LINE Number Checker API Workflow for Automated Checks
The LINE check answers one question most messengers do not ask: which numbers hold the ticket to official-account conversion? On-LINE status is the precondition for every OA invitation, and it is a point-in-time claim — accounts churn between campaigns, especially in seasonal markets like Japan where messaging behavior moves with the calendar. The API route exists so the check rides the campaign schedule instead of trailing it. The tool behind the workflow: LINE Checker.
Quick answer
Submit numbers with record IDs and market fields, store on-LINE status per row per run, re-check the invitation segment within days of every OA wave, and alert on flips — newly off-LINE rows leave the invitation list; newly on-LINE rows enter it. The invitation list is the deliverable, and its freshness is the whole point.
The fields to send and keep
| Field | Flow | Why |
|---|---|---|
record_id |
Send | Connects results to the CRM. Text format, prefixes intact. |
input_number |
Send | Original value, unchanged. Normalization is the check's job. |
market |
Send or preserve | Japan, Thailand, Taiwan, other. The blended on-LINE rate plans nothing — the split does. |
segment |
Send if known | Paying vs trial. Same on-LINE status, different invitation flows. |
on_line_status |
Receive | The ticket: on, off, unknown at check time. |
checked_at |
Store | Per row, per run. Invitation freshness is measured from this column. |
Cadence built around OA waves
The workflow anchors on the invitation calendar. A full-list check at wave planning gives the budget its numbers; a re-check of the invitation segment in the final days before the wave catches the churn between planning and sending. Between waves, quarterly checks keep the stored picture honest. The rule that pays for itself: never send an invitation wave against a list checked weeks earlier. On-LINE status drifts, and in Japan the drift accelerates around holidays and campaign seasons when account activity spikes.
Drift alerts worth building
- Newly off-LINE: held a ticket at last run, does not now. Out of the invitation list, into a re-check queue. No meeting required.
- Newly on-LINE: the reverse — organic ticket growth. On a Japan-heavy base this column refills the invitation list between purchases, which is budget the pipeline finds for free.
- Market-shift alerts: the on-LINE share in any single market moving more than a couple of points between runs. Blended averages hide this; the market field surfaces it.
Alerts carry record IDs, market, and both runs' values. Counts without identifiers are trivia.
Idempotency and retry handling
Write with (record_id, run_id) as the key, upserting on conflict. Duplicate polled results must not double-count a flip, or the invitation list grows rows that were never real. Unknown rows retry on an automatic schedule after a few days; treating unknown as off-LINE permanently deletes tickets that were only sleeping, and every one of those tickets had a customer value attached.
What a year of runs looks like
Quarterly checks on a 40,000-row base split Japan and Thailand, illustrative shape:
| Run | On-LINE (Japan) | On-LINE (Thailand) | Newly on-LINE |
|---|---|---|---|
| Q1 | 84% | 56% | — |
| Q2 | 83% | 57% | 1.9% |
| Q3 | 82% | 58% | 2.2% |
(Illustrative rows to demonstrate the math, not a benchmark.)
Read the two market columns as different businesses, because they are. Japan's slow decline is churn in a saturated base — manageable, expected. Thailand's slow rise is market growth, and the newly on-LINE column is its intake: roughly 800 to 900 tickets per quarter on this base, each one an invitation candidate nobody had to buy. A workflow without drift tracking misses all of them and re-purchases them instead.
Mistakes to avoid
- Planning on blended rates. The Japan number and the Thailand number cannot share one budget line. Any tool or export that refuses to split them is not usable for LINE.
- Sending stale invitations. Weeks-old status means inviting accounts that left and skipping accounts that arrived. The pre-wave re-check is part of the wave.
- Overwriting status in place. No history means no drift, no newly-on-LINE intake, and no honest re-check comparisons.
- Ignoring the segment field. Paying and trial users with identical status belong in different flows. Merging them wrecks both conversion curves.
FAQ
What is the output of the LINE API pipeline?
Fresh on-LINE tickets with market and segment context, plus drift lists: newly off, newly on, and market-share shifts. The pre-wave invitation list is the deliverable.
How often should the API run?
Full list quarterly, invitation segment re-checked within days of every OA wave, monthly for always-on messaging programs.
Webhooks or polling?
Polling. The cadence is campaign-driven and latency is irrelevant. Polling keeps the failure surface small.
What should trigger an alert?
Any status flip in either direction, plus market-share shifts beyond a couple of points — with row IDs plus both runs' outputs.
How are unknown rows handled?
Unknowns get an automatic second look after a few days; escalation kicks in only after two runs leave a row unresolved.
Related ZelNum pages
- LINE Number Checker Use Cases, covering how teams read the export.
- Bulk LINE Number Checker: the CSV guide & export format, which documents the file format.
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.
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