Web Crawler Proxies

A crawler working through thousands of pages gets blocked fast when every request leaves from the same IP. Our residential, rotating, and datacenter proxy pools spread those requests across a wide IP pool, so your crawl runs uninterrupted while you keep to robots.txt.

  • IP Ban & Rate-Limit Protection
  • Geo-Targeting Across 194 Countries
  • Residential, Rotating & Datacenter Pools
  • Adjustable Wait Between Requests (Politeness Delay)
  • HTTPS & SOCKS5 Protocol Support
  • Self-Service Panel & Instant Delivery
Why Use a Proxy?

Why does a web crawler need a proxy?

Keep crawling without IP bans or blocks

Hundreds of back-to-back requests from a single IP are exactly what a target server's security systems are built to catch. Spreading those requests across a wide IP pool removes the tell-tale pattern of abnormal traffic arriving from one point.

Get past rate limits

Most servers allow only a set number of requests per minute from the same IP. Crawl traffic distributed across different IPs keeps every address under that ceiling while your combined throughput climbs far higher.

Keep your politeness delay without losing speed

The wait added between requests to avoid hammering a server — the politeness delay — slows a single-IP crawl to a standstill. Share the traffic across many IPs and each one keeps its own delay while your total crawl rate goes up.

Stay compliant with robots.txt

Even a polite, low-intensity crawler that respects robots.txt can be blocked over another process's aggressive traffic if it goes out on a shared IP. Your own IP pool means your compliance is judged on your behavior, not somebody else's.

Raise concurrent requests safely

Turning up the concurrent request setting on a single IP invites an instant ban. With a large proxy pool you keep concurrency low per IP and high in aggregate, crawling thousands of pages in parallel.

Collect the real page content for every country

Many sites change language, pricing, and content by country and even by city. Without a real IP in the target location, the page content your crawler stores can differ from what an actual visitor sees.

Keep your own infrastructure hidden

Your crawl traffic leaves through addresses in the proxy pool instead of your own server's IP. Your real infrastructure never appears in the logs of the sites you crawl.

Cut your cost per volume

For broad, lightly guarded sets of sites, datacenter proxies are far cheaper per GB or per IP. Switch to residential only on tightly guarded targets and your budget follows how sensitive each target actually is.

Connect your existing crawler without code changes

Scrapy, Apache Nutch, Puppeteer, and your own HTTP client all support the backconnect endpoint format natively. Enter a single host:port plus your credentials and you are on the proxy pool without touching your existing crawl logic.

Web Crawler & Proxy Infrastructure

What is a Web Crawler?

A web crawler (spider bot) is a program that sets out from one or more starting addresses (seed URLs) and moves systematically across sites by following the links it finds on each page. The flow is always the same: the crawler starts at the seed URL, fetches the page (crawl), parses the HTML to pull out new links and data (parse), writes the result to a database or file (store), then adds the new links it found to the queue and keeps the loop running.

Why Do You Need a Proxy? Target servers recognize continuous, heavy crawl traffic arriving from a single IP; they apply rate limits and ban that IP temporarily or permanently. The risk climbs further when you want to crawl fast by keeping the politeness delay (the wait between requests) low. A proxy pool spreads your requests across many different IPs, so your crawl can run at high concurrency without stalling.

Which proxy to use for which web-crawling job
Job typeSession modeIP sourceBilling
High-volume, lightly guarded targets (large sitemaps)Rotating ProxyDatacenter ProxyMonthly per IP
Tightly guarded targets with heavy bot detectionRotating ProxyResidential ProxyPer GB
The most heavily guarded, highest-trust-required targetsRotating ProxyMobile ProxyPer GB
Flows that need a login or session trackingSticky ProxyResidential ProxyPer GB

What actually separates a crawler from one-off scraping?

Data scraping usually pulls pages from a known list, once or on a fixed schedule. A crawler's job is different: following a sitemap.xml end to end to discover hundreds of thousands of pages, or automatically finding and queuing the new product pages an e-commerce site adds every day — a continuous, scheduled workflow.

At that scale a single IP is never enough — a crawler trying to refresh a 500,000-page sitemap once a day sends tens of thousands of requests per hour, and the target server sees that as abnormal traffic from one source. Search engine indexing is built on exactly this principle: wide IP pools and distributed request timing.

The same principle applies when building your own crawler: use Rotating Proxy during discovery so every request exits from a different IP, and switch to Sticky Proxy when you need to follow a specific subsection with a stable identity — that way you stay robots.txt-compliant and keep your scheduled crawl running without interruption.

