“I’ll take a larger package to be sure it’s enough” — this is what almost everyone thinks when buying traffic-based proxies for the first time. As a result, they either overpay for unused gigabytes or hit their limit in the middle of the month, causing their tasks to stall. Let’s break down with real figures how much traffic six typical tasks consume: farming ad accounts, managing social media, scraping marketplaces, and testing ads in different regions.
Why It’s Important to Calculate Traffic in Advance
Traffic-based proxies are the most flexible model for arbitrageurs, SMM specialists, and sellers: you pay only for the data you actually use. But there’s a downside — if you don’t understand how much your task “weighs,” it’s easy to miscalculate your budget by 2-3 times. It’s one thing to warm up 5 Facebook Ads accounts without visual content, and quite another to manage 30 Instagram accounts with video uploads in Reels.
The difference in traffic consumption between text scraping and watching videos can reach 50-100 times. Therefore, before purchasing a traffic package or choosing a plan, it’s useful to estimate your consumption at least approximately — this saves both money and time on additional purchases in the midst of work.
What Affects Traffic Consumption
Traffic consumption through proxies is not determined by the proxy server itself (which merely transmits data), but by what happens on the website or application side. Here are the main factors:
- Type of Content — text and JSON weigh almost nothing, photos weigh significantly more, while videos and Reels are the main “traffic eaters.”
- Number of Requests — each post scrolled, each page loaded in the feed adds to the volume.
- Auto-Loading Media — if automatic loading of images and videos in the background is enabled in the anti-detect browser, traffic increases even without active actions.
- Frequency of Requests During Scraping — the more often the scraper accesses the product page, the higher the total consumption.
- Type of Proxy — residential and mobile proxies usually transmit the same amount of data as a regular connection, while data center proxies sometimes add a small overhead at the protocol level, which has little effect on the final amount.
Considering these factors, it is possible to predict consumption quite accurately for specific tasks. Below are calculations for the six most common scenarios of using proxies in arbitrage, SMM, and e-commerce.
Scenario 1: Farming and Warming Up Facebook Ads Accounts
Warming up Facebook ad accounts involves simulating the actions of a regular user: likes, scrolling through the feed, viewing several posts, and sometimes going into Ads Manager to set up a campaign. Such a session typically lasts 15-20 minutes per account.
During one warming session without actively watching videos, about 15-30 MB of traffic is consumed. If videos appear in the feed and you don’t skip them, consumption rises to 50-80 MB per session. When working with 20 accounts in an anti-detect browser like Dolphin Anty or AdsPower and warming each for 15 minutes daily, we get:
- 20 accounts × 25 MB (average) = 500 MB per day
- 500 MB × 30 days = about 15 GB per month
If you add the setup of the ad campaigns themselves, uploading creatives, and working in Ads Manager, add another 30-50% to the calculation — totaling 20-22 GB for 20 accounts per month. For this task, residential proxies are most commonly used — they appear as regular home IPs and do not raise suspicions with Facebook’s anti-fraud systems during regular activity.
Scenario 2: Managing Instagram and TikTok for an SMM Agency
Here, traffic grows significantly faster because the Instagram and TikTok feeds consist almost entirely of videos. Watching one Reels or short video on TikTok consumes between 3 to 8 MB depending on quality and duration. The average session for an SMM specialist who responds to comments, checks statistics, publishes 1-2 posts, and scrolls through the feed for 10 minutes results in about 15-25 videos viewed per visit.
Calculation for one account with one session per day:
- 20 videos × 5 MB = 100 MB for scrolling the feed
- + uploading 1-2 posts/Reels (upload back) = 15-30 MB
- Total about 130-150 MB per session per account
If the SMM agency manages 30 client accounts, the daily load will be 130 MB × 30 = 3.9 GB per day, and for the month — about 115-120 GB. This is one of the most traffic-intensive tasks among the scenarios considered, so for managing dozens of client accounts, it’s wise to budget for a traffic package with a buffer. Many SMM specialists use mobile proxies for Instagram and TikTok, as these platforms are particularly sensitive to the type of IP address when logging in from a new device.
Scenario 3: Scraping Prices on Wildberries and Ozon
Monitoring competitor prices is a task with relatively low traffic consumption per request, but with a huge number of these requests. One product card on Wildberries or Ozon when scraping through HTML or API weighs from 50 to 300 KB if images are not loaded, and up to 1-2 MB if the scraper loads product images as well.
Let’s calculate for a typical scenario: a seller monitors 5000 competitor product cards once a day without loading images:
- 5000 cards × 150 KB (average) = 750 MB per day
- 750 MB × 30 days = about 22.5 GB per month
If monitoring is done 3 times a day to track price dynamics, multiply the final figure by three — resulting in about 67 GB per month. For scraping marketplaces, data center proxies are often sufficient — they process a large number of requests faster and are cheaper than residential ones at comparable traffic volumes, provided the site does not aggressively block data center IPs.
