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Platforms do not share one model. They scope limits differently, reset at different points, and report partial failures in different ways. The examples below come from official documentation for X, LinkedIn, and the YouTube Data API. They are not a survey of every social network.
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Model the import as a resumable job
A social import can run for minutes or hours across many items. A single spinner hides too much, so give the job explicit states and keep them visible to the user.
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|---|---|---|
| Connecting | Checking the account connection | Credentials validated and required permissions confirmed |
| Fetching | Count of items retrieved so far | Next page or batch returned |
| Processing | Count of items saved | Each item saved or marked failed |
| Paused for a limit | The time the job will resume | Reset time passes; the job resumes from its checkpoint |
| Needs account attention | A reconnect prompt that names the cause | User reconnects or fixes access |
| Partially complete | Imported count, failed count, and the list of failed items | User retries failed items or accepts the gap |
| Complete | Final counts and completion time | Nothing further |
| Failed | The cause, whether retry is possible, and a retry action | Manual retry after automatic retries are exhausted |
Store a checkpoint, not just a status
Checkpoint design is an implementation choice, not a platform guarantee. For each job, persist:
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- The job ID and the connected account it belongs to.
- The last page, cursor, or batch boundary confirmed as saved, using whatever paging the platform returns.
- A status for each item, keyed by the platform’s item ID.
- For failed items: the error class, HTTP status, attempt count, and the earliest time the next attempt is allowed.
Keying every write on the platform’s item ID is what makes a resumed job safe. Re-saving an item you already hold should change nothing, and your storage layer has to enforce that.
Classify each failure by the action it requires
Do not show a generic “Try again” for every error. Map each signal to one of four responses: reconnect, wait, retry automatically, or skip the item. The status categories below come from X’s response codes and errors guide and LinkedIn’s error handling guide.
| Signal | Typical meaning | Recommended action |
|---|---|---|
| 400 malformed request | The request itself is wrong, and resending it will fail again. | Stop, fix the client code, and log the error detail. |
| 401 invalid or expired authentication (X). LinkedIn reports expired and revoked tokens as their own category. | The stored credential no longer works. | Stop, set the job to Needs account attention, and ask the user to reconnect. |
| 403 insufficient permission (LinkedIn reports missing permissions as 403 failures) | The account or app lacks access. On X, some endpoints need additional user-granted permission. | Stop, name the missing permission, and have the user reconnect with it. |
| 404 unavailable or deleted resource | The item no longer exists or is not accessible. | Mark the item unavailable and continue. |
| 409 conflict | X documents this as a client error. | Decide from the detail field whether to skip the item or stop the job. |
| Deprecated API version header (LinkedIn) | The client calls a version the platform has retired. | Treat it as an engineering alert and ship a client update. Do not ask the user to act. |
| 429 rate limit | Your app or member has exceeded a limit. | Pause until the reset time, then resume automatically. |
| 500 to 504 server or gateway errors, including 504 timeouts | Transient and server-side. | Retry with backoff up to a fixed cap. |
Make throttling predictable
Limits determine how long a large import can run, and each platform defines them differently. Read the platform’s own metadata rather than assuming a shared number.
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Read each platform’s reset signal
- X: use the
x-rate-limit-resetheader to learn when the window resets. X’s guide also documents headers for the maximum and remaining request counts. The numbers in its example responses are illustrative, not quotas. - LinkedIn: limits apply per application and per member, reset at midnight UTC each day, and return HTTP 429 when exceeded. Limits vary by endpoint, and the general documentation does not publish standard values. Read the figures for your application in the Developer Portal. See LinkedIn’s rate limit guide.
- YouTube Data API: endpoints other than search.list and videos.insert draw from a combined default pool of 10,000 units per day. search.list and videos.insert have separate default allocations, listed at 100 each on the cited page, and those sit outside that pool. Check the reset point on the live quota and compliance audit guide before you hard-code one.
Retry in a fixed order
Start every retry decision from the HTTP status. X’s guide states the rule directly:
“Always check HTTP status before parsing the response body.”
X Developer Platform, “Response Codes & Errors”
- Check the HTTP status before parsing the body.
- If the status is 200 but the body includes an
errorsarray, save the returned data and handle the errored items separately, as described in the partial-success section below. - For 401 and 403, do not retry. Move the job to Needs account attention.
- For 429, schedule the next attempt at the reset time the platform provides. If no reset time is provided, use exponential backoff. X recommends backoff for both 429 and 5xx errors.
- For 500 to 504, retry with exponential backoff and random jitter, up to a fixed attempt cap. The jitter and the cap are implementation choices.
- After the cap, move the job to Failed with a manual retry action and keep the checkpoint intact.
Watch quota before it runs out
- LinkedIn emails developer admins when an application reaches 75% of its assigned rate-limit quota. These alerts are application-level and arrive roughly 1 to 2 hours late, so they are no substitute for tracking member-level usage yourself. Keep your own per-member counter for large historical imports.
