US tg number mass screening strategy: How to split and execute the task of 100,000-level US Telegram numbers

When you need to screen hundreds of thousands or even millions of US TG numbers, submitting a very large task directly is often not the best choice. Although the maximum number of detections for US TG activation numbers can be about 1 million per time, large-volume tasks are prone to pitfalls in terms of management, cost, and accuracy of results. This article combines the functions of the KK-DATA platform to explain in detail the splitting ideas, deduplication strategies, progress management and export techniques for US Telegram Numbers screening tasks with levels above 100,000, to help you efficiently complete US Telegram Numbers mass processing.

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Why do large batch screening of US TG numbers need strategic splitting?

Faced with tasks involving 100,000 people, many teams are accustomed to uploading all numbers at once. As a result, they encounter the following problems:

• Detection timeout or too long queue: Very large tasks may be limited by the platform queue, and the overall time consumption is uncontrollable.
• Difficulty in managing fragmented data: If a task fails or some errors occur, it is difficult to locate which batch of data has the problem.
• Balance wastage risk: If the same number is submitted in different batches, repeated testing will cause the balance to be deducted multiple times.

A reasonable splitting strategy can:

• Improve task completion speed (submit multiple batches in parallel)
• Precise cost control (combined with deduplication to avoid repeated deductions)
• Facilitates phased review (results can be viewed independently for each batch)

Common pitfalls in tasks involving 100,000 people

• Not pre-removed: The same number appears in two batches, and charges will be deducted twice.
• Mixed detection types: Check the three tests “activated + active + gender” at one time, but in fact only need to be activated and active, resulting in useless consumption.
• Insufficient balance estimate: Before submitting the task, I only looked at the unit price, and did not calculate the total amount * unit price. After submission, the balance was insufficient, causing the task to fail.

Core principles of splitting ideas

It is recommended to split according to the three dimensions of “detection type + number area + magnitude”:

Dimensions	Suggestions
Detection type	Separate “activation detection” and “activity/gender detection” into different batches, because activity and gender have longer detection windows
Number area	If the number comes from different country area codes (for example, both the United States +1 and Canada +1?), group them by area code
Magnitude	Each batch of suggestions is 50,000-200,000 to avoid submitting too many at one time

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How to reasonably define the batch size of the US tg number task?

According to the above principles, subdividing batches can be done as follows:

Determine batch capacity based on detection type

• Only detecting US TG activation numbers: Each batch can contain 100,000-200,000 numbers, because the activation detection speed is the fastest.
• Activation + Active Detection: Each batch should not exceed 50,000-100,000 items. Active detection requires querying the latest online time, which puts greater pressure on the backend.
• Activation+Activity+Gender Data: It is recommended that each batch should not exceed 50,000. Gender detection will include fields such as age, avatar, etc., and the processing will take longer.

Use the “Global Number Generation + Filtering” pipeline split

KK-DATA provides global number generation (240+ countries/regions). You can first generate a list of US numbers in a specified number range, and then import and filter in batches. For example:

1. First use the “US number segment generation” function to randomly generate 200,000 sample numbers according to area codes (free).
2. Export the generated file to CSV and split it into four sub-files with 50,000 items.
3. Submit 4 detection tasks respectively, and only check “Telegram activation detection” for each task.
4. After the activation test is completed, filter out the activated numbers and submit them to the next round of “active” or “gender” testing.

This method can not only control the capacity of each batch, but also filter out invalid numbers by stage, saving subsequent testing costs.

Reserve balance check between batches

Before each submission, be sure to check whether the balance is sufficient to cover all detection types of the current batch. For example, the estimated cost for each 500,000 full-type tests (activated + active + gender) is about X USDT (specifically based on the real-time price of the console). If the balance is insufficient, priority should be given to recharging or reducing the batch size. KK-DATA will display the estimated cost before submitting the task.

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The key to cross-batch deduplication: How to use the data deduplication warehouse?

One of the most feared things about large-volume screening is that the same number is tested repeatedly in different batches, which wastes the remaining balance. KK-DATA’s data deduplication warehouse solves this problem - it is global and takes effect across tasks.

Workflow and advantages of deduplication warehouse

1. Before submitting any task, log in to the console and enter the “Remove Duplicate Warehouse” page.
2. Manually upload all historical numbers (which can be previously filtered or US TG numbers collected from other channels).
3. The deduplication warehouse will automatically mark existing numbers. When submitting tasks later, the system will skip these numbers and no fees will be deducted.
4. Even if you submit in batches, as long as there are records in the deduplication warehouse, each number will only be checked once.

Advantages: Especially suitable for the two-stage process of “test activation first, then test activation” - after the first round of detection, the deduplication warehouse automatically remembers all detected numbers, and there is no need to manually exclude them during the second round of submission.

