Pricing

from $0.70 / 1,000 joined rows

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Join Datasets: VLOOKUP & Merge Two Datasets or CSV Files

Try for free

Join two Apify datasets or CSV, JSON or Excel files by a key, like VLOOKUP or a SQL join: add the fields of the matching lookup row to each row. Match on text, exact values or website domains; left, inner or anti join. Enrich scraper results with other actors' data. Pay per row.

Pricing

from $0.70 / 1,000 joined rows

Rating

0.0

(0)

Developer

Michael Costa

Actor stats

Bookmarked

Total users

Monthly active users

15 hours ago

Last modified

Changelog

Versions follow MAJOR.MINOR.PATCH (src/version.py); Apify shows MAJOR.MINOR from .actor/actor.json. Every run logs its version and records it in the RUN_STATS key-value record.

0.1.1 (2026-10-04)

README: the ready-to-run Store examples.

0.1.0 (2026-10-04)

First release.

Joins main data (an Apify dataset, or a CSV/TSV, JSON, JSON Lines or Excel file at a URL) with lookup data (the same kinds) on one or more key pairs (field or main = lookup, nested paths allowed), like VLOOKUP or a SQL join.
Matching as text (case, extra spaces and accent encoding ignored; 12 = "12"), exactly, or by website domain (URLs, bare domains and email addresses).
Left, inner and anti joins; the first lookup row per key, or one output row per match.
Lookup fields picked and renamed, an optional prefix, lookup_<name> for names the main row already has, null-filled columns for unmatched rows, and a joinMatched field.
Fails before writing anything when no lookup row, or none of the first 100 main rows, has the join field.
Charged per output row (apify-default-dataset-item); max rows per run and the maximum cost per run stop the run.
Limits: 200,000 lookup rows within half of the run's memory, 1,000,000 main rows, 200 MB files, 5 MB output rows.

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