scrapers.do
Orchestrate Hundreds of Scrapers in Parallel
Distributed scraping across 300+ edge locations with intelligent load balancing, automatic failover, and centralized monitoring. Scrape multiple sites simultaneously, aggregate results, and detect changes in real-time with <500ms P99 latency per site.
import { Scrapers } from 'scrapers.do' // Orchestrate hundreds of scrapers in parallelconst fleet = Scrapers({ concurrency: 50, rateLimits: { perDomain: 10 } }) fleet.every.day(async $ => { const sites = ['amazon.com', 'walmart.com', 'target.com'] const results = await fleet.scrapeAll(sites, { selector: '.product' }) $.Analytics.detect.PriceChanges(results).alert.OnChanges()})
Frequently asked questions
Run unlimited scrapers in parallel with intelligent load balancing across 300+ edge locations. Default concurrency of 50 scrapers per fleet, configurable up to 1000+ for enterprise. Each scraper operates independently with isolated proxy pools, rate limits, and error handling.
Automatic distribution based on site latency, proxy availability, and rate limit status. Scrapers dynamically route to optimal edge locations—European sites scrape from EU regions, Asian sites from APAC, etc. Failed scrapers automatically failover to healthy instances with zero data loss.
Yes. Built-in aggregation, deduplication, and normalization across different site schemas. Compare prices, detect changes, merge datasets, and analyze trends across multiple sources. Full-text search, fuzzy matching, and schema mapping for heterogeneous data.
Automatic retry with exponential backoff, proxy rotation, and browser fingerprint changes. Failed scrapers quarantine without affecting the fleet. Detailed error logs, success rate metrics, and alerts when success rate drops below threshold. Manual replay of failed scrapes available.
Real-time dashboard shows per-scraper metrics: success rate, latency, data quality, proxy health, and rate limit status. Automatic alerts for anomalies, downtime, or schema changes. Historical analytics track scraping trends and optimize performance over time.