How to manually import historical numbers before submitting in batches

If you have old data on hand (such as U.S. Telegram numbers previously screened with other tools), you can export it to CSV/TXT first, and then upload it through the “batch import” function of the deduplication warehouse. Recommended format: One number per line, including the international area code (such as +1xxxxxxxxxx).

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Notification and progress management of the 100,000-level American Telegram number task

Large tasks often take hours or more, and refreshing the console all the time is impossible. It is recommended to turn on the task notification function:

• Bind your Telegram account in the “Settings” of the console (complete verification by contacting customer service in two-way https://t.me/kkdata_robot).
• Check “Notify me via Telegram when the task is completed” when submitting a task.
• After each batch of tasks is completed, the robot will send a message containing information such as the number of completed tasks, the number of valid numbers, and the consumption balance.

In addition, the “Historical Tasks” list in the console will display the status of each task (queuing, processing, completed, failed) and deduction details to facilitate review.

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How to efficiently export large batches of US TG activation number results?

After the screening is completed, the export process also requires strategies.

Export format selection

• CSV: Suitable for subsequent processing with Excel or programming, and can use “Filter” to quickly locate valid fields.
• TXT: Suitable for direct import by other tools, one number per line.

KK-DATA supports exported fields including: Mobile phone number, international area code, country, platform activation status, active status, gender, age, avatar link, tgid, etc. The specific fields are subject to the console export interface.

Key field filtering strategy

• If the target is only the US TG activation number, only export the rows whose activation status is “activated”.
• If you need a precise group of people, you can use the “Gender” and “Age” fields to filter: for example, select numbers with a gender of “Male” and an age field value between 20-40. Note that the age field is not accurate at the ID card level. It is usually the result of model calculation and is available for reference.

How to merge files and verify deduplication after exporting in batches

1. After each batch of tasks is completed, immediately export the CSV file (named such as batch1.csv, batch2.csv).
2. Put all the exported files into the same folder and merge them using Excel’s Power Query or Python script.
3. After merging, use the “Number” column to deduplicate (if the data deduplication warehouse has been used before, there will be no duplication in theory, but it can be verified again for insurance).
4. Store the final list of valid numbers in the deduplication warehouse for use in other future tasks.

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Best practices and common misunderstandings about US Cable number screening

• Small batch testing first: For new detection types (such as US Telegram gender data), first use 500-1000 test runs to confirm that the returned fields meet expectations before expanding the scale.
• Recharge before submitting: Don’t wait until your balance is only a few dollars before submitting a big task. Recharge enough USDT in advance (minimum starting from about 50 USDT) to ensure continuous operation of multiple batches of tasks.
• Do not re-submit data without deduplication: If you submit two batches of tasks at the same time and the numbers overlap, both parties will be deducted. Be sure to import the deduplication warehouse first.
• Note the unit price of detection types: Telegram is usually the cheapest to activate detection, while activity and gender are slightly more expensive. See the real-time price of the console for details.

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FAQ

Question: Is there any difference between the detection of American TG numbers and ordinary numbers?

Answer: The testing process is completely the same. The US tg number only indicates that the country where the number belongs is the United States. KK-DATA supports number screening in more than 240 countries around the world. The distinction is based on the international area code and number segment of the number.

Question: How long does it take to complete the 100,000-level American Telegram number task?

Answer: The detection time is affected by the task volume, detection type (activated/active/gender) and platform queue. Usually the 100,000-level activation test can be completed within 1-2 hours. If activity and gender are included, it may take 3-6 hours. It is recommended to submit in parallel after splitting to shorten the total time.

Question: Can the tgid exported after large batch screening be used directly for adding powder?

Answer: tgid is the unique identifier of Telegram users, which can be used for subsequent precise contact. But please note: Telegram usage policies should be followed after exporting to avoid account restrictions caused by high-frequency operations.

Question: How to prevent the same batch of US Telegraph numbers from being repeatedly tested and charged?

Answer: It is recommended to import all historical numbers into the “Data Deduplication Warehouse” before submission. KK-DATA’s deduplication function will automatically match the numbers in the task, and no further charges will be deducted for the numbers that have been detected.

Question: I only have a few thousand US TG numbers, do I need to split them?

Answer: If there are less than 5,000 entries, there is usually no need to split them and they can be submitted directly. If it contains multiple detection types (such as simultaneous detection of activation + activity + gender), it is recommended to submit it in two times so that the detection parameters can be selected separately.

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It is not difficult to process 100,000-level US TG number screening numbers. The core lies in: splitting batches reasonably, making good use of data deduplication warehouse, turning on task notifications, and exporting results by stages. It is recommended that you first test the process with 500-1000 US Telegram numbers, and then expand to the full number after becoming familiar with it. You can start now:

👉Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot More documentation and usage guides: https://docs.kkdata.cc/