Activity logs are records of all activities performed on a board. You can use them to see which actions were performed on your boards, when, and by whom.

As a developer working with, it is important to familiarize yourself with the activity_logs API so you know how to see activity on your boards. This document will walk you through the available queries to read the activity_logs object via the API.


Querying activity_logs returns a collection of activity logs from a specific board. This method accepts various arguments and returns an array.

You can only query activity_logs by nesting it within a boards query, so it can't be used at the root.

query {
  boards (ids: 1234567890) {
    activity_logs (from: "2021-07-23T00:00:00Z", to: "2021-07-26T00:00:00Z") {
let query = 'query { boards (ids: 1234567890) { activity_logs (from: \"2021-07-23T00:00:00Z\", to: \"2021-07-26T00:00:00Z\") { id event data }}}';

fetch ("", {
  method: 'post',
  headers: {
    'Content-Type': 'application/json',
    'Authorization' : 'YOUR_API_KEY_HERE'
   body: JSON.stringify({
     'query' : query
   .then(res => res.json())
   .then(res => console.log(JSON.stringify(res, null, 2)));


You can use the following argument(s) to reduce the number of results returned in your activity_logs query.

column_ids [String]The specific columns to return events for.
from ISO8601DateTimeFrom timestamp (ISO8601).
group_ids [String]The specific groups to return events for.
item_ids [ID!]The specific items to return events for.
limit IntThe number of activity log events to return. The default is 25.
page IntThe page number to return. Starts at 1.
to ISO8601DateTimeTo timestamp (ISO8601).
user_ids [ID!]The specific users to return events for.


You can use the following field(s) to specify what information your activity_logs query will return.

account_id String!The unique identifier of the account that initiated the event.
data String!The item's column values.
entity String!The entity of the event that was changed: pulse or board.
event String!The action that took place.
id String!The unique identifier of the activity log event.
user_id String!The unique identifier of the user who initiated the event.
created_at String!The time of the event in 17-digit unix time.

Created_at field

The timestamps returned by this field are formatted as UNIX time with 17 digits.

To convert the timestamp to UNIX time in milliseconds, divide the 17-digit value by 10,000 and round to the nearest integer. For UNIX time in seconds, divide the value by 10,000,000.

myDate = new Date(15880281464518396 / 10000)
import pandas as pd  
pd.to_datetime(16155031105053254 / 10000000, unit='s')
echo gmdate("Y-m-d\TH:i:s\Z", $timestamp);


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