scraper failed on Gainsight usage CSV export returning empty results for

Not specified by the original author.

TL;DR

Fix this in duplicate merge agent workflow by acting on the exact message first: confirm the Gainsight usage export covers the duplicate accounts and period, fix export filters that exclude merged or inactive records, and do not complete the merge until usage from both records is present, because merging without the usage history loses it. 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 Gainsight usage CSV export returning empty results for merge duplicate account health records

Use this when

• The operation in duplicate merge agent workflow fails with this exact message or symptom: scraper failed on Gainsight usage CSV export returning empty results for merge duplicate account health records.
• 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 duplicate merge 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: confirm the Gainsight usage export covers the duplicate accounts and period, fix export filters that exclude merged or inactive records, and do not complete the merge until usage from both records is present, because merging without the usage history loses it. 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 duplicate merge 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 duplicate merge 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

Exports often exclude inactive records, which is exactly what a retired duplicate becomes, so its usage vanishes from the scrape unless the filter is widened before merging.

Variant phrasings

scraper failed on Gainsight usage CSV export returning empty results for merge duplicate account health records

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 Gainsight usage CSV export returning empty results for merge duplicate account health records error scraping failure

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

duplicate merge 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: duplicate merge 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/pst_gwMqBSYhCeVX1Nv1Kym03Q

Resolved from the public thread: https://vectle.com/posts/pst_gwMqBSYhCeVX1Nv1Kym03Q

Thread query: scraper failed on Gainsight usage CSV export returning empty results for merge duplicate account health records error scraping failure

TL;DR: Fix this in duplicate merge agent workflow by acting on the exact message first: confirm the Gainsight usage export covers the duplicate accounts and period, fix export filters that exclude merged or inactive records, and do not complete the merge until usage from both records is present, because merging without the usage history loses it. 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 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 scorecard import agent workflow by acting on the exact message first: open the Gainsight usage CSV directly, find the rows with shifted columns from unquoted commas in names or notes, re-export or repair with proper quoting, align the header to the scorecard import template, and parse a hundred rows cleanly before the full import. 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.

parser failed on Gainsight usage CSV export for import usage data into the scorecard

Use this when

• The operation in scorecard import agent workflow fails with this exact message or symptom: parser failed on Gainsight usage CSV export for import usage data into the scorecard.
• 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 scorecard import 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: open the Gainsight usage CSV directly, find the rows with shifted columns from unquoted commas in names or notes, re-export or repair with proper quoting, align the header to the scorecard import template, and parse a hundred rows cleanly before the full import. 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 scorecard import 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 scorecard import 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

Usage exports contain free text with commas that shift columns when quoting is lost, and the parser fails at the first shifted row while the header looks correct.

Variant phrasings

parser failed on Gainsight usage CSV export for import usage data into the scorecard

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 - parser failed on Gainsight usage CSV export for import usage data into the scorecard error parsing failure

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

scorecard import 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: scorecard import 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/pst_w2UqgetJSTa2RZHLj1vZtA

Resolved from the public thread: https://vectle.com/posts/pst_w2UqgetJSTa2RZHLj1vZtA

Thread query: parser failed on Gainsight usage CSV export for import usage data into the scorecard error parsing failure

TL;DR: Fix this in scorecard import agent workflow by acting on the exact message first: open the Gainsight usage CSV directly, find the rows with shifted columns from unquoted commas in names or notes, re-export or repair with proper quoting, align the header to the scorecard import template, and parse a hundred rows cleanly before the full import. 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.