Enterprise E-Commerce Crawl and GraphQL Extraction Engine
Built large scale crawling infrastructure to extract 1.2M+ HTML pages and 5M+ GraphQL API responses from an e-commerce platform with anti-bot protection handling and data integrity validation. Client needed complete data intelligence extraction from a large e-commerce platform including HTML pages, API responses, and search query execution results at massive scale
Html Pages Crawled
Graphql Requests
Validated Urls
Processing Speed
Client needed complete data intelligence extraction from a large e-commerce platform including HTML pages, API responses, and search query execution results at massive scale.
Designed distributed hybrid crawling architecture combining URL discovery engines, HTTP request extraction, and API payload logging pipelines.
After implementation, Fully automated crawling engine with integrity checks and large scale storage pipeline.
Behind the Scenes
How the system moved from problem to controlled execution.
Problem
Client needed complete data intelligence extraction from a large e-commerce platform including HTML pages, API responses, and search query execution results at massive scale. Need to crawl entire website recursively from discovered URLs. GraphQL requests were dynamically generated per product and page type. Massive scale requirement (1M+ pages + millions of API calls). Database storage of raw HTML in compressed format.
System Built
Designed distributed hybrid crawling architecture combining URL discovery engines, HTTP request extraction, and API payload logging pipelines. Workflow covered: Extract URLs recursively from category, product, and composed product pages; Queue discovered URLs for crawling; Capture raw HTML and compress before database storage; Monitor GraphQL network requests per page; Store GraphQL payloads and responses.
What Changed
1.25M+ hTML Pages Crawled. 5M+ graphQL Requests Captured. 864K+ validated Product + Category URLs. 100K/day processing Speed. Recursive URL discovery from HTML source. Parallel crawling pipeline design.
Before / After
What changed after the system was rebuilt.
HTML pages crawled
Before
0
After
1.25M+
GraphQL requests captured
Before
No API monitoring
After
5M+ captured
URL validation
Before
No validation
After
864K+ validated URLs
Processing speed
Before
N/A
After
100K/day
Delivery Scope
What was included in the system delivery.
Recursive website crawling architecture
GraphQL request and response capture pipeline
Compressed HTML storage
Duplicate URL skipping
Crawl completeness and URL validation logic
Controls
Checks built in to keep the workflow reliable.
Duplicate URLs are skipped automatically
Raw HTML is compressed before database storage
GraphQL payloads and responses are stored together for traceability
Crawl queues track discovered and processed URLs
Validation checks support crawl completeness review
Tools & Stack
Tools used to build, connect, and deliver this system
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