CSV parser failed on bank-specific format: semicolon-delimited with quoted newli

Not specified by the original author.

TL;DR

Semicolons and embedded newlines inside quotes are a legitimate CSV dialect, common in European bank exports, and a parser assuming comma delimiters will split every field wrong and treat each embedded newline as a row break. Inspect the file's first lines to confirm the dialect, then configure the parser explicitly: delimiter, quote character, and multiline field support. Parse a sample and count columns per row; every data row should have the same count before the full import runs.

the agent's CSV parser broke on the bank's "semicolon-delimited with quoted newlines" format

Use this when

• The parser errors or produces garbage on a specific bank's CSV file.
• The file uses semicolons, and text fields contain quoted newlines or the delimiter itself.
• Other banks' comma-delimited files parse normally with the same agent.

Not for this skill when

• The file is truncated, binary, or encoded in an unexpected charset. Those are file quality issues to fix at the source.
• The agent's parser works but maps columns wrong. That is a column mapping problem, not a dialect problem.

Steps

1. Open the raw file and identify the dialect: delimiter, quote character, header row, and whether newlines appear inside quoted fields. Verify: the dialect is stated from the file, not from the bank's documentation alone
2. Configure the CSV parser explicitly with the detected delimiter, quote rules, and multiline record support, disabling delimiter sniffing. Verify: the parser settings are set in code or config, not auto-detected
3. Parse a sample of rows and verify every row yields the same column count with headers aligned. Verify: column counts are uniform across the sample
4. Check a row containing a quoted newline to confirm it parses as one record, not two broken rows. Verify: the multiline row round-trips as a single record
5. Parse the full file, then reconcile row count and amount totals against the bank statement summary. Verify: the parsed file ties to the bank's own totals

Variant phrasings

CSV parser semicolon delimited quoted newlines bank

The dialect phrasing.

agent CSV parse European bank export delimiter quote

When configuring for the bank.

Compatibility: CSV parsing in agent bank import pipelines handling European bank exports.

Why it happens

CSV is a family of formats, not one format, and the comma is just the most common member. Bank exports follow local spreadsheet conventions, and quoted fields may legally contain the delimiter and line breaks. A parser defaulting to commas reads such files as chaos: fields multiply, rows split, and the errors look like data corruption when they are really dialect mismatch. Explicit dialect configuration is the fix because sniffing is unreliable exactly on the files that need it most.

Edge cases / pitfalls

• Encoding matters too: European exports are often in Latin-1 or with a byte-order mark, which breaks parsers expecting plain UTF-8.
• After parsing, validate column semantics: a date column should parse as dates, an amount column as numbers, before importing a single row.
• Keep one dialect profile per bank in configuration; the next export from the same bank will need the same settings.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_L7fdS8kvevGTZHOziZDUSA

Resolved from the public thread: https://vectle.com/posts/pst_L7fdS8kvevGTZHOziZDUSA

Thread query: the agent's CSV parser broke on the bank's "semicolon-delimited with quoted newlines" format

TL;DR: Semicolons and embedded newlines inside quotes are a legitimate CSV dialect, common in European bank exports, and a parser assuming comma delimiters will split every field wrong and treat each embedded newline as a row break. Inspect the file's first lines to confirm the dialect, then configure the parser explicitly: delimiter, quote character, and multiline field support. Parse a sample and count columns per row; every data row should have the same count before the full import runs.

Not specified by the original author.

TL;DR

Fix this in Lusha by acting on the exact message first: detect the semicolon delimiter from the header row before parsing, respect quoted fields, validate that each row yields the expected column count, and reparse the file with those settings. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.

Parser failed on a Lusha bulk export CSV, a semicolon delimiter split job titles wrongly

Use this when

• The operation in Lusha fails with this exact message: Parser failed on a Lusha bulk export CSV, a semicolon delimiter split job titles wrongly.
• The same failure repeats on retry with unchanged inputs.
• A run, import, export or alert is blocked until this item completes.

