{"id":7807,"date":"2026-07-16T06:07:24","date_gmt":"2026-07-16T06:07:24","guid":{"rendered":"https:\/\/kanhasoft.com\/blog\/?p=7807"},"modified":"2026-07-16T07:06:29","modified_gmt":"2026-07-16T07:06:29","slug":"scale-web-scraping-10-million-pages-per-day","status":"publish","type":"post","link":"https:\/\/kanhasoft.com\/blog\/scale-web-scraping-10-million-pages-per-day\/","title":{"rendered":"How to Scale Web Scraping to 10 Million Pages per Day"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Scaling a scraper from a few thousand pages to 10 million pages per day is not mainly a coding challenge. It is a system-design and operations challenge.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At that volume, one slow website, duplicated URL pattern, oversized response, blocked worker, or database bottleneck can affect hundreds of thousands of jobs.<\/span><\/p>\n<p><a href=\"https:\/\/kanhasoft.com\/web-scraping-services.html\"><b>Scalable web scraping<\/b><\/a><b> requires a distributed pipeline that separates URL scheduling, downloading, parsing, validation, storage, and delivery.<\/b><span style=\"font-weight: 400;\"> It also needs domain-level rate controls, retry policies, duplicate prevention, data-quality checks, and monitoring that shows whether useful records; not merely pages; are being collected.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This article explains the architecture and decisions behind a high-volume scraping system without assuming that every page needs a browser or that adding more servers will solve every performance problem.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">This article is especially useful for:<\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">CTOs and engineering leaders planning data collection platforms<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ecommerce companies monitoring prices, products, and stock<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Market intelligence and analytics businesses<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data teams collecting listings from many public sources<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SaaS companies building data extraction products<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Businesses evaluating a large-scale web scraping partner<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">Quick Answer<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">To scrape 10 million pages per day reliably, build a distributed and queue-driven pipeline.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The system should include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A URL frontier that prioritizes and deduplicates crawl jobs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Domain-aware scheduling and rate limits<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lightweight HTTP fetchers for most pages<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Browser workers only for pages that truly require JavaScript<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Independent parsing and validation services<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Durable queues with retry and dead-letter handling<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Raw and normalized storage<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Metrics for throughput, failure rates, freshness, and data accuracy<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Idempotent processing so duplicate messages do not create duplicate records<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Ten million pages per day equals an average of about <\/span><b>116 successful page fetches per second<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, production capacity should be higher than the average. Traffic is uneven, requests fail, jobs are retried, and some websites impose stricter limits. The correct capacity depends on response size, target diversity, JavaScript usage, extraction complexity, and permitted request rates.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Start With the Throughput Math<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">\u201cTen million pages\u201d sounds like one requirement. In practice, it hides several different workloads.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A page may be:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A 30 KB JSON response<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A 100 KB static HTML document<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A 2 MB product page with embedded data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A JavaScript application that loads many assets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A PDF that requires document parsing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A page that takes five seconds before useful data appears<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">If an average response contains 75 KB, 10 million responses represent about <\/span><b>750 GB of downloaded content per day<\/b><span style=\"font-weight: 400;\">. At 500 KB per response, that rises to approximately <\/span><b>5 TB per day<\/b><span style=\"font-weight: 400;\">, before accounting for retries, headers, images, scripts, or browser assets.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Therefore, capacity planning should answer four questions:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How many successful pages must be processed?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What is the average response size?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What percentage requires browser rendering?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How quickly must the final data become available?<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">A daily batch completed within 24 hours has different requirements from an inventory-monitoring system that must update priority products every 15 minutes.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/10-million-pages-per-day-web-scraping-throughput-infographic.png\" alt=\"10 million pages per day web scraping throughput infographic\" width=\"1499\" height=\"1049\" class=\"aligncenter size-full wp-image-7810\" srcset=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/10-million-pages-per-day-web-scraping-throughput-infographic.png 1499w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/10-million-pages-per-day-web-scraping-throughput-infographic-300x210.png 300w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/10-million-pages-per-day-web-scraping-throughput-infographic-1024x717.png 1024w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/10-million-pages-per-day-web-scraping-throughput-infographic-768x537.png 768w\" sizes=\"auto, (max-width: 1499px) 100vw, 1499px\" \/><\/p>\n<h2><span style=\"font-weight: 400;\">What Scalable Web Scraping Architecture Looks Like<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A high-volume crawler should not behave like one large script.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It should behave like a data platform with independent components.