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Web Scraping

How to Choose a Proxy for Web Scraping

Most scraping projects fail not because of the code but because of the IP strategy: the wrong proxy type is chosen, the budget either falls short or is wasted, and the architecture collapses when the target changes. This article turns proxy selection into a systematic decision process.

Step 1: Analyse Your Target

The choice starts with the target. Answer three questions:

  1. What is the protection level? A simple test: send 50-100 requests from a datacenter IP. If they go through without trouble, the target is tolerant; if you get CAPTCHAs/403s, it is protected.
  2. Do you need sessions? If there is a login, a cart or a multi-step form, you need sticky sessions.
  3. Does location matter? If content/pricing varies by region, you need targeting.

Step 2: Deciding on the Type

Target ProfileRight TypeBudget Impact
Tolerant (open data, small sites)DatacenterLowest — unlimited traffic
Moderately protected (news, listings, catalogues)Rotating residentialGB-based, moderate
Aggressively protected (marketplaces, booking sites)Residential + city targetingGB-based, needs planning
Huge targets with IPv6 supportIPv6 subnetOne tenth of the cost
Social platform contentMobile (last resort/hybrid)Port-based, high

A hybrid architecture is usually the most efficient: listing pages from datacenter, protected detail pages from residential.

Step 3: Rotation Strategy

  • Per-request rotation: the default for independent pages.
  • Sticky session: for session flows; assign a separate session ID per thread.
  • Pace: random delays of 1-5 s; increase volume during the target's night-time hours.
  • Retry policy: on a 403/429, do not persist with the same IP; use a new IP plus exponential backoff.

Step 4: Calculate the Cost in Advance

A simple formula so that GB-based plans hold no surprises:

Monthly traffic ≈ number of pages × average page size × (1 + retry rate)

Example: 20,000 pages a day × 0.6 MB (HTML only) × 30 days ≈ 360 GB/month — a volume that belongs in enterprise-plan territory. Not downloading images, accepting gzip and blocking unnecessary resources (blocking images/CSS in a headless browser) reduces traffic by 50-80%.

Step 5: Production Checklist

  • I log success rate (2xx), CAPTCHA rate and latency metrics.
  • Proxy credentials are in environment variables, not in the code.
  • Separate session pools are defined per target.
  • robots.txt and the target's terms of use have been reviewed.
  • Backup plan: if the primary pool gets blocked, a second type takes over.

Can You Start With Free?

For a prototype, yes: free proxy addresses are ideal for verifying your code's proxy integration. They are not suitable for production scraping, however — volatility, slowness and shared IP reputation sabotage the process. Prototype → free, production → paid pool is the natural flow.

Frequently Asked Questions

01Headless browser or HTTP client?

If the target renders with JavaScript, you need a headless browser (Playwright/Puppeteer); on targets that return static HTML, an HTTP client uses 10-50 times fewer resources and less traffic. Prefer the client wherever possible.

02How many concurrent requests can I send?

There is no limit on our infrastructure; the limit is the target's tolerance. The healthiest approach is to start small (5-10 in parallel) and scale up while watching the success rate.

03How do I hide my scraping bot?

The IP is only one signal: a realistic User-Agent, a consistent header set, cookie management and a human pace all have to work together. None of them substitutes for another.

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