Csv Data Cleaning And Normalization
Operations teams need to validate and normalize recurring CSV and Excel imports without manually correcting rows, silently discarding failures, or losing an audit trail of changes.
7%
users
Apify builder
Leaderboard position
out of 10,354
New actors
#2,385
↓ -2,058
Total actors
#1,251
↑ +393
Monthly users
#1,799
↑ +300
Total users
#2,944
↑ +528
Monthly runs
#1,952
↑ +1,285
Total runs
#3,466
↑ +1,600
Portfolio stats
New actors
1
↓ -12
Total actors
14
↑ +8
Monthly users
14
↑ +8
Total users
28
↑ +16
Monthly runs
323
↑ +266
Total runs
600
↑ +462
New actors
Each bar shows one day in the last 30 days.
Portfolio concentration
12 of 14 actors cover 80%+ of monthly users.
Operations teams need to validate and normalize recurring CSV and Excel imports without manually correcting rows, silently discarding failures, or losing an audit trail of changes.
7%
users
Recurring CRM, customer, lead, supplier, procurement, and inventory exports contain exact and near-duplicate rows. Teams need to consolidate them without manually comparing every record or losing better values during a merge.
7%
users
Automation workflows need to turn recurring Excel spreadsheets into predictable JSON without silently accepting malformed dates, numbers, headers, or required fields. Basic converters produce rows but often do not enforce a data contract or clearly quarantine invalid records.
7%
users
Teams managing many GitHub repositories lack a simple way to maintain a normalized, auditable inventory and identify repository-level operational or governance changes between snapshots.
7%
users
Ecommerce operators and agencies get products disapproved in Google Merchant Center because of feed errors (missing required attributes, invalid GTINs, bad price/availability formats, over-length titles). They find out only after upload. They need every problem listed per item, with a fix, and a...
7%
users
Teams importing calendars from multiple providers need to validate, normalize, expand, deduplicate, and consolidate ICS data without silently losing events, shifting times, or overlooking scheduling conflicts.
7%
users
Bookkeepers, small lenders and automation builders receive months of bank or credit-card statement PDFs. They need one clean, de-duplicated, balance-checked transaction ledger they can import into Xero, QuickBooks or any OFX-capable tool. Existing converters handle one statement at a time, only...
7%
users
Deprecated: use first_watch/pdf-table-extraction, which extracts and validates PDF tables with independently tested results and pays-per-accepted-row billing.
7%
users
Automation workflows need to convert varied native-text or scanned invoices into consistent accounting-ready line items while detecting uncertain fields and arithmetic mismatches before downstream import.
7%
users
Extract the table from supplier PDFs (price lists, order confirmations, stock reports) into flat, validated rows: header aliases, European and US numbers and dates, required fields, duplicates and line-total checks. Rejected rows come back with reasons; you pay only for accepted rows.
7%
users
Phone lists from forms, scrapers, CRM exports and spreadsheets are messy: mixed formats, 00/011 prefixes, '(0)' trunk digits, Excel scientific-notation damage, several numbers in one cell, and duplicates. Automation users (n8n, Make, Zapier, Clay, CRM) need every row returned with a validated...
7%
users
Operational teams must validate and adjust thousands of country-specific payment, shipment, payroll, staffing, reporting, and contractual dates around public holidays. Generic holiday-calendar feeds do not apply business-day rules to customer records or return results that can be joined directly...
7%
users
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