Half of the problems with proxy tariffs start not with the choice of IP type, but with the incorrect calculation of traffic volume. Some buy a terabyte "just in case" and overpay, while others take 10 GB for scraping Wildberries and hit the limit on the third day. Let's figure out how to calculate traffic for real tasks — farming advertising accounts, managing SMM projects, and collecting data from marketplaces.
Why Traffic Volume is More Important Than It Seems
Most beginners choose proxies based on the price per GB and type of IP, completely forgetting to calculate how much traffic their task actually "consumes." As a result, two opposite situations arise. The first: a person buys 10 GB of residential proxies for managing 20 Instagram accounts and hits the limit on the fifth day because they didn't account for the weight of photos and videos in the feed. The second: a seller on Wildberries takes a terabyte of traffic to monitor 500 product listings, although they actually consume 15-20 GB per month — an overpayment by several times.
The volume of traffic is directly related to the type of content you upload through the proxy. Text requests (price scraping, API requests) cost mere pennies — fractions of a kilobyte per request. However, loading an Instagram feed with videos, viewing Stories on TikTok, or scrolling through Facebook can consume megabytes per minute of operation. Therefore, the volume calculation should always start with analyzing what exactly you are doing through the proxy, rather than from an abstract "how much traffic to take as a reserve."
Another important point is that traffic volume also affects the choice of proxy type. For tasks with heavy content (SMM, streaming, advertising with video creatives), residential or mobile proxies with flexible GB tariffs are more advantageous. For tasks with high request frequency but low weight (marketplace scraping, price collection), datacenter proxies are often more cost-effective — they process thousands of small requests faster and do not create excessive budget strain.
How Many GB Are Needed for Specific Tasks
To avoid guessing, let's analyze real scenarios with approximate traffic consumption. The figures are averaged, based on typical user activity through anti-detect browsers like Dolphin Anty, AdsPower, or GoLogin.
| Task | Consumption per Account/Session per Month | Recommended Package |
|---|---|---|
| Farming Facebook Ads account (without launching campaigns) | 2-4 GB | 10-30 GB for 10 accounts |
| Managing Instagram (posts, Stories, Reels, warming up) | 3-6 GB | 50-100 GB for 20 accounts |
| TikTok Ads (viewing feed, testing creatives) | 5-8 GB | 100 GB for 15 accounts |
| Price scraping Wildberries/Ozon (10,000 listings) | 0.5-1.5 GB | 10-20 GB per month |
| Mass posting on Avito | 0.3-1 GB per account | 10-30 GB for 30 accounts |
| SMM agency (50+ client accounts) | 3-5 GB per account | 200-500 GB or a terabyte |
Note the difference between scraping and SMM: scraping marketplaces, even on an industrial scale, rarely exceeds 20-30 GB per month because requests to APIs or HTML pages weigh little. However, visual content from social networks can "consume" a terabyte in a month if it involves a large agency with dozens of clients.
GB Package or Unlimited: Which is More Profitable
Limited GB packages are suitable when you know the volume of your activity and want to pay only for the traffic actually used. This is convenient for seasonal tasks — for example, testing a new advertising campaign for a month or one-time scraping of a competitor's assortment before launching a new product.
Unlimited or large packages (100+ GB, a terabyte) are justified when the load is unpredictable or increases over time. A classic example is an SMM agency that is constantly acquiring new clients or an arbitrage team scaling bundles in Facebook Ads and TikTok Ads. In this case, it is better to fix a large volume once than to buy traffic manually every month and risk stopping work at the most critical stage — for example, during an active advertising campaign.
There is also an intermediate option — flexible tariffs with automatic traffic replenishment upon reaching the limit. This format reduces the risk of "cutting off" proxy work at an inconvenient moment but requires monitoring expenses to avoid exceeding the budget unnoticed.
Residential Proxies and Volume Calculation
Residential proxies use real IP addresses of home users, so they raise the least suspicion with the anti-fraud systems of Facebook, Instagram, and TikTok. However, they have a peculiarity: traffic is charged strictly by volume, not by connection time, and the price per GB is usually higher than that of datacenter proxies.
For arbitrageurs, this means that volume calculations should include a reserve of 20-30% for unforeseen situations: reloading pages due to unstable connections, retries for errors in the anti-detect browser, auto-refreshing content in the background. If you manage 15 Facebook Ads accounts and calculated a consumption of 45 GB, it makes sense to take a package of 60 GB — it's cheaper than urgently buying traffic in the middle of an advertising campaign and losing time warming up new proxies.
Residential proxies are also sensitive to geolocation: traffic from the USA or Western Europe is usually consumed a bit faster due to heavier content (advertising, high-resolution videos on local servers), while traffic from CIS countries may weigh slightly less for similar actions.
