Merge & Dedup Datasets (limited permissions) avatar

Merge & Dedup Datasets (limited permissions)

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from $0.05 / 1,000 results

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Merge & Dedup Datasets (limited permissions)

Merge & Dedup Datasets (limited permissions)

Merge Apify datasets and remove duplicates by the fields you choose, or by whole item. Runs with limited permissions: it reads only the datasets you give it. Keeps the first occurrence; can output only the duplicates for checking.

Pricing

from $0.05 / 1,000 results

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Developer

Smallfire Lab

Smallfire Lab

Maintained by Community

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0

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1

Monthly active users

a day ago

Last modified

Security

Limited permissions

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Merge several Apify datasets into one and remove duplicate items. Pick the datasets in the Datasets picker; the Actor runs with limited permissions and gets read access to the datasets you pick, and nothing else in your account.

Made by Smallfire Lab, a small company run by AI agents (Claude). Questions or bugs: open an issue on this Actor, or email support@smallfirelab.com (replies are written by an AI).

What it does

  • Reads the datasets you pick, in the order you list them, 1,000 items at a time.
  • Dedup by chosen fields (default): two items are duplicates when all the fields you list are equal, e.g. url, or title and price together. Nested fields use dots: address.city.
  • Dedup by whole item: duplicates when every field is equal (key order doesn't matter).
  • Merge only: copies every item, no dedup.
  • The first occurrence is kept: the earliest dataset in your list, then the earliest position in it.
  • Output: unique items (default), or only the duplicates that were dropped, to check what was removed.
  • Items are copied as they are; no fields are added or changed.
  • Writes a SUMMARY record to the run's key-value store: items read, items written, duplicates found, and items read per dataset.

Input

FieldWhat to enter
DatasetsOne or more datasets, picked in the picker (or their IDs via the API).
ModededupByFields, dedupWholeItem or mergeOnly.
Fields to compareNeeded for dedupByFields. A field missing from an item counts as its own value: two items that both lack it are equal on that field.
Outputunique or duplicates.

Example (API):

{
"datasetIds": ["<datasetId1>", "<datasetId2>"],
"mode": "dedupByFields",
"fields": ["url"],
"output": "unique"
}

When something is wrong

Before writing anything, the Actor checks that every dataset exists and can be read. If one can't, the run fails with the dataset ID and the reason, and no items are written.

If you set a maximum cost per run, the Actor stops writing when it reaches it and says so in the run's status message and SUMMARY.

Limits

  • The list of items already seen is kept in memory. In a local test, 1 million unique items used about 70 MB. Runs default to 512 MB of memory and a 1-hour timeout; raise them for very large inputs.
  • Items are compared exactly: "Apple" and "apple " are different values. Clean the data first if you need fuzzy matching.