- YouTube additional quota requires a compliance audit, according to the cited guidance. Spread large backfills across days rather than assuming a higher allowance will arrive.
Handle partial success and reconnects
An HTTP 200 does not guarantee a complete collection. X documents that a request for multiple resources can return a 200 with both data and errors when some resources are unavailable. An import that treats 200 as done will drop those items without telling anyone.
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Record outcomes per item
Suppose a batch of 50 posts returns 46 in data and 4 in errors. Save the 46, mark the 4 with their error type and detail, and display “46 imported, 4 unavailable” rather than “Import complete.” Users can then decide whether the gap matters.
Retry only failed work, and only where it is safe
Retry the items marked transient instead of re-fetching the whole collection, which repeats work and can consume the same limit again. Whether a subset can be requested again depends on each endpoint’s behavior, so confirm that per endpoint before you build it.
Resume ongoing sync after a reconnect
For ongoing sync, X documents automatic stream reconnection with backoff and recovery features for missed data. Your own last-processed marker still determines where your pipeline resumes without re-importing everything, so store it with each committed batch.
Write recovery messages that name the next step
A recovery message should say what completed, what remains, and what happens next, including any wait time. The examples below are illustrative copy, not text taken from any platform.
- “Reconnect needed. LinkedIn no longer accepts this account’s access. The 1,240 items already saved are kept. Reconnect to fetch the remaining items.”
- “Paused until the limit resets at midnight UTC. 2,800 items remain and will resume automatically.”
- “Finished with gaps. 118 of 125 items imported; 7 are unavailable on the platform. Retry those 7 or keep the import as it is.”
- “Temporary problem. The platform returned a server error. Retrying in 4 minutes (attempt 2 of 5).”
Keep diagnostics useful and safe
When an import fails, support needs enough context to reproduce the problem without seeing a secret. Capture:
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- The endpoint or operation, and the HTTP method.
- The timestamp, HTTP status, and attempt number.
- The structured error fields the platform returns. X’s errors carry
type,title, anddetail. - The request identifier, if the platform or your gateway provides one.
- The job ID, the item ID, and the checkpoint at the time of failure.
LinkedIn’s error guidance asks developers to record request and response details when reporting persistent internal errors. Redact access tokens, refresh tokens, and other secrets before any diagnostic record is written, and never show them in user-facing messages.
Compare platform behavior on operational axes
The table compares the axes that change an import’s design. X’s authorization rules are described in its API access guide, and the error and limit details come from the guides linked above. “Not stated” means the cited page does not establish that behavior, so do not assume one.
| Axis | X | YouTube Data API | |
|---|---|---|---|
| Authorization and access | Applications must register. Public information is the default, and some endpoints need additional user-granted permission. | Expired or revoked tokens and missing permissions (403) are reported as distinct error categories. | Not stated in the cited quota guidance. |
| Limit scope | Rate-limit headers report maximum and remaining requests. Per-endpoint values are not stated in the cited error guide. | Applied per application and per member. Values vary by endpoint and are shown in the Developer Portal. | Combined default pool of 10,000 units per day for endpoints other than search.list and videos.insert. Separate default allocations for search.list and videos.insert, listed at 100 each. |
| Reset behavior | Reset time is provided in the x-rate-limit-reset header. |
Resets at midnight UTC daily. | Per day. The exact reset point is not stated in the cited quota guidance. |
| Partial success | A 200 response can carry data and errors together. |
Not stated in the cited error guide. | Not stated in the cited quota guidance. |
| Error detail | Structured type, title, and detail fields. |
Status categories are documented. Response body fields are not summarised in the cited guide. | Not stated in the cited quota guidance. |
| Recovery options | Exponential backoff for 429 and 5xx errors. Automatic stream reconnection with backoff and recovery features for missed data. | Caching and retry patterns for timeouts. Record request and response details for persistent 500 errors. | Additional quota requires a compliance audit. |
These three platforms are examples of the axes to compare. Your own integration should be checked against its platform’s current documentation.
Test failure paths before launch
Run each path against a test account before release. Every case should end in a state the user can understand.
Quick Recap
- A 429 with a reset time in the future: the job pauses and resumes at that time, not earlier.
- A 200 response containing both
dataanderrors: successful items are saved, errored items are marked, and the job shows Partially complete. - A revoked token during a running job: retries stop, the job moves to Needs account attention, and saved items remain.
- A 504 during processing: retries stop at the cap, the checkpoint is preserved, and a resumed job creates no duplicate records.
- A diagnostic record: it contains no token strings.
Scope and dates to verify
- Instagram and other Meta products are not covered here. Check Meta’s current developer documentation before designing Instagram-specific import flows.
- The LinkedIn rate-limit guide was last updated 2025-08-20, and the error-handling guide was last updated 2025-03-24. Confirm limits and API version requirements on the live pages before you hard-code them.
- The YouTube quota guide does not state a year. Its default allocations and audit policy may have changed since it was written, so treat the exact values as volatile.
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