Screen number system under 100,000-level tasks: How to ensure batch screen number stability through task splitting?

When you need to filter out active and targeted gender users on Telegram or WhatsApp from hundreds of thousands of mobile phone numbers, the stability of the screening system directly determines the success or failure of the project. Small batches of hundreds and thousands of levels can be run casually with scripts, but once the number reaches 100,000 or even millions, problems such as single submission, timeout, balance occupation, and repeated detection will be exposed. Based on actual operations, this article dismantles the task splitting strategy, platform selection points and cost control methods in the large-volume screening scenario, and takes KK-DATA as an example to help you build a stable “generate→filter→export” pipeline.

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What is the screening system? Why do 100,000-level tasks require special design?

The core capabilities of Screen Number System include: verifying whether the number is registered on the target platform (such as Telegram, WhatsApp), detecting its activity (how long ago it was online), identifying portrait fields such as user gender/age, and exporting IDs such as tgid, wsid, uid, etc. for subsequent marketing. When the number of tasks increases from a few hundred to 100,000 (100,000-1 million), the system load, timeout risk, and single task limit will all become bottlenecks.

Basic workflow of the screening system

1. Prepare a list of numbers (can import from CSV/TXT or use a number generation tool)
2. Select the detection platform and detection type (activated, active, gender, etc.)
3. Submit screening task
4. The system returns the result after asynchronous processing
5. Export qualified numbers and additional fields

Three major challenges to system stability caused by 100,000-level tasks

• Single task is too long: 500,000 items are submitted at one time, and the backend detection queue may time out or memory overflow, causing the task to fail without deduction (but a waste of time).
• Concentrated balance occupation: The estimated cost of large-volume tasks may lock all balances at once, affecting other parallel tasks.
• Waste of duplicate numbers: Duplicate numbers between different batches will be repeatedly detected, consuming the balance and slowing down the progress.

Professional platforms such as KK-DATA can support up to about 1 million items for a single task, but for 100,000-level tasks, it is still recommended to use a splitting strategy to ensure stability.

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When screening large batches of numbers, how to reasonably split tasks to ensure stability?

Reasonably splitting 100,000 numbers into multiple subtasks can avoid system timeouts and flexibly control costs and concurrency. The following are three dimensions of splitting.

Split by platform: Telegram, WhatsApp, Line have independent tasks

The detection interfaces and country distribution of different platforms vary greatly. It is recommended to package and submit the numbers separately according to the target platform.
For example: you have 100,000 numbers and need to screen active users of both Telegram and WhatsApp.

• Let’s start with a Telegram activity detection task of 50,000 items
• Another WhatsApp activation detection task with 50,000 messages In this way, the two tasks can be executed in parallel without interfering with each other, and the unit prices are different, making the separation clearer.

Split by detection type: Submit activation detection, activity detection, and gender detection separately.

Some numbers only need to verify whether they are registered, some need to determine activity, and some need to identify gender. It is recommended to break down the detection steps:

1. First do the activation test (lowest unit price) and screen out the registered numbers
2. Perform activity detection on the activated number and screen the online users in the last 30 days
3. Finally, perform gender detection on active users to obtain the target gender and age fields.

Only necessary numbers are detected at each step to avoid wasting balance by performing active detection on unactivated numbers.

Split by batch size: Recommended batch upper limit and time interval control

Taking KK-DATA as an example, although it supports million-level tasks, it is recommended that each batch of 100,000-level tasks be 10,000-50,000 submissions, and the interval between batches should be more than 30 seconds. In this way, each task can be completed within a few minutes to ten minutes, and will not occupy a large amount of balance for a long time. The platform will notify you via Telegram after the task is completed, and you can immediately view the results and decide the direction of the next batch of adjustments.

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Why is data deduplication important in the 100,000-level screening task?

Duplicate numbers will directly lead to duplicate detection, which not only wastes the balance, but also makes the exported data redundant. There are often 10%–30% duplicate numbers in a large customer database, and it is easy to cross-duplicate when submitting in batches.

The Deduplication Warehouse function allows you to remove duplicates across tasks: all numbers that have been detected will be recorded, and the system will automatically skip these numbers when submitting new tasks, and there will no longer be repeated deductions. For 100,000-level tasks, this step can save thousands or even tens of thousands of balances.

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How to choose a screening system to cope with high load concurrency?

