Spidra

Spidra is an AI-powered web scraping platform currently in Public Beta, built by a small team of engineers to eliminate the maintenance burden of traditional scrapers. It lets users point at any URL, describe what they want in plain text, and receive clean structured data in JSON or CSV — without writing CSS selectors or managing infrastructure. The platform handles JavaScript-heavy SPAs, CAPTCHA walls, login-protected pages, infinite scroll, and anti-bot systems automatically.

What It Is

Spidra sits in the AI web scraping category, offering both a no-code Playground and a full REST API with Python and Node.js SDKs. Its core job is turning any public or authenticated webpage into structured, machine-readable data through a single API call or a point-and-describe interface. The platform is positioned for developers, data teams, growth hackers, and agencies who need reliable, repeatable data extraction without building and maintaining custom scrapers.

How the AI Mode Works

Traditional scrapers break when a site redesigns because they rely on fixed CSS selectors. Spidra's AI Mode interprets the user's plain-text intent — for example, "get the product price" — and finds the relevant data even after layout changes. Users can also describe browser actions (click, scroll, wait) or use CSS selectors for more precise control. The AI discovery engine handles multi-level crawling, pagination, and infinite scrolling automatically.

Infrastructure and Anti-Bot Handling

Spidra manages the infrastructure layer that typically consumes developer time:

• CAPTCHA solving: Integrated solvers bypass Cloudflare, Turnstile, and other advanced systems with zero manual intervention.
• Global proxy network: Residential proxy rotation across 45+ countries with user-agent randomization to mimic real human behavior.
• Authenticated session handling: Users pass session cookies to access login-protected dashboards, private profiles, and member-only content.
• Async job polling: Supports scalable scraping workflows without blocking.

Workflow and Integrations

Extracted data can be delivered directly to Google Sheets, Airtable, Slack, Discord, webhooks, or custom API endpoints. Users can save scrape configurations as Presets and schedule them to run daily, weekly, or monthly. The platform also supports chaining API calls — scraping URLs extracted from previous scrapes — enabling multi-step enrichment pipelines. Output formats include JSON, CSV, and screenshots.

Use Cases

The platform targets several concrete data workflows:

• Lead generation: Extracting emails, phone numbers, and business details from directories like Eventbrite or Google Maps.
• Price monitoring: Tracking competitor pricing across Amazon and Shopify stores with real-time alerts.
• Market research: Analyzing reviews and sentiment from G2, Trustpilot, and Reddit at scale.
• Data enrichment: Chaining scrapes to follow links from directories to profiles to websites for comprehensive business intelligence.
• Real-time monitoring: Watching job listings, funding rounds, and company announcements.

Current Status

Spidra is live in Public Beta. The About page states the platform has scraped over 10 million pages and maintains a 99.9% uptime SLA, per vendor-published figures. The team publishes a public changelog and status page, and according to the About page, ships feature requests within 48 hours in some cases. Free tools (Website to Markdown, Website to JSON, Website Screenshot) are available without sign-up.