<\/span><\/p>\n<table>\n<thead>\n<tr>\n<th>\n<p style=\"text-align: left;\"><strong>Component<\/strong><\/p>\n<\/th>\n<th>\n<p style=\"text-align: left;\"><strong>Primary responsibility<\/strong><\/p>\n<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: left;\"><span style=\"font-weight: 400;\">URL discovery<\/span><\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Finds or receives target URLs<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">URL frontier<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Prioritizes, schedules, and deduplicates work<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Message queue<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Distributes jobs to available workers<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Fetcher workers<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Download HTML, JSON, files, or API responses<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Browser workers<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Render selected JavaScript-dependent pages<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Parser services<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Extract required fields<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Validation layer<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Checks completeness, types, and business rules<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Raw storage<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Preserves source responses for debugging or reprocessing<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Structured storage<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Holds normalized business data<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Delivery layer<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Exports data through files, databases, APIs, or dashboards<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Monitoring<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Tracks system health, crawl progress, and data quality<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Separating these stages prevents one slow operation from blocking the entire pipeline.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, a response can be downloaded once and stored. If the extraction rules later change, the parsing service can reprocess that saved response without requesting the page again.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Large-Scale-Web-Scraping-Architecture.png\" alt=\"Large-Scale Web Scraping Architecture\" width=\"1499\" height=\"1049\" class=\"aligncenter size-full wp-image-7809\" srcset=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Large-Scale-Web-Scraping-Architecture.png 1499w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Large-Scale-Web-Scraping-Architecture-300x210.png 300w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Large-Scale-Web-Scraping-Architecture-1024x717.png 1024w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Large-Scale-Web-Scraping-Architecture-768x537.png 768w\" sizes=\"auto, (max-width: 1499px) 100vw, 1499px\" \/><\/p>\n<h2><span style=\"font-weight: 400;\">Build a Domain-Aware URL Frontier<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The URL frontier is the control center of a large-scale web scraping system.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It decides what should be crawled, when it should run, and which worker should receive it.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A useful frontier stores information such as:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Canonical URL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Target domain<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Page or record type<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Priority<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Last successful crawl<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Desired refresh frequency<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Retry count<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Expected parser<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Customer or dataset identifier<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Crawl status<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Do not place every target in one undifferentiated queue.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A large marketplace should not consume all available workers while smaller websites wait. Likewise, one failing domain should not create millions of repeated retry jobs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Partition work by domain, customer, geography, page type, or priority. Then apply concurrency and delay limits to each partition.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Use the Lightest Fetching Method That Works<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">One of the fastest ways to make large-scale web scraping expensive is to open a browser for every page.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A practical extraction order is:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Official or permitted API<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">JSON or GraphQL response used by the page<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Embedded structured data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Static HTML request<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Headless browser rendering<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Document-specific extraction for PDFs or files<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Scrapy uses a non-blocking asynchronous architecture, which makes it suitable for handling many network requests without assigning one operating-system thread to every request.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Browser tools such as Playwright remain valuable for JavaScript-rendered pages. However, browser workers consume more CPU and memory. They also download scripts, styles, fonts, and other assets that may not be needed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A strong system routes only the necessary pages to the browser pool.<\/span><\/p>\n<table>\n<thead>\n<tr>\n<th>\n<p style=\"text-align: left;\"><strong>Page type<\/strong><\/p>\n<\/th>\n<th>\n<p style=\"text-align: left;\"><strong>Recommended approach<\/strong><\/p>\n<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Static product or listing page<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">HTTP client or Scrapy<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Data available in page JSON<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Parse the structured response<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">JavaScript required for content<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Playwright or another browser worker<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Login or multi-step workflow<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Controlled browser session, where authorized<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Text-based PDF<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">PDF parser<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Scanned document<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">OCR or document extraction workflow<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span style=\"font-weight: 400;\">Control Concurrency Per Website<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Global concurrency is not enough.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A crawler may be able to process 300 requests per second across 500 websites without placing heavy demand on any one source. Sending the same rate to one website would be very different.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Use per-domain controls for:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Concurrent requests<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Minimum request delay<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Retry timing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Daily request allowance<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Error-rate thresholds<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Temporary circuit breaking<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Scrapy\u2019s AutoThrottle can adjust crawling speed based on observed latency while respecting configured concurrency and delay settings.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, automatic throttling is not a substitute for explicit policies. Priority commercial sources may have agreed API limits. Smaller websites may require much lower rates.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The goal is stable collection, not the highest possible request count.