Pricing

from $0.35 / 1,000 row processeds

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Fuzzy Dedupe: Find Near-Duplicate Rows in Datasets

Try for free

Find near-duplicates that exact dedup misses: 'Acme Inc.' vs 'ACME, Inc', 'Main St.' vs 'Main Street'. Fuzzy match names, addresses, phones, URLs across Apify datasets; mark or merge clusters with reasons. Empty input = free demo. $0.50 per 1,000 rows.

Pricing

from $0.35 / 1,000 row processeds

Rating

0.0

(0)

Developer

Actor Factory

Actor stats

Bookmarked

Total users

Monthly active users

4 hours ago

Last modified

Categories

Developer tools

Automation

Lead generation

Demo row

_demo

Optional

True on rows from the free demo on sample records (empty input); not real data.

Type:boolean | null

Cluster ID

clusterId

Optional

Identifier of the group of near-duplicate rows this row belongs to; unique rows get their own.

Type:null | string

Cluster size

clusterSize

Optional

Number of rows in the duplicate cluster (1 for unique rows).

Type:null | number

Is primary

isPrimary

Optional

True for the row kept as the cluster's most complete representative (and for unique rows).

Type:boolean | null

Match reason

matchReason

Optional

Plain-text explanation of why the row is unique, primary, a duplicate, or only a possible duplicate.

Type:null | string

Match score

matchScore

Optional

Similarity to the cluster primary (1.0 for primary and unique rows; for possible matches, the best score).

Type:null | number

Match status

matchStatus

Optional

One of unique, possible, primary or duplicate.

Type:null | string

Primary row ID

primaryRowId

Optional

Row ID of the cluster primary; set only on duplicate rows.

Type:null | string

Row ID

rowId

Optional

Row identifier in the form datasetId:offset, referenced by primaryRowId and possibleDuplicateOf.

Type:null | string

Other properties may be included.

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