Un Comtrade Data

What does this actor do?

Un Comtrade Data is an Apify actor that extracts data related to un comtrade data. It runs on the Apify platform and delivers structured data in JSON, CSV, or Excel formats that you can easily integrate into your workflows. For each item found, the actor extracts key data fields including url. All results are stored in an Apify dataset that you can download or connect to via the Apify API.

Why use this actor?

Manually collecting this data would be extremely time-consuming and error-prone. Un Comtrade Data automates the entire process, saving you hours of manual work. This actor is ideal for data analysts, researchers, marketers, and developers who need reliable, structured data. You can schedule regular runs to keep your data fresh, integrate results directly into spreadsheets or databases, and scale your data collection without any coding required. The actor handles pagination, rate limiting, and data normalization automatically.

How does it work?

This actor connects to the target website to fetch structured data directly. It processes the responses, normalizes the data into a consistent format, and stores everything in an Apify dataset. The API-based approach is fast and reliable, with built-in error handling and retry logic.

Input parameters

Parameter	Type	Description	Default
reporterCode	string	Country reporter code (e.g. 840 for US)	"840"
year	string	Trade year (e.g. 2022)	"2022"
maxResults	integer	Maximum number of results	100

Output fields

Each item in the output dataset contains the following fields:

Field	Description	Format
url	URL	link

Example output:

{
  "url": "https://example.com/item/123"
}

Cost and performance

This actor runs with a default memory allocation of 512 MB. As an API-based actor, it is very efficient and typically costs around $0.05-0.15 in Apify platform credits per 1,000 results. A typical run completes in under 1 minute. You can reduce costs by limiting the number of results with the maxResults parameter and by scheduling runs during off-peak hours.

Tips and best practices

• Start with a small number of results to test your configuration before scaling up.
• Use the Apify scheduling feature to automate regular data collection runs.
• Export results in the format that best fits your workflow: JSON for APIs, CSV for spreadsheets, or Excel for reports.
• Connect this actor with other actors on the Apify platform for more comprehensive data pipelines.

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