Data scraper vs. web crawler
Data scraperWeb crawler
Target listFixed, already knownExpands itself by following links
FocusExtracting specific fields (price, stock, title)Systematic discovery, usually paired with extraction
ExampleTracking one product's priceSearch engine indexing, sitemap discovery
Setup Steps & Boundaries

How Does a Web Crawler Work?

The seed URL → crawl → parse → store loop you follow when building a crawl workflow from scratch:

  1. Defining the Seed URLs and Scope: Define the one or more seed URLs your crawler will start from, along with which domains and sub-paths fall inside your scope. At this stage, read the target site's robots.txt file and identify which paths are not allowed to be crawled (Disallow).
  2. Crawl — Fetching Pages and Queueing Links: The crawler fetches the seed URL with an HTTP request, adds the internal links it finds to a queue, and repeats the process for every address in that queue. The politeness delay (the wait between requests) and the concurrent request count are set here — settings that are too aggressive earn a fast ban on a single IP, which is why the traffic has to be distributed across a proxy pool.
  3. Parse — Breaking Down the HTML: The downloaded HTML is parsed: new links are extracted to join the queue, and if you need them, fields such as the title, meta tags, or body content are pulled out in the same step. Pages rendered with JavaScript require a headless browser before this step.
  4. Store — Saving Results and Deduplicating URLs: The parsed data is written to a database or a file, and visited URLs are marked so the same page is never crawled twice. Backoff and retry logic for 429/403 responses, along with scope and crawl depth limits, also come into play at this stage.
settings.pyScrapy — pointing the crawl at the Proxynet gateway
DOWNLOADER_MIDDLEWARES = {"myproject.middlewares.ProxynetProxy": 100}
CONCURRENT_REQUESTS_PER_DOMAIN = 50
DOWNLOAD_DELAY = 0.5  # seconds

What It Is Not

  • It is not a tool for collecting personal data covered by GDPR, KVKK, or similar regulations.
  • It is not a method for accessing authenticated or private areas without authorization.
  • It is not a way to crawl paths that robots.txt explicitly disallows; scope should stay in line with those rules.

A Proxy Alone Isn't Enough

  • Politeness delay and crawl depth settings stay in your own crawler logic — the proxy only solves the IP source.
  • Browser fingerprinting (canvas, WebGL, user-agent consistency) needs to be managed separately.
  • Sites requiring JavaScript rendering need a headless browser — the proxy only solves the network layer.
Use Cases

Web Crawler Industry Use Cases

From SEO audits and e-commerce catalog sweeps to finance tracking and brand protection — the fields web crawlers power.

Walk every page of a site systematically and surface broken links, missing meta tags, and indexability problems exactly as search engine bots see them.

Start from a store's category pages and follow links through to every product page, discovering thousands of SKUs in a single crawl cycle.

Re-crawl catalog pages at regular intervals to track price, stock, and campaign changes from real location IPs.

Map a competitor's full page structure, product assortment, and regional content differences systematically with a crawler.

Crawl the web at scale to find counterfeit sellers and scam sites trading on your brand name, logo, or product photography.

Crawl public market and news sites at regular intervals to collect price, announcement, and company data in real time.

What customers say

Rated 4.4 out of 5 — "Excellent" on Trustpilot.

Trustpilot

Support and proxy quality

When you take the quality of the proxies they sell together with pre-sales and after-sales support, I can say they are among the best on the market. I want to work with them for a long time — thank you.
Ç

Çağlar

Trustpilot · 5.0/5 · Aug 2022

Trustpilot

One of the best customer support teams you will see

I was using a proxy from another company and could not get support. I was already registered on proxynet.io before buying; when a customer-service email arrived on Saturday I decided to try. So far I can say their fast replies and problem-solving approach really impressed me.
Read on Trustpilot
K

Kemal

Trustpilot · 5.0/5 · Sep 2023

Trustpilot

Technical support is fast, ISP proxies work

Technical support is fast. I was very happy with the ISP proxies; you could make prices a bit more affordable, mobile is unfortunately expensive, but ISP speeds and subnet quality are solid.
Read on Trustpilot
A

Andre James

Trustpilot · 5.0/5 · Dec 2023

Frequently Asked Questions.
Everything you need to know about web crawlers.

Have a different question, or need high-volume crawl infrastructure? Our expert team is available 24/7.

A web crawler is a bot that starts from one or more seed URLs and moves systematically across sites by following the links it finds on each page. The loop is always the same: seed URL → crawl (fetch the page) → parse (break down the HTML and pull out new links and data) → store (save the result); every new link it discovers is added to the queue and the same cycle repeats.