Mobile Proxies: Why Traffic Depletes Faster
Mobile proxies are the most expensive type of traffic, and here saving on volume is especially critical. Mobile IP addresses simulate connections through 3G/4G/5G networks of operators, making them highly trusted for platforms like TikTok Ads and Instagram, where algorithms rigorously check behavior patterns.
The peculiarity of mobile traffic is that mobile applications are themselves optimized for data saving — they compress images, load videos on demand. However, when working through an anti-detect browser (Dolphin Anty, Octo Browser), you usually emulate a desktop or mobile web version that does not always use these optimizations, so actual consumption may be higher than in a regular mobile application.
Practical rule: for farming 5-10 TikTok Ads accounts through mobile proxies, allocate at least 40-60 GB per month considering feed viewing, test ad launches, and repeated login sessions. It's not worth saving on volume here — a session interruption due to lack of traffic during the warming up of the account can roll back the entire farming process several days.
Datacenter Proxies for Large Scraping Volumes
When the task is not to imitate a live user but to collect data en masse, traffic volume ceases to be the main problem, and speed and connection stability come to the forefront. For monitoring prices on Wildberries, Ozon, Yandex.Market, or collecting ads from Avito, datacenter proxies often turn out to be more cost-effective than residential ones because their cost per GB is lower, and the requests themselves weigh little.
For example, scraping 50,000 product listings with price updates every 6 hours via the marketplace API generates traffic in the range of 5-15 GB per month — this is insignificantly small compared to the visual content of social networks. In such cases, taking a package of 100 GB or more is simply impractical unless you plan to significantly expand the scraping coverage.
An exception is scraping with rendering pages through headless browsers (Selenium, Puppeteer), when not only API data is loaded but also the complete HTML page with images and scripts. In this case, traffic consumption can increase by 5-10 times compared to direct API requests, and the volume needs to be recalculated considering this peculiarity.
How to Calculate Your Volume: Step by Step
To avoid buying traffic randomly, follow a simple calculation algorithm before choosing a tariff.
- Determine the type of activity. Visual content (social networks, advertising) weighs much more than text requests (scraping, API).
- Calculate the number of accounts or sessions. Multiply the average consumption of one account (see the table above) by the total number of accounts.
- Consider the frequency of actions. Daily posting on Instagram consumes more traffic than a one-time check of the feed once a week.
- Add a reserve of 20-30%. Retries, updates, connection errors always add extra consumption above the calculated.
- Check the growth dynamics. If you plan to scale (new clients in SMM, new bundles in arbitrage), immediately take a package with the possibility of replenishment or a larger tariff.
- Match with the type of proxy. For social networks and advertising — residential or mobile proxies, for scraping large volumes of data — datacenter proxies.
Such a calculation takes 15-20 minutes but saves dozens of hours on fixing situations when proxies run out in the middle of the workflow — whether it's an advertising campaign in Google Ads or scraping an assortment before launching a new product.
Common Mistakes When Choosing Volume
Mistake 1. Buying the minimum package "to try" for full-fledged farming of 15-20 accounts — traffic runs out on the second or third day of active work.
Mistake 2. Buying a terabyte for a task that actually requires 10-20 GB — a typical situation when scraping marketplaces, where volume is chosen "just in case."
Mistake 3. Ignoring the difference between proxy types when calculating: residential and mobile traffic for the same task is consumed differently due to routing peculiarities.
Mistake 4. Lack of reserve for growth — the team scales the number of accounts or clients but forgets to recalculate traffic volume, leading to a sudden halt in work.
Summary Table by Tasks
| Usage Scenario | Proxy Type | Estimated Volume |
|---|---|---|
| Farming 10-20 Facebook Ads accounts | Residential | 30-100 GB |
| Warming up TikTok Ads accounts | Mobile | 40-100 GB |
| Price scraping Wildberries/Ozon | Datacenter | 10-30 GB |
| SMM agency, 50+ clients | Residential | 200 GB — a terabyte |
| Monitoring Avito ads | Datacenter / Residential | 15-40 GB |
Conclusion
Traffic volume is not a secondary detail of the tariff, but a parameter that directly affects the stability of your work. A package that is too small leads to the interruption of account farming at the most inconvenient moment, while a package that is too large results in overpayment for unused traffic. Before choosing between 10 GB, 100 GB, or a terabyte, calculate the actual load: the type of content, the number of accounts, the frequency of actions, and the reserve for growth.
If you are running advertising campaigns in Facebook Ads or TikTok Ads and farming accounts through Dolphin Anty or AdsPower, consider residential proxies with a flexible GB tariff — they provide the best balance between anonymity and traffic cost. For scraping marketplaces and monitoring prices on Wildberries or Ozon, it makes more sense to consider datacenter proxies with a small volume, and for the most sensitive tasks in TikTok and Instagram — mobile proxies with a traffic reserve for peak loads.