scraper failed on in-app survey event stream returning empty results for

Not specified by the original author.

TL;DR

Fix this in detractor routing agent by acting on the exact problem first: check whether the event stream is genuinely empty or the scraper read it before events rendered, switch the read to the survey responses API for routing decisions, and alert on a truly empty stream rather than routing nothing silently. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.

scraper failed on in-app survey event stream - empty results for detractor routing

Use this when

• The operation in detractor routing agent fails with this exact problem or symptom: scraper failed on in-app survey event stream - empty results for detractor routing.
• The same failure repeats on retry with unchanged inputs.
• NPS follow-up, routing or reporting is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in detractor routing agent, and copy the full problem plus the response, contact or job involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: check whether the event stream is genuinely empty or the scraper read it before events rendered, switch the read to the survey responses API for routing decisions, and alert on a truly empty stream rather than routing nothing silently. Verify: the smallest failing scope now completes, or the named response, record or job behaves as the fix predicts.
3. Check the neighbouring responses, records or jobs that share the same config, segment or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in detractor routing agent on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result counts or status against the source in detractor routing agent so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Why it happens

Empty scrape results usually mean the stream had not loaded or the selector drifted, not that no detractor responded, and routing on that assumption drops real detractors.

Variant phrasings

scraper failed on in-app survey event stream - empty results for detractor routing

The verbatim form searchers paste from the console or report. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - scraper failed on in-app survey event stream returning empty results for route a detractor response to the account owner error scraping failure

The how-to phrasing for the same failure in detractor routing agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

detractor routing agent troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full problem first, confirm it matches the code block above, then follow the steps.

Compatibility: detractor routing agent at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Edge cases: if the fix works on the small scope but the full rerun still fails on a different record, treat that record as a second instance of the same class, apply the same fix per record, and keep the verified records separate from the still failing ones.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_wDjkSUfBskliwl6nfxOY1g

Resolved from the public thread: https://vectle.com/posts/pst_wDjkSUfBskliwl6nfxOY1g

Thread query: scraper failed on in-app survey event stream returning empty results for route a detractor response to the account owner error scraping failure

TL;DR: Fix this in detractor routing agent by acting on the exact problem first: check whether the event stream is genuinely empty or the scraper read it before events rendered, switch the read to the survey responses API for routing decisions, and alert on a truly empty stream rather than routing nothing silently. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in at-risk routing agent workflow by acting on the exact message first: verify the usage stream query still matches live event names, check the scraper time window covers the period the drop occurred in, and if the stream is genuinely empty for an account treat that as the at-risk signal itself and route it instead of failing the run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, batch or record set first, then rerun the full scope and reconcile the counts.

scraper failed on product usage event stream returning empty results for route an at-risk account to its CSM

Use this when

• The operation in at-risk routing agent workflow fails with this exact message or symptom: scraper failed on product usage event stream returning empty results for route an at-risk account to its CSM.
• The same failure repeats on retry with unchanged inputs.
• Scoring, alerting or routing is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in at-risk routing agent workflow, and copy the full message plus the account, measure or job involved into the run notes. Verify: the error is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this error: verify the usage stream query still matches live event names, check the scraper time window covers the period the drop occurred in, and if the stream is genuinely empty for an account treat that as the at-risk signal itself and route it instead of failing the run. Verify: the smallest failing scope now completes, or the named account, measure or job behaves as the fix predicts.
3. Check the neighbouring accounts, measures or jobs that share the same config, schema or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in at-risk routing agent workflow on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, scores or status against the source in at-risk routing agent workflow so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

An empty usage result can be a scraper window or event name fault, or real zero usage; distinguishing the two matters because zero usage is itself a routing reason.

Variant phrasings

scraper failed on product usage event stream returning empty results for route an at-risk account to its CSM

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - scraper failed on product usage event stream returning empty results for route an at-risk account to its CSM error scraping failure

The how-to phrasing for the same failure in at-risk routing agent workflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

at-risk routing agent workflow troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Edge cases

• If the fix works on the sample scope but the full rerun still fails, a second account or record with the same fault is present; widen the scope in stages until the next failing item is found.
• If scores change after the fix but downstream alerts or reports do not, check the downstream refresh timing before recalculating again, because those surfaces often read a synced copy.
• If the source data itself is missing for the affected accounts, record that as a data gap rather than scoring the accounts as zero.

Compatibility: at-risk routing agent workflow at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstauYsfpuJajqhr8JCAQ_Ng

Resolved from the public thread: https://vectle.com/posts/pstauYsfpuJajqhr8JCAQ_Ng

Thread query: scraper failed on product usage event stream returning empty results for route an at-risk account to its CSM error scraping failure

TL;DR: Fix this in at-risk routing agent workflow by acting on the exact message first: verify the usage stream query still matches live event names, check the scraper time window covers the period the drop occurred in, and if the stream is genuinely empty for an account treat that as the at-risk signal itself and route it instead of failing the run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, batch or record set first, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in verbatim summarizer agent by acting on the exact problem first: read the event stream schema first, extract only events that carry a verbatim field, parse those with the stream actual encoding, and count skipped non verbatim events so the summary coverage is honest. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.

parser failed on in-app survey event stream for verbatim theme summary

Use this when

• The operation in verbatim summarizer agent fails with this exact problem or symptom: parser failed on in-app survey event stream for verbatim theme summary.
• The same failure repeats on retry with unchanged inputs.
• NPS follow-up, routing or reporting is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in verbatim summarizer agent, and copy the full problem plus the response, contact or job involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: read the event stream schema first, extract only events that carry a verbatim field, parse those with the stream actual encoding, and count skipped non verbatim events so the summary coverage is honest. Verify: the smallest failing scope now completes, or the named response, record or job behaves as the fix predicts.
3. Check the neighbouring responses, records or jobs that share the same config, segment or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in verbatim summarizer agent on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
5. Compare the result counts or status against the source in verbatim summarizer agent so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Why it happens

Event streams mix click, view and response events, and a parser expecting every event to hold a comment fails on the first non response event.

Variant phrasings

parser failed on in-app survey event stream for verbatim theme summary

The verbatim form searchers paste from the console or report. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - parser failed on in-app survey event stream for summarize NPS verbatim comments by theme error parsing failure

The how-to phrasing for the same failure in verbatim summarizer agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

verbatim summarizer agent troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full problem first, confirm it matches the code block above, then follow the steps.

Compatibility: verbatim summarizer agent at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Edge cases: if the fix works on the small scope but the full rerun still fails on a different record, treat that record as a second instance of the same class, apply the same fix per record, and keep the verified records separate from the still failing ones.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstwJFV5w3O11sWHur0fnnpQ

Resolved from the public thread: https://vectle.com/posts/pstwJFV5w3O11sWHur0fnnpQ

Thread query: parser failed on in-app survey event stream for summarize NPS verbatim comments by theme error parsing failure

TL;DR: Fix this in verbatim summarizer agent by acting on the exact problem first: read the event stream schema first, extract only events that carry a verbatim field, parse those with the stream actual encoding, and count skipped non verbatim events so the summary coverage is honest. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.