LINE Number Checker API Workflow for Automated Checks
The LINE check answers one question that most messengers do not ask: which numbers hold the ticket to an official account? On-LINE is the precondition...
Julian works on verification API integrations, batch jobs, CSV workflows, task polling, retry handling, result exports, and developer documentation. His guides explain how teams can integrate verification APIs safely and connect results with internal data systems.
View full author profile →The LINE check answers one question that most messengers do not ask: which numbers hold the ticket to an official account? On-LINE is the precondition for LINE-based brand messaging, and the API route exists to keep that ticket list current. The value is not the check itself. It is the cross-section: on-LINE by market, by segment, refreshed on a schedule. LINE Number Checker is the ZelNum page that supports this job: LINE Number Checker.
Quick answer
Submit the list through the API, receive the on-LINE status per record, and store it with the market, segment, and checked timestamp. Aggregate by market and segment on every run. The output is the OA-ready list, not a raw rate: which paying customers in strong markets hold a current on-LINE ticket.
The API workflow
- Submit the job. One request per batch, carrying the record set with market and segment fields.
- Poll or receive callbacks. Polling is fine at low volume; webhooks pay off when you act on results immediately.
- Store per record. Keep the on-LINE status, market, segment, and checked timestamp with the record ID.
- Aggregate the cross-section. On-LINE by market, by segment, is the output the pipeline exists to produce.
Keep the first call small. Submit a handful of records, confirm the response shape, then scale.
The cross-section read
Here is what an aggregated run looks like for one market:
| Segment | Japan on-LINE |
|---|---|
| Paying | 91% |
| Trial | 83% |
| Support | 78% |
(These figures are illustrative, not a product performance claim.)
Across markets, the same run shows the gradient: Japan strong, Taiwan strong, Thailand mixed, Indonesia thin. The paying segment in the strong markets is the OA invitation list. The trial segment is nurture. The thin markets are SMS territory.
Webhooks or polling?
Polling on a short interval is simpler for most teams. If you use webhooks, make the callback idempotent: processing the same event twice must not double-charge or double-write. One missed callback should never create a second paid job or overwrite a clean result with a blank one.
Export fields that matter
| Field | Why it matters |
|---|---|
record_id |
Joins the result back to the source. |
market / segment |
The two keys of the cross-section. |
on_line |
The ticket signal. |
checked_at |
The timestamp that makes the trend line possible. |
Mistakes to avoid
- Automating the check but not the OA funnel. A raw rate without the market-by-segment split is decoration. Route the cross-section into the invitation flow, or the schedule is just a report generator.
- Treating the last run as the current truth. An on-LINE ticket from March is a guess by July.
- Flattening the cross-section. A single overall percentage hides the market and segment split that decides where the OA campaign runs.
FAQ
What is the output of the LINE API pipeline?
The OA-ready list: which on-LINE rows in which markets and segments are current enough to invite. The raw rate is an intermediate step, not the deliverable.
Why aggregate by market and segment?
Because LINE’s reach varies by market and the row’s value varies by segment. The cross-section is the decision; the flat number is not.
How often should the API run?
Monthly is a good baseline, with a re-run before any big OA campaign. Ticket lists drift.
Webhooks or polling?
Polling for most teams. It is simpler, has fewer failure modes, and latency is irrelevant at low volume.
What happens to unknown rows?
They wait for a retry. Unknown is not dead, and a later run often resolves it.
Related ZelNum pages
- Bulk LINE Number Checker: CSV Upload and Result Export Guide for the file format details.
- LINE Number Checker Use Cases for how different teams read the same export.