Scenario 4: Auto-Posting and Mass Following on Social Media
Automating actions on Instagram and TikTok — following, likes, viewing stories by hashtags — generates many small requests. Each action (follow, like, view story) weighs from 20 to 150 KB, but their number during an automation session can reach several hundred.
Example: an automation service performs 300 actions per day on one account (100 likes, 100 follows, 100 story views):
- 300 actions × 60 KB (average) = 18 MB per day per account
- When working with 15 accounts: 18 MB × 15 = 270 MB per day
- 270 MB × 30 days = about 8 GB per month
This is one of the most economical scenarios in terms of traffic because the actions are text-based and do not require loading heavy video content in full. However, it’s important to note that viewing stories often loads the image or video of the story itself — in this case, consumption can increase 2-3 times if the automation does not skip media quickly.
Scenario 5: Posting Ads on Avito from Different Regions
To post ads in several cities via proxies, you need to log into your personal account, fill out the ad form, and upload several product photos. The text part itself weighs little — 200-500 KB for one session of logging in and navigating the account. The main weight comes from the photos.
Calculation for posting 50 ads per month with 5 photos each (average photo 1.5 MB):
- 50 ads × 5 photos × 1.5 MB = 375 MB for uploading photos
- + navigation in the account: 50 × 400 KB = 20 MB
- Total about 400 MB per month for the entire volume of postings
This is the lightest traffic scenario out of the six, but here the stability and geography of the IP address are more important than the volume of data — Avito determines the user’s region by IP, and to post in a specific city, a proxy with that geolocation is needed.
Scenario 6: Testing Ads in Different Countries
Marketers testing creatives in Google Ads, TikTok Ads, and Yandex.Direct from different countries generate traffic by viewing the ad cabinet, previewing ads (including video formats), and downloading campaign statistics. Previewing one video ad weighs 2-5 MB, while updating campaign statistics weighs 100-300 KB.
A typical testing session: a marketer checks 10 campaigns a day, views 2-3 creatives for each, and updates statistics every 30 minutes during the workday (16 updates):
- 10 campaigns × 2.5 creatives × 3.5 MB = 87.5 MB for viewing creatives
- 16 updates × 200 KB = 3.2 MB for statistics
- Total about 90 MB per day for one test region
When testing in 5 countries simultaneously, consumption multiplies by 5 — about 450 MB per day, or 13.5 GB per month. Here, not only the geolocation of the proxy is important, but also the stability of the connection, as ad cabinets are sensitive to session drops when loading video content.
Summary Table of Traffic Consumption by Scenarios
We’ve compiled all the calculations into one table for quick comparison. Please note that the figures are approximate and depend on usage intensity, media quality, and auto-loading settings in the anti-detect browser.
| Scenario | Task Volume | Monthly Consumption | Recommended Proxy Type |
|---|---|---|---|
| Farming Facebook Ads | 20 accounts | 15-22 GB | Residential |
| Managing Instagram/TikTok | 30 accounts | 110-120 GB | Mobile |
| Scraping Wildberries/Ozon | 5000 cards × 3 times/day | ~67 GB | Data Center |
| Auto-Posting/Mass Following | 15 accounts | ~8 GB | Mobile / Residential |
| Ads on Avito | 50 ads | ~0.4 GB | Residential |
| Testing Ads in 5 Countries | 10 campaigns | ~13.5 GB | Residential |
How to Reduce Traffic Consumption Without Losing Work Quality
If your traffic package runs out before the deadline, there are several practical ways to reduce consumption without compromising the task results:
- Disable auto-loading of images and videos in the anti-detect browser settings if the task does not require visual monitoring — most browsers, including Dolphin Anty and GoLogin, allow blocking media at the profile level.
- Scrape only the necessary fields — if you only need the price and availability of a product for price monitoring, do not load the full HTML page with images, use lightweight API requests from the marketplace.
- Limit the frequency of updating statistics in ad cabinets — updating every 30-60 minutes instead of constantly keeping the dashboard open saves a significant amount of traffic.
- Compress photos before uploading on Avito, Wildberries, or Instagram — reducing the photo size from 3 MB to 800 KB has little effect on visual quality but reduces consumption by three times during mass uploads.
- Separate tasks by proxy type — do not run heavy video traffic SMM through the same package as light scraping to better control consumption for each direction.
Conclusion and Recommendations
Traffic consumption through proxies directly depends on the type of content and the intensity of the task, not on the proxy server itself. Text scraping and posting ads cost a fraction of a gigabyte per month, while managing dozens of Instagram and TikTok accounts with video content easily exceeds 100 GB. Before choosing a traffic package, run your task through the calculations in this article — this way, you will avoid overpaying for unused gigabytes as well as sudden traffic shortages in the middle of a working month.
For tasks that are highly sensitive to blocks — farming ad accounts, managing social media, testing ads in different countries — we recommend considering residential proxies: they provide a high level of anonymity at any traffic volume. For mass scraping of marketplaces, where speed and price per gigabyte are important, data center proxies are a better fit.