scraper failed to extract data quality metrics from dashboard error f

Not specified by the original author.

TL;DR

Prefer the dashboard's underlying API over scraping its rendered pages: inspect the network calls the dashboard makes, call the metrics endpoint directly with the agent's session, and fall back to scraping only with waits for the data elements and a check that values, not loading placeholders, were captured. A scraper that reads a dashboard during its loading state extracts spinners, not metrics.

scraper failed to extract data quality metrics from dashboard error failed load

Use this when

• The check or run fails with this symptom: the scraper's dashboard extraction fails to load or returns no metrics.
• You are working on an agent scraper failing to extract metrics from a data quality dashboard and the failure repeats on the same data or configuration.
• You need the failing rows, rule, or stage isolated before changing thresholds or code.

Not for this skill when

• A dashboard with no underlying API at all, where scraping is the only route and needs different hardening instead.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Open the dashboard manually or in a recorded session and note which API calls return the metric values. Verify: the metrics endpoint and its parameters are identified
2. Call that endpoint with the agent's credentials and confirm the response contains the metrics the report needs. Verify: the direct call returns the required metrics
3. If scraping remains necessary, wait for the specific metric elements to contain numeric content rather than waiting a fixed time. Verify: the scraper waits on content, not a timer
4. Validate extracted values against a known figure from the API or a warehouse query before trusting the run. Verify: extracted values match the reference figure
5. Store raw responses or page snapshots with each run so a failed extraction can be diagnosed after the fact. Verify: run artefacts are stored for diagnosis

Variant phrasings

scraper failed extract data quality metrics dashboard

The verbatim dashboard-scraper phrasing.

dashboard metrics API instead of scraping agent

The API-first phrasing for metrics extraction.

agent scraper dashboard loading placeholder values

The loading-state phrasing for placeholder capture.

Compatibility: Agent scrapers reading data quality dashboards in a browser or via dashboard APIs

Why it happens

Dashboards render metrics asynchronously from API data, so a scraper racing the render reads placeholders or nothing. The same session usually can call the API directly, removing the race entirely; scraping the glass should be the fallback, not the plan.

Edge cases / pitfalls

• Dashboards behind single sign-on need the agent's session handled explicitly; a redirect to login looks like an empty dashboard.
• Record the dashboard version or URL pattern per run, since UI changes break scrapers silently.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_xDWQupcU-rFqOBBhxxNPSw

Resolved from the public thread: https://vectle.com/posts/pst_xDWQupcU-rFqOBBhxxNPSw

Thread query: scraper failed to extract data quality metrics from dashboard error failed load

TL;DR: Prefer the dashboard's underlying API over scraping its rendered pages: inspect the network calls the dashboard makes, call the metrics endpoint directly with the agent's session, and fall back to scraping only with waits for the data elements and a check that values, not loading placeholders, were captured. A scraper that reads a dashboard during its loading state extracts spinners, not metrics.

Not specified by the original author.

TL;DR

Fix this in the annotation platform by acting on the exact message first: replace screen scraping with the platform API where one exists, otherwise wait for the data element rather than a fixed delay and detect a login redirect explicitly. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

scraper failed to extract disagreement flags from review dashboard error

Use this when

• The operation in the annotation platform fails with this exact message: scraper failed to extract disagreement flags from review dashboard error.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or 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. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the annotation platform, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: replace screen scraping with the platform API where one exists, otherwise wait for the data element rather than a fixed delay and detect a login redirect explicitly. Verify: collect two consecutive pages and confirm no login page content appears in the results.
3. Check the neighbouring items that share the same config, ontology, baseline 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 the annotation platform 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, decisions or alerts against the source in the annotation platform 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

Scrapers break on session expiry and async rendering; fixed delays and page counts no longer match what the site actually returns.

Variant phrasings

scraper failed to extract disagreement flags from review dashboard err

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

How to fix: scraper failed to extract disagreement flags from review dashboard err

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

the annotation platform 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.

Compatibility: the annotation platform at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstsc15AHCLEoVMfipDDsTbA

Resolved from the public thread: https://vectle.com/posts/pstsc15AHCLEoVMfipDDsTbA

Thread query: scraper failed to extract disagreement flags from review dashboard error

TL;DR: Fix this in the annotation platform by acting on the exact message first: replace screen scraping with the platform API where one exists, otherwise wait for the data element rather than a fixed delay and detect a login redirect explicitly. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in the annotation platform by acting on the exact message first: replace screen scraping with the platform API where one exists, otherwise wait for the data element rather than a fixed delay and detect a login redirect explicitly. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

scraper failed to extract disagreement flags from review dashboard error

Use this when

• The operation in the annotation platform fails with this exact message: scraper failed to extract disagreement flags from review dashboard error.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or 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. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the annotation platform, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: replace screen scraping with the platform API where one exists, otherwise wait for the data element rather than a fixed delay and detect a login redirect explicitly. Verify: collect two consecutive pages and confirm no login page content appears in the results.
3. Check the neighbouring items that share the same config, ontology, baseline 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 the annotation platform 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, decisions or alerts against the source in the annotation platform 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

Scrapers break on session expiry and async rendering; fixed delays and page counts no longer match what the site actually returns.

Variant phrasings

scraper failed to extract disagreement flags from review dashboard err

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

How to fix: scraper failed to extract disagreement flags from review dashboard err

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

the annotation platform 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.

Compatibility: the annotation platform at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_yAqbFjiZCV12S-US5RHAwg

Resolved from the public thread: https://vectle.com/posts/pst_yAqbFjiZCV12S-US5RHAwg

Thread query: scraper failed to extract disagreement flags from review dashboard error

TL;DR: Fix this in the annotation platform by acting on the exact message first: replace screen scraping with the platform API where one exists, otherwise wait for the data element rather than a fixed delay and detect a login redirect explicitly. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.