Get clean, production-ready data from any website.

WhatAScraper delivers one-time and continuous scraping solutions for marketplaces, travel sites, social platforms, and hard targets. Data lands in your cloud bucket in JSON, CSV, and any other format your systems require.

Skip the infrastructure

Building scrapers in-house means fighting CAPTCHAs, patching selectors, and managing proxies — months of work before you see a single row of usable data. We take that off your plate and deliver clean, structured feeds from day one.

Fully managed service. We build, run, and maintain every part of your data pipeline — no engineering required on your side.
Hard targets included. Shopee, Booking, complex SPAs, and other protected sites are part of our standard offering.
Clean, structured delivery. Data arrives ready to use in your preferred schema and format, straight to your cloud bucket.
Reliable and adaptive. We monitor target changes and update scrapers fast, so your pipeline never goes stale.

From target to your cloud bucket, end to end.

Scrape

Marketplaces, social platforms, travel sites, and hard targets

Format

.json.csv.xml.parquet.sql

Deliver

AWS S3Google CloudAzure BlobCloudflare R2S3-compatible

Target library.

Request a sample dataset for any target — we'll send it within one business day.

Airbnb

Price Monitoring, Market Analysis, Trend Research, Competitor Benchmarking, Location Intelligence

Details

AliExpress

Price Monitoring, Dropshipping Sourcing, Trend Analysis, Review Insights, Competitor Benchmarking, Market Research

Details

Alibaba

Supplier Sourcing, Price Benchmarking, Market Intelligence, Competitive Analysis, Lead Generation

Details

Amazon

Price Monitoring, Trend Analysis, Review Sentiment, Inventory Tracking, Competitor Intelligence, Lead Generation

Details

Apple

Competitor Benchmarking, Launch Monitoring, Price Tracking, Spec Research, Trend Analysis

Details

Baidu

SEO Monitoring, Trend Analysis, Competitor Intelligence, Content Strategy, Local Research

Details

Binance

Price Monitoring, Market Analysis, Portfolio Tracking, Competitor Benchmarking, Algo Trading, Sentiment Research

Details

Costco

Price Monitoring, Inventory Analysis, Product Research, Deal Tracking, Trend Insights, Competitor Intel

Details
Browse all 325targets in the directory →

Working with WhatAScraper

A small, focused team of scraping engineers becomes an extension of yours. With WhatAScraper, you get a partner — not just a vendor.

Getting started

From day one we run a fast onboarding: define scope, align on fields and delivery format, ship sample data, and launch your production feeds.

Constant alignment

A single point of contact for project status, updates, and requests — plus direct access to your team via Slack or scheduled check-ins.

Speed to value

We prioritize fast iteration and early data delivery so you can validate, refine, and move into production with confidence.

Watch the data roll in

Production-ready data, delivered consistently and built to scale with you.

Start Your Project

Transparent pricing with custom volume tiers.

SetupFrom $200Target setup, extraction mapping, delivery config
MaintenanceFrom $100/moMonitoring, selector updates, scraper upkeep
VolumeCustom / 1k pagesPriced by page complexity and anti-bot intensity
  • 100% success-rate delivery guarantee on agreed scope
  • Priority support and fast adaptation to site changes
  • Data quality checks before each batch delivery

Frequently asked questions

Managed web scraping is a fully outsourced data collection service. Instead of building and maintaining scrapers, proxies, and anti-bot infrastructure in-house, you work with a provider who handles the entire pipeline — from extraction and cleaning to structured delivery in your preferred format and schedule.

Outsourcing makes sense when your team lacks dedicated scraping expertise, when target sites frequently block or change structure, when you need large-scale or ongoing data feeds, or when time-to-value is critical. Building in-house can work for small one-off projects, but long-term pipelines require constant maintenance, proxy management, and anti-bot engineering that quickly become expensive.

We handle a wide range of targets including e-commerce marketplaces (Amazon, eBay, Shopee), travel platforms (Booking), real estate sites (Zillow, Redfin), social and video platforms (YouTube, TikTok, Reddit), app stores, and JavaScript-heavy SPAs with complex anti-bot protections. If the data is publicly accessible on the web, we can build a reliable pipeline for it.

We design each scraper around the specific defenses of each target. This includes rotating proxies, browser fingerprint management, CAPTCHA handling, request pacing, and session management. When a target updates its defenses, we adapt the pipeline — that maintenance is included in the service.

We deliver data in JSON, CSV, XML, Parquet, SQL dumps, or any custom schema you need. Data is shipped directly to your cloud storage — AWS S3, Google Cloud Storage, Azure Blob, Cloudflare R2, or any S3-compatible endpoint — on your naming convention, partition logic, and schedule.

Our goal is to start delivering data within 5 business days of final specification agreement. Larger multi-site programs with complex schemas may take longer to fully scope and implement, but we provide clear timelines during the scoping phase.

Setup starts from $200 per target, with optional maintenance from $100/month for monitoring, parser updates, and general upkeep. Crawl volume is priced per 1,000 pages based on target complexity and anti-bot intensity. We keep pricing transparent — no hidden fees or surprise charges.

Both are available. You can request a one-off data extraction for immediate analysis, or set up a recurring pipeline with daily, weekly, or custom refresh cadences. There are no long-term lock-in contracts — engagement terms are flexible and based on your project needs.

Every delivery goes through automated validation against your defined schema, field completeness checks, deduplication, and format verification. We monitor target sites for structural changes and update scrapers proactively, so your data pipeline stays reliable without intervention from your side.