Large Scale Web Crawling Services

Crawl the web at any scale — millions of URLs, zero servers to manage

Discover and download web pages across thousands of domains with our managed, distributed crawler. Built‑in politeness, duplicate filtering, and incremental recrawling keep your dataset fresh — while you stay focused on the data, not the infrastructure.

Trusted by teams that need web‑scale datasets
500M+URLs crawled monthly
Auto‑scalingCrawl fleet
100%Politeness compliance
crawl-plan.yaml
# Distributed crawl configuration
domains: "news-sites.txt"
max_urls: 50000000
politeness_delay: "2s per domain"
dedup: simhash + url‑canonicalization
delivery: "s3://acme‑crawls/news/"
🌐 Frontier queue
12.4M URLs queued
Politeness delay
2s per domain active

Trusted data from leading platforms

Expedia Shopee Tripadvisor Amazon Flipkart Swiggy Zepto Blinkit Booking Airbnb MakeMyTrip Expedia Shopee Tripadvisor Amazon Flipkart Swiggy Zepto Blinkit Booking Airbnb MakeMyTrip
Overview

Massive crawling, simplified

Large‑scale web crawling is the automated process of discovering and fetching web pages at immense volume — from a single domain to the entire open web. Our managed crawler handles URL discovery (sitemaps, RSS feeds, link following), enforces politeness policies, deduplicates content, and delivers either raw HTML or structured extracts to your data lake. No server clusters to maintain, no Scrapy config to debug, no queue management.

Whether you need a fresh snapshot of 10,000 news sites every hour, or a deep crawl of an entire industry vertical, our infrastructure scales horizontally to match your throughput — automatically — while staying friendly to the sites you crawl.

  • Discover URLs from sitemaps, RSS, and link graphs
  • Respects robots.txt and site‑specific crawl delays
  • Duplicate detection via SimHash and canonical URL mapping
  • Incremental recrawling with ETag/Last‑Modified support
  • Delivered to S3, Snowflake, BigQuery, or your own storage
Business challenges

Why building your own crawler becomes a full‑time job

What starts as a simple script quickly turns into an ops nightmare when scale, politeness, and data quality collide.

01

URL discovery is a fractal problem

Finding every page on a site requires parsing sitemaps, following links, handling infinite scroll, and respecting crawl budgets. A basic wget misses most of the content.

02

Politeness at scale is hard

Overloading a small site can get your IP banned. Juggling delays across thousands of domains requires a sophisticated, distributed scheduler — not a simple sleep() call.

03

Duplicate content wastes storage and compute

Without near‑duplicate detection, up to 30% of crawled pages are identical or boilerplate. Our SimHash and canonical‑URL filters strip them before delivery.

Our solution

A production‑grade crawler you never have to build

Every feature below runs inside our infrastructure, maintained 24/7.

Intelligent URL discovery

Ingest seed lists, sitemaps, RSS feeds, and link‑frontier traversal to build a comprehensive crawl frontier — automatically expanding to cover every relevant page.

Politeness & compliance engine

Respects robots.txt, Crawl‑Delay, and site‑specific rate limits. Concurrency and delays are enforced per domain, and we use diverse IP pools to spread load.

Near‑duplicate detection

SimHash and canonical‑URL filtering remove boilerplate, identical pages, and mirrors — reducing storage costs and keeping your dataset signal‑rich.

Incremental recrawl

After the initial crawl, we re‑fetch only pages that have changed (based on ETag, Last‑Modified, or content hash) — keeping your dataset fresh without re‑crawling the entire web.

crawl-frontier.json
// Crawl frontier state
{
  "queued_urls": 12400000,
  "discovered_today": 820000,
  "duplicates_removed": 142000,
  "politeness_mode": "per‑domain (2s delay)"
}
Process

From seed URLs to a complete dataset

1

Seed & scope definition

We agree on seed domains, crawl depth, exclusions, and politeness settings — producing a crawl specification document.

2

Crawler configuration & dry run

Our team provisions the crawl infrastructure, runs a limited test, and delivers a sample of fetched pages for your review.

3

Full‑scale crawl execution

The crawl runs at your target throughput. Data is delivered incrementally to your storage, with live monitoring of frontier size and success rate.

4

Incremental refresh & ongoing management

We switch to scheduled incremental recrawls. Our team monitors site changes, updates politeness rules, and ensures data freshness.

What you receive

Deliverables at each stage of a crawl project

1
Week 1

Crawl specification & seed list

A document defining the seed URLs, crawl rules, politeness constraints, and output format — reviewed and approved by your team.

