A complete guide to task splitting and stability for 100,000-level Telegram screening tasks: avoid failure and improve efficiency

For overseas marketing, cross-border e-commerce and community operation teams, telegram screen number is the core link in preparing customer acquisition data. When you need to verify the validity and activity of hundreds of thousands or even millions of numbers, directly submitting a very large task will often lead to failures, timeouts, or a large number of repeated detections. This article will provide a set of large-scale telegram sieve stability solutions that can be implemented from task splitting, platform function utilization, execution monitoring to result interpretation.

Why do large batches of Telegram accounts easily fail?

For screening tasks with levels above 100,000, the high probability of failure is usually due to the following factors:

• Single submission is too large: The system cannot process millions of records within a reasonable time, causing the connection to time out or be actively disconnected by the server.
• Third-party interface current limiting: Telegram screening accounts rely on detection requests to the Telegram server. High-frequency submissions in a short period of time will trigger current limiting or even block the detection source.
• Poor number data quality: Numbers containing a large number of invalid formats (such as missing country codes and incorrect digits) will slow down the overall progress and waste deductions.
• No data deduplication: Repeated submission of detected numbers will not only waste balance, but also increase invalid task load.

H3: Common reasons for failure: timeout, current limit, repeated detection

Timeouts generally occur during the task processing stage, especially when detecting mixed detection types (such as detecting activation + activity + gender at the same time). The time consumption of a single detection is superimposed, and the overall detection limit is easily exceeded. Current limiting means that some numbers return “undetected” or have an empty status. Duplicate testing is the most hidden cost black hole - many teams repeatedly submit the same numbers in different batches, and the balance consumption is far higher than expected.

H3: “Timeliness” issue of valid numbers

The registration status and activity of Telegram numbers change over time. A number is activated today and may be deregistered tomorrow; the activity window (such as online in the past 30 days) is also dynamic. Therefore, it is recommended to put the most stringent time window at the front of the task queue, or process it in batches in reverse chronological order (processing the most recently collected numbers first) to avoid distortion of results caused by waiting too long.

How to scientifically split Telegram screening tasks ranging from ten to one million levels?

Task splitting is the first principle of stability. The specific splitting granularity should be determined based on the total number of numbers. The following is a recommended strategy:

Total number	Single submission limit	Recommended interval	Remarks
< 10,000 items	Submit all at once	No need to wait	Small batches can be run directly
10,000–100,000 items	10,000 items each time	Wait 5–10 minutes after the task is completed before submitting the next batch	Easy to monitor task progress
100,000–1 million items	5,000–10,000 items each time	Wait 15–30 minutes after the task is completed	Cooperate with the deduplication warehouse to avoid duplication

H3: Batch by country/operator

Numbers from different countries or operators may have differences in detection efficiency. For example, the detection success rate and response speed of +1 numbers in the United States and +84 numbers in Vietnam are different. It is recommended to group tasks by country number and submit tasks separately for each group, so that even if a problem occurs in one group, it will not affect the normal detection of other groups.

H3: Batch by activity window

If you need “active in the last 7 days” data, and the number pool contains a large number of numbers collected early, you can do an “activation test” first, then select the numbers from the activation results and then submit the “activity test”. This can reduce useless detection - many numbers that are not activated at all do not need to enter the active detection stage. KK-DATA supports selecting multiple detection types at the same time in a single task. However, if the result fields need to be used hierarchically, it is more efficient to submit in batches.

How to use platform functions to ensure the stability of large batches of screen numbers?

Proper use of the built-in functions of the platform can significantly reduce the risk of large-volume tasks.

Data deduplication warehouse - automatic deduplication across tasks

In the KK-DATA console, when submitting a new task, the system will automatically compare it with the detected numbers in the historical database. After deduplication is enabled, duplicate numbers will be removed from the current task and no deduction will be incurred. This is especially important for billion-level tasks that are submitted in batches - because numbers from different batches are likely to overlap.

Task notification and real-time balance estimation

It is recommended to turn on the task completion notification (via Telegram bot) before submitting the task, so that you do not have to stare at the web page all the time. At the same time, the console will display the estimated cost before submission. Make sure the balance is sufficient before submitting. If the balance is insufficient, the task will fail directly.

