phantom-pre-filter

Filter PhantomBuster CSV exports by applying blacklist matching, duration filters, and titles filtering to remove unneeded records. This preprocessing produces a cleaned CSV, reducing Crustdata enrichment API costs by eliminating non-relevant entries early.

Clean LinkedIn data from PhantomBuster by pre-filtering the raw CSV export with optional rules for duration in role, duration at company, and blacklisted companies. This outputs a clean CSV with all original fields preserved, ready for API calls.

Yes, Python and pandas are the required runtime environment for pre-filtering PhantomBuster data. You provide an input CSV path, an output path, and optional filter configurations to execute the data preprocessing pipeline.

Yes, you can exclude specific companies from a PhantomBuster CSV using a blacklist. The filtering process performs case-insensitive, partial matches against disqualified companies to ensure they are removed before Crustdata enrichment.

All original PhantomBuster fields are preserved when pre-filtering a CSV export. The process outputs a clean CSV file containing the original data columns minus the records removed by your configured blacklist and duration filters.