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Make Every Job Safe to Retry<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Distributed systems deliver duplicate work.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A worker may complete a job but fail before acknowledging it. The queue then makes the message available again. Standard Amazon SQS queues, for example, provide at-least-once delivery, so consumers must be prepared to receive a message more than once.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Each crawl job should have a stable identifier based on fields such as:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Dataset<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Canonical URL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Crawl window<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Target record<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Parser version<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Before writing a result, the pipeline should check whether that job has already been processed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Use upserts, unique database constraints, content hashes, or idempotency keys. Also keep retries separate from new work so a failing source cannot overwhelm the main queue.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">After a defined number of attempts, move the job to a dead-letter queue for investigation.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Apply Backpressure Before the System Overloads<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Downloading can be faster than parsing. Parsing may be faster than database writes. Browser workers may also fall behind during peak periods.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Without backpressure, queues grow until storage, memory, or database connections become exhausted.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Monitor queue depth at every stage:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Waiting to download<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Waiting for browser rendering<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Waiting to parse<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Waiting for validation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Waiting to write<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Waiting for delivery<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">When one stage falls behind, reduce upstream production or add capacity to the constrained stage.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Container platforms can add worker replicas based on load. Kubernetes Horizontal Pod Autoscaler can adjust replica counts using observed metrics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For scraping pipelines, useful scaling signals may include queue depth, oldest-job age, pages processed per minute, or parser latency. CPU alone does not show whether the pipeline is meeting its data-freshness target.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Keep Raw Data Separate From Business Data<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Trying to store every raw response and every normalized record in one relational database creates avoidable pressure.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A practical storage design uses:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Object storage for compressed HTML, JSON, PDFs, and screenshots<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PostgreSQL or another relational database for normalized records<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A search engine for full-text or faceted discovery<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">An analytical warehouse for reporting and historical comparisons<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Redis or another fast store for short-lived locks and deduplication<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Raw storage provides an audit trail and supports reprocessing. Structured storage serves the application.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also define retention rules. Keeping every response forever may increase cost without increasing business value.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Web Scraping Performance Optimization Requires Better Parsers<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Network speed is only one part of performance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Slow selectors, repeated regular expressions, unnecessary HTML traversal, large in-memory objects, and row-by-row database inserts can become major bottlenecks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Improve parser performance by:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Extracting only required fields<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Parsing structured JSON before traversing HTML<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Compiling reusable patterns<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Avoiding repeated DOM searches<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Processing responses as streams where appropriate<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Writing records in batches<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reusing database connections<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Compressing raw responses<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Separating CPU-heavy document extraction from HTTP workers<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Measure each stage before optimizing it. A faster parser provides little value if 70% of the workload is waiting on browser rendering.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Monitor Data Quality, Not Just Page Counts<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A dashboard that reports \u201c10 million pages completed\u201d can still hide a failed project.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Perhaps pages returned consent screens, empty templates, changed layouts, or incorrect currencies.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Track business-level metrics such as:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Records extracted<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Required-field completion<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Product match rate<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Price and currency validity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Duplicate-record rate<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Schema-change alerts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Freshness by source<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Percentage of pages with zero useful records<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Differences from previous crawl values<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Use automated validation, but keep sample-based human review for important datasets.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In practice, parser drift is often quiet. The crawler continues returning <a href=\"https:\/\/en.wikipedia.org\/wiki\/HTTP\">HTTP<\/a> 200 responses while the useful data has moved to a different field.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/High-Volume-Web-Scraping-Reliability-and-Monitoring.png\" alt=\"High-Volume Web Scraping Reliability and Monitoring\" width=\"1499\" height=\"1049\" class=\"aligncenter size-full wp-image-7811\" srcset=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/High-Volume-Web-Scraping-Reliability-and-Monitoring.png 1499w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/High-Volume-Web-Scraping-Reliability-and-Monitoring-300x210.png 300w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/High-Volume-Web-Scraping-Reliability-and-Monitoring-1024x717.png 1024w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/High-Volume-Web-Scraping-Reliability-and-Monitoring-768x537.png 768w\" sizes=\"auto, (max-width: 1499px) 100vw, 1499px\" \/><\/p>\n<h2><span style=\"font-weight: 400;\">Practical Example: Marketplace Rank Tracking at Scale<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Kanhasoft developed a Walmart product-rank tracking system for a US ecommerce analytics company.