works well with tools like n8n, Make, and Zapier, allowing users to build workflows for lead generation, data enrichment, and web monitoring.
• Fast Onboarding Experience: Users can begin immediately with a single API key and free trial credits, bypasssing complex setup or infrastructure requirements.
• Broad Data Coverage: Provides access to 50+ pre-built endpoints across platforms like Google, LinkedIn, Amazon, Crunchbase, and ecommerce sites, reducing the need for custom scrapers.
• Scalable Scraping Infrastructure: Built-in proxy rotation, automatic retries, and rendering capabilities effectively support medium-scale scraping workloads.
• GDPR and CCPA Aligned: Uses SSL encryption and focuses on open-data scraping practices designed to comply with major privacy regulations.

• Credits Don't Roll Over: Unused monthly credits expire at the end of each billing cycle, which can feel wasteful during slow months.
• Limited Free Tier: The free plan includes only a small number of credits (around 50), which is enough for testing but not for deep evaluation of higher-cost endpoints.
• Pricing Geared Toward Developers and Teams: Entry-level plans start at approximately $49 per month, making the service better suited for B2B applications. However, this price point may be considered high for individual users or hobbyist projects.
• Basic Dashboard and Analytics: Some users have noted that the monitoring tools, usage insights, and request history features are limited when compared to those offered by more established scraping platforms.

• Sales Prospecting & Lead Enrichment: Extract structured data from sources like LinkedIn, Crunchbase, company websites, and job boards to enrich CRM systems and build accurate prospect lists. Commonly used for automating lead enrichment and outbound workflows.
• E-Commerce Price Monitoring: Collect product listings, pricing, availability, and catalog data from platforms like Amazon, Walmart, Best Buy, Shopify, and other marketplaces for competitor tracking and retail intelligence.
• Market Research & Competitive Intelligence: Gather company profiles, funding data, industry signals, and business information from sources like Crunchbase, Trustpilot, and company databases to analyze competitors and market trends.
• SEO & Search Ranking Tracking: Extract Google Search, Bing, and SERP data (including rankings, results, and autocomplete insights) for SEO monitoring and keyword performance tracking across regions.
• Content, News & Social Data Collection: Pull structured data from sources like Google News, Reddit, Instagram, and other public platforms to build datasets for content aggregation, newsletters, and sentiment analysis workflows.