There are two main methods on the market: building your own script to run batches, or using a professional screening platform. Let’s compare:

Compare dimensions	Self-built script	Professional screening platform (such as KK-DATA)
Concurrent processing	Rely on local IP, thread management, easy to block account	Asynchronous task queue + multi-node load
Timeout recovery	Manual retry, easy to lose progress	Breakpoint resume, no deduction for interruption
Balance control	The cost needs to be estimated in advance, no preview	The estimated cost is displayed before submission, and the fee is deducted on a per-item basis
Notification mechanism	You need to write polling or error reporting yourself	Telegram notification after task completion
Export format	Need to parse raw data by yourself	CSV/TXT one-click export, including field explanation

Common bottlenecks and risks of self-built screening scripts

• IP pollution: A large number of concurrent requests can easily trigger platform risk control.
• Difficulty with breakpoints: After a network abnormality or program crash, you can only restart from scratch.
• Data confusion: Different platforms return different formats, and parsing errors may lead to data loss.

How to improve the efficiency of the task queue and notification mechanism of the professional screening platform

Take KK-DATA as an example: after submitting a task, the platform puts it into the queue, and automatically allocates resources for detection in the background. The entire task will not be blocked because a certain number is stuck. After the results are generated, you can preview and export them in the console, or set up Telegram notifications through Two-way Contact Customer Service to get the results as soon as possible and start the next step.

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How to control costs and budget when screening large batches?

The advantage of Billing by Item (no subscription package) is “pay what you use”, which is especially suitable for flexible needs. However, it is not uncommon for a 100,000-level task to deplete the balance at once if there is no planning.

Specific cost strategy:

• First do a small batch survey: randomly select 200–500 numbers from the number pool to test the unit price and result quality of different platforms.
• Recharge in batches: Do not recharge a large amount of USDT at once. Run 10,000-20,000 items after each batch of recharges, and then replenish after verifying the ROI.
• Prefer low-cost testing: If you only need to verify registration, only do the “activation test”; only add “active” or “gender” testing when the quality requirements for leads are high.
• Real-time price of the console: For details of the unit price of each platform, please see Console or Billing Page.

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After using the sieve number system to complete large batch screening, how to efficiently export and utilize the data?

After filtering, you get a CSV or TXT file with multiple fields. Common field meanings:

• tgid / wsid / uid: User ID corresponding to the platform, used for subsequent group sending or private messages.
• Activity: For example, “Online in the last 7 days”, which can be used for hierarchical operations.
• Gender, age: such as “female, 28-35 years old”, used for precision marketing.

The exported data can be directly accessed:

• Group sending tool: Post by tgid or mobile phone number.
• CRM System: Classify by tags and do continuous follow-up.
• Community tiering: Highly active users will be invited to the VIP group first, and low-active users will be awakened.

Best Practice: Split the export results into multiple sub-files by platform, activity, and gender to avoid filtering during subsequent processing.

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Sieve Number System Frequently Asked Questions (FAQ)

**Q: How many numbers can be screened at most at one time? Will it fail because the number is too large? **

Answer: Taking KK-DATA as an example, the maximum number of single tasks is about 1 million, but it is recommended that tasks of 100,000 levels be split into batch submissions of 10,000-50,000 to avoid timeout and balance occupation. More than 30 seconds can pass between batches to improve overall stability. The specific upper limit is subject to the console display.

**Q: What fields are available for exported data after batch screening? **

Answer: The fields are different on different platforms. Telegram can export tgid, registration status, activity, gender, age, etc.; WhatsApp can export wsid, activation status, etc.; Line can export uid, etc. See the console export preview for a detailed field list.

**Q: In the pay-per-item mode, can I preview the charges before submitting? **

Answer: Yes. Before submitting the task, the console will display the estimated cost, and then execute it after confirmation. It cannot be submitted when the balance is insufficient, and you need to recharge first (USDT TRC20, minimum about 50 USDT).

**Q: Are the unit prices of screen sizes on different platforms the same? **

Answer: Not the same. Telegram, WhatsApp, Line, Zalo, iMessage and other platforms and different detection types have different unit prices. Please refer to the real-time price of the console. High-frequency testing types (such as activation testing) are cheaper, and value-added services such as gender testing are slightly more expensive.

**Q: If the task is interrupted halfway, will the data be lost? **

Answer: Professional screening platforms usually have a task resuming mechanism. The balance will be deducted after the KK-DATA task is completed. Tasks that are interrupted midway will not be deducted and can be resubmitted. The actual performance of the platform shall prevail.

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Experience the efficient and stable screening system immediately and log in to the console to create your first batch of 100,000-level screening tasks. If you have customization needs, you can get one-on-one assistance through two-way contact customer service. For more usage tutorials, please refer to the official documentation.

👉 Log in to the console to start screening numbers Two-way contact customer service: https://t.me/kkdata_robot Official website: https://kkdata.cc/ Documentation: https://docs.kkdata.cc/