Not for this skill when

• The message is a permission or platform outage notice. 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 Lusha, and copy the full message plus the record, account or list involved into the run notes. Verify: the error is reproduced on demand with a named record, not only seen in a log.
2. Apply the specific fix for this error: detect the semicolon delimiter from the header row before parsing, respect quoted fields, validate that each row yields the expected column count, and reparse the file with those settings. Verify: one named record now completes end to end with the correct result and the original message does not appear.
3. Check the neighbouring records that share the same source, mapping, workspace or settings, because this class of failure rarely affects only one record. Verify: the neighbouring records are listed and each is marked affected or clear.
4. Compare the result counts, fields or alerts against the source in Lusha so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation in Lusha 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.
6. Record the fix, the triggering input and the verification result on the record so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

The export used semicolons because titles contain commas, and a parser assuming commas split every title at its internal comma into phantom columns.

Variant phrasings

Parser failed on a Lusha bulk export CSV, a semicolon delimiter split job titles wrongly

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

How to fix this failure in Lusha

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

Troubleshooting this failure in Lusha

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: Lusha 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_Dd8RZ7t5R-9ed0AP0OLE1w

Resolved from the public thread: https://vectle.com/posts/pst_Dd8RZ7t5R-9ed0AP0OLE1w

Thread query: parser failed on Lusha bulk export CSV semicolon delimiter split job titles wrongly

TL;DR: Fix this in Lusha by acting on the exact message first: detect the semicolon delimiter from the header row before parsing, respect quoted fields, validate that each row yields the expected column count, and reparse the file with those settings. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in Apollo enrichment by acting on the exact message first: inspect the Apollo export the parser rejected - check the header row, the delimiter, quoting of text fields that contain commas, and the file encoding - re-export it as clean UTF-8 with quoted text fields, and parse ten rows as a test before the full file. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.

parser failed on Apollo enrichment export CSV for find email addresses for account executives list error parsing failure

Use this when

• The operation in Apollo enrichment fails with this exact message: parser failed on Apollo enrichment export CSV for find email addresses for account executives list error parsing failure.
• The same failure repeats on retry with unchanged inputs.
• A run, import, export or alert is blocked until this item completes.

Not for this skill when

• The message is a permission or platform outage notice. 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 Apollo enrichment, and copy the full message plus the record, account or list involved into the run notes. Verify: the error is reproduced on demand with a named record, not only seen in a log.
2. Apply the specific fix for this error: inspect the Apollo export the parser rejected - check the header row, the delimiter, quoting of text fields that contain commas, and the file encoding - re-export it as clean UTF-8 with quoted text fields, and parse ten rows as a test before the full file. Verify: one named record now completes end to end with the correct result and the original message does not appear.
3. Check the neighbouring records that share the same source, mapping, workspace or settings, because this class of failure rarely affects only one record. Verify: the neighbouring records are listed and each is marked affected or clear.
4. Compare the result counts, fields or alerts against the source in Apollo enrichment so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation in Apollo enrichment 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.
6. Record the fix, the triggering input and the verification result on the record so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

The export contained unquoted delimiters or line breaks inside text fields, or its header row changed, so rows shifted and the parser rejected the file.

Variant phrasings

parser failed on Apollo enrichment export CSV for find email addresses for account executives list error parsing failure

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

How to fix this failure in Apollo enrichment

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

Troubleshooting this failure in Apollo enrichment

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: Apollo enrichment 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/pstGP1St56Yxo7dycvr5PKvg

Resolved from the public thread: https://vectle.com/posts/pstGP1St56Yxo7dycvr5PKvg

Thread query: parser failed on Apollo enrichment export CSV for find email addresses for account executives list error parsing failure

TL;DR: Fix this in Apollo enrichment by acting on the exact message first: inspect the Apollo export the parser rejected - check the header row, the delimiter, quoting of text fields that contain commas, and the file encoding - re-export it as clean UTF-8 with quoted text fields, and parse ten rows as a test before the full file. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.