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The system processed approximately 300,000 keywords daily, tracked organic and sponsored rankings across up to five pages per keyword, and stored millions of ranking records. Its architecture used a custom Python spider, Django, Celery, PostgreSQL, scheduled jobs, parallel task execution, and AWS infrastructure.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This project illustrates an important scaling lesson: divide the workload into repeatable jobs with clear identifiers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The system did not treat the daily crawl as one enormous task. Keywords and pages could be scheduled, processed in parallel, retried, and stored independently. That design limits the effect of individual failures and makes crawl progress measurable.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Respect Access Rules, Privacy, and Legal Boundaries<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Scale increases responsibility.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Review the source\u2019s terms, permitted access methods, robots.txt instructions, privacy obligations, intellectual-property concerns, and contractual restrictions before collecting data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">RFC 9309 defines the Robots Exclusion Protocol used by service owners to communicate crawler access preferences.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Robots.txt is not a complete legal analysis. Public visibility does not automatically remove privacy, copyright, database, or contractual concerns.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Do not access private accounts, defeat authentication, collect restricted personal data, or ignore explicit legal limitations. For high-volume commercial collection, seek qualified legal and privacy advice for the relevant jurisdictions.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">A Practical Scaling Roadmap<\/span><\/h2>\n<table>\n<thead>\n<tr>\n<th>\n<p style=\"text-align: left;\"><strong>Current stage<\/strong><\/p>\n<\/th>\n<th>\n<p style=\"text-align: left;\"><strong>Recommended next step<\/strong><\/p>\n<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">One script on one server<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Separate scheduling, fetching, and storage<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Several independent spiders<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Add a shared queue and job registry<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Growing retry failures<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Introduce idempotency and dead-letter queues<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Browser costs increasing<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Route only selected pages to browser workers<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Database slowing down<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Batch writes and separate raw storage<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Unclear data accuracy<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Add schema validation and quality sampling<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Uneven workload<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Partition by domain and priority<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Frequent operational incidents<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Add dashboards, alerts, and runbooks<\/span><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Approaching millions of pages<\/span><\/p>\n<\/td>\n<td>\n<p style=\"text-align: left;\"><span style=\"font-weight: 400;\">Load-test each pipeline stage independently<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Move in measured stages. A complex microservices architecture is unnecessary for a small crawl. At 10 million pages per day, however, clear component boundaries become valuable.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Planning a High-Volume Web Scraping System?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Kanhasoft helps businesses evaluate crawl volume, target-site complexity, refresh frequency, browser requirements, data quality, delivery formats, and infrastructure cost before development begins.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Our <\/span><a href=\"https:\/\/kanhasoft.com\/web-scraping-services.html\"><span style=\"font-weight: 400;\">custom web scraping services<\/span><\/a><span style=\"font-weight: 400;\"> cover distributed crawlers, marketplace monitoring, product intelligence, API and JSON extraction, PDF processing, data validation, and automated delivery pipelines. Businesses can also review our <\/span><a href=\"https:\/\/kanhasoft.com\/casestudies.html\"><span style=\"font-weight: 400;\">web scraping and data extraction case studies<\/span><\/a><span style=\"font-weight: 400;\"> to understand how similar systems have been structured.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A focused technical discovery can identify the real bottleneck before infrastructure is added unnecessarily.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Final Words<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Scalable web scraping is not achieved by increasing concurrency until the crawler reaches 10 million requests.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It requires a controlled system that understands domains, priorities, retries, data ownership, storage, and quality. Lightweight requests should handle most pages. Browser workers should remain selective. Queues should absorb uneven demand, while idempotent jobs and dead-letter handling protect the pipeline from repeated failures.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Most importantly, measure useful data rather than raw page counts.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A system that collects 10 million pages but cannot explain missing records, duplicate results, unexpected costs, or delayed sources is not operating at scale. It is only operating at volume.<\/span><\/p>\n<p><a href=\"https:\/\/kanhasoft.com\/contact-us.html\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Ready-to-Scale-Your-Web-Scraping-Project.png\" alt=\"Ready to Scale Your Web Scraping Project\" width=\"1000\" height=\"250\" class=\"aligncenter size-full wp-image-7812\" srcset=\"https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Ready-to-Scale-Your-Web-Scraping-Project.png 1000w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Ready-to-Scale-Your-Web-Scraping-Project-300x75.png 300w, https:\/\/kanhasoft.com\/blog\/wp-content\/uploads\/2026\/07\/Ready-to-Scale-Your-Web-Scraping-Project-768x192.png 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scaling a scraper from a few thousand pages to 10 million pages per day is not mainly a coding challenge. It is a system-design and operations challenge. At that volume, one slow website, duplicated URL pattern, oversized response, blocked worker, or database bottleneck can affect hundreds of thousands of jobs. <a href=\"https:\/\/kanhasoft.com\/blog\/scale-web-scraping-10-million-pages-per-day\/\" class=\"more-link\">Read More<\/a><\/p>\n","protected":false},"author":7,"featured_media":7813,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[281],"tags":[],"class_list":["post-7807","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-web-scraping"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Scalable Web Scraping: How to Process 10 Million Pages per Day<\/title>\n<meta name=\"description\" content=\"Learn how to design scalable web scraping for 10 million pages daily using distributed workers, adaptive crawling, 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