How to save on proxies: 8 working tactics

Realistic ways to cut proxy spend by 30-70% without losing quality: traffic optimisation, volume discounts, switching to the right type, subscription length.

1. Block unneeded resources (60-80% saved)

The biggest win. On the average web page ~70% of bandwidth is images, CSS, fonts and video. If you only scrape text or structured data, block all of that:

// Puppeteer
await page.setRequestInterception(true);
page.on('request', req => {
  if (['image', 'stylesheet', 'font', 'media'].includes(req.resourceType())) {
    req.abort();
  } else {
    req.continue();
  }
});

Saving: 10 GB/day → 2-3 GB/day. On residential at $2/GB that's $240/month saved.

2. Switch to the right proxy type

Plenty of teams overpay for residential where datacenter would do:

• API integrations without anti-bot — datacenter ($0.5/GB), economy ~5×
• Scraping public JSON endpoints — datacenter
• Internal tooling — datacenter

Guide on proxy types: read

3. Volume and annual discounts

Almost every provider discounts by volume:

• SOAX — 15-20% off from 100 GB
• Decodo — annual subscription -25%
• Bright Data — custom plans from $1000/month with 30%+ discount

Planning 6+ months of work? Switch to annual. 25% saving.

4. Local caching

Don't request the same thing twice. A simple Redis cache with a 1-7 day TTL saves 30-50% of requests on typical scraping workloads:

import redis
import hashlib

cache = redis.Redis()

def fetch_cached(url, ttl=86400):
    key = 'http:' + hashlib.md5(url.encode()).hexdigest()
    cached = cache.get(key)
    if cached:
        return cached.decode()
    data = fetch_via_proxy(url)
    cache.setex(key, ttl, data)
    return data

5. Always enable gzip

One header saves 60-80% bandwidth:

headers = {'Accept-Encoding': 'gzip, deflate, br'}
requests.get(url, headers=headers, ...)

Most modern libraries decode gzip automatically. Some providers count traffic after decompression — read the ToS carefully.

6. Self-imposed rate limit instead of retrying on 429

If you know the target has roughly a 5 req/sec ceiling, throttle your client to 4 req/sec instead of catching 429 and retrying. Every retry is a full bandwidth round-trip wasted.

import asyncio
sem = asyncio.Semaphore(4)

async def fetch(url):
    async with sem:
        await asyncio.sleep(0.25)  # max 4 req/sec
        return await aiohttp_fetch(url)

7. Pay-as-you-go vs subscription

If your usage is irregular (one big research push per month), pay-as-you-go is cheaper:

• Decodo PAYG: $4/GB
• Decodo monthly 50 GB: $200/month = $4/GB if you use it all. Use only 20 GB and the real rate is $10/GB.

Simple rule: if you use less than 80% of the monthly volume, switch to pay-as-you-go.

8. Mixed strategy: different providers for different tasks

Don't use one service for everything. A realistic team has 3-4 accounts:

• Webshare ($0.65/GB datacenter) — for backend integrations
• Decodo ($2.20/GB residential) — for daily scraping
• Bright Data ($5/GB residential) — for anti-bot-protected targets (Datadome)
• iProxy.online ($25/port mobile) — for multi-account

A mixed strategy saves 40-60% over a one-size-fits-all approach.

Saving on proxies isn't picking the cheapest — it's the right tool for each task. Often the premium on quality residential pays back through saved retry logic and shorter time-to-completion.