Key implementation points in the execution of large-scale Telegram screening tasks

The complete operation chain is as follows:

**Prepare data → Split subtasks → Submit the first group → Monitoring is completed → Export results → Submit the next group (if there is duplication, the detection will be automatically skipped) **

H3: Pre-execution checklist

1. Data format verification: The number must contain the country code, use CSV or TXT format, one number per line. Avoid spaces and special symbols.
2. Balance Confirmation: Check the console balance to ensure that it can at least cover the total estimated cost of the batch task. If the balance is insufficient, recharge first (the minimum recharge for USDT TRC20 is about 50 USDT).
3. Detection type is clear: Do you only need to enable detection, or do you also need activity level and gender? Different detection types have different unit prices (see the real-time price on the console for details). Select the most necessary type according to the customer acquisition target to avoid redundant detection.
4. Turn on task notification: Bind your Telegram account in the console settings and you will receive a notification when the task is completed.

H3: Monitoring and interrupt handling during execution

• Task Failure: Check the reason for failure. Common ones are insufficient balance or data format issues. Just make corrections and resubmit.
• Insufficient Balance: If the balance is exhausted halfway through the task execution, the unfinished numbers will be discarded. After recharging, you need to resubmit the remaining numbers (the deduplication warehouse will automatically skip the detected ones).
• Add numbers midway: If you find that there are more numbers that need to be added, you can add new tasks. It is recommended to merge the new number with the old number to remove duplicates before submitting to avoid duplication.

Several things you should do before screening large batches of numbers

1. Do a small batch test first: Run once with 100-500 numbers to confirm whether the detection type, output fields, and export format are as expected. This avoids total failure due to formatting errors.
2. Familiar with the billing model: KK-DATA adopts billing by item and does not have a subscription package. The balance will be deducted after recharging. The unit price varies depending on the platform and detection type. You pay for what you use and is suitable for large-volume scenarios.
3. Prepare number generation (optional): If the number source is insufficient, you can use the platform’s global number generator (supports 240+ countries/regions), which is free of charge. Submit the screen number directly after generation to form a “Generate → Filter → Export” pipeline.

How to evaluate the reliability of Telegram filter results?

The reliability of your results depends on how your understanding of the fields matches your business goals.

• “Activated”: The number has been registered with Telegram and can receive messages (but may not view them in time).
• “Active”: The number has had online behavior within the specified time window (such as the past 30 days), and the private message reach rate is higher.
• “Gender”: Inferred based on public data, can be used for targeted content push (such as targeting men/women). Note that the age field is an interval estimate, not an ID card-level accuracy.

If you want to add followers to the community (invite to join the group), activation + activity are the basic conditions; if it is private message promotion, the higher the activity, the better. If the target user is of a certain age group (such as around 30 years old), you can use the age field in the gender detection results to filter. It is recommended to check all required dimensions in the export field, and then filter by conditions in the tool.

FAQ

**Q: Will screening a large number of Telegram numbers cause my account to be restricted? ** Answer: Screening is to initiate a detection request to the target number, rather than sending a message to the user, so it will not directly affect your account. However, if the amount of a single submission is too large, the system may trigger current limiting and cause the task to fail. It is recommended to split tasks as recommended in this article and use platform task queue management.

**Q: How to avoid wasting money on repeated testing of the same number? ** Answer: Use the data deduplication warehouse function. Before submitting a new task, the system will automatically compare the historical database and automatically eliminate the detected numbers to ensure that every deduction is spent on a new number. This is the core means of cost control in high-volume scenarios.

**Q: What does “tg active” in the screen number results specifically mean? ** Answer: It refers to whether the number has any online activities within the specified time window (such as the past 30 days). You can choose different active windows according to customer acquisition scenarios. The higher the activity, the higher the success rate of private message reaching and adding followers.

**Q: Can the generated random numbers be used directly for screening? ** Answer: Yes. The platform’s built-in number generator supports 240+ countries/regions, and number generation is free. You can first generate a large number of candidate numbers, and then submit the screening numbers to check the validity and activity, forming a complete customer acquisition data pipeline.

**Q: How fast is the screening speed? ** A: Speed is affected by the number of tasks, detection type and network status. Usually in a 100,000-level task, all detections can be completed within a few hours after reasonable division. The specific duration is based on the console task progress. It is recommended to turn on the completion notification so that you do not need to stare at the page all the time.

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The above is the complete guide for bulk telegram screening. If you need to get started quickly, you can directly access the Application Console to start creating tasks. If you encounter any problems, you are welcome to get real-time help through two-way contact customer service.

👉 Log in to the console to start screening numbers Two-way contact customer service https://t.me/kkdata_robot For more documentation, please refer to Usage Documentation