2
Week 2

Sample crawl dataset (10K pages)

A representative subset of crawled pages delivered in your chosen format and location. You validate data quality and completeness.

3
Week 3

Full‑scale crawl + delivery runbook

All target URLs crawled and delivered. A runbook covers incremental refresh cadence, duplicate handling, and politeness settings.

Ongoing

Weekly crawl health report

Summary of URLs discovered, fetched, deduplicated, and any site‑side changes that required politeness adjustments — proactively shared.

500M+
URLs crawled monthly
99.9%
Crawl success rate
30%
Average duplicate reduction
via SimHash + canonical URL
<3 wks
Average pipeline delivery
Who needs large‑scale crawling

Teams that build products or models on web data

📰

News & Media Monitoring

Crawl 100,000 news domains every few minutes — feed raw HTML into NLP pipelines for sentiment and trend analysis.

🤖

AI & Machine Learning

Gather massive training corpora from the open web — filtered, deduplicated, and delivered in a clean, ML‑ready format.

🔍

Search & Discovery

Power your own search index by crawling relevant verticals — fresh, comprehensive, and compliant with robots.txt.

📊

Competitive Intelligence

Monitor competitors' entire websites — track content changes, new pages, and SEO updates automatically.

Why choose managed crawling

Large‑scale crawling vs. DIY approaches

Capability Managed Large‑Scale Crawling Self‑Built Crawler (Scrapy, etc.) Self‑Serve API (no discovery)
URL discovery (sitemaps, RSS, links)±
Politeness & robots.txt compliance±
Near‑duplicate detection
Incremental recrawl support
Infrastructure to manageNoneFull clusterNone
Time to first complete crawl2–3 weeksMonthsN/A (no discovery)
What crawling users say

“Our crawl coverage doubled, and our infrastructure costs halved”

★★★★★

"We needed to crawl 50,000 news sites every 15 minutes. Building that in‑house would have required a team of 3 and a fleet of servers. ScraperScoop had it running in two weeks — and the data quality is better than our old Scrapy cluster."

NC
Head of Data EngineeringNewsCorp WebWatch
★★★★★

"The SimHash deduplication alone saved us 40 TB of storage. We didn't realise how much boilerplate we were downloading — now our dataset is clean and our training costs have dropped."

MC
VP of AIMegaCrawl Inc
★★★★★

"The politeness engine is what sold us. We'd been blocked by several sites using our own crawler. Their team set domain‑specific delays and proxy pools — now we crawl everything without a single block."

DH
CTODataHarvest AI
Integrations

Crawled data delivered to your storage — no extra tools needed

Raw HTML, WARC files, or structured extracts — delivered directly to your cloud storage or warehouse.

🗄️
Amazon S3
❄️
Snowflake
🔷
BigQuery
🐘
PostgreSQL
🔗
Webhooks (JSON)
📦
WARC / HTML / Parquet

Get a scoped estimate for your crawl project

Share your seed domains and the crawl depth — we'll return a cost and timeline within two business days.

Frequently asked

Questions about large‑scale crawling

Large‑scale web crawling is the automated discovery and downloading of web pages at massive volume — millions of URLs per day — across hundreds or thousands of domains. Our managed crawler handles URL discovery (sitemaps, links, RSS), politeness (robots.txt, crawl delays), deduplication, and incremental recrawling without you ever provisioning a server.
Crawling focuses on discovering and fetching pages at scale, optionally extracting data. Scraping is more targeted — extracting specific fields from known pages. Our crawling service can feed raw HTML into your own extraction pipeline, or we can integrate structured extraction as part of the crawl.
Every crawl respects robots.txt directives, site‑specific crawl delays, and our own configurable politeness settings. We distribute requests across a diverse proxy pool and throttle concurrency per domain to mimic organic traffic patterns.
Yes. After the initial full crawl, we can schedule incremental recrawls that only fetch pages that have changed (based on ETag, Last‑Modified, or content hash). This keeps your dataset current without re‑downloading everything.
Raw HTML or structured data is delivered directly to your S3 bucket, Snowflake, BigQuery, or any storage you control — organised by domain, crawl date, or any other scheme you define.

Your first million URLs crawled — free, no commitment

Send us a list of seed domains and we'll crawl a sample and deliver the data to your S3 bucket. See the quality, coverage, and deduplication before you commit.

Most crawl pipelines deliver the first full dataset within 2–3 weeks.

Politeness compliant Near‑duplicate detection Managed infrastructure
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