You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: sources/platform/integrations/workflows-and-notifications/make.md
+17-17Lines changed: 17 additions & 17 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -53,7 +53,7 @@ Make.com imposes a hard timeout of 5 minutes for synchronous runs. If the Actor
53
53
If you anticipate that the Actor run will exceed 5 minutes, use the asynchronous method with a trigger module instead.
54
54
:::
55
55
56
-
The primary difference between the two methods is that the synchronous run waits for the Actor or Task to finish and retrieves its output using the "Get Dataset Items" module. By contrast, the asynchronous run watchs for the run of an Actor or task (which could have been triggered from another scenario, manualy from Apify console or elsewhere) and gets its output once it finishes.
56
+
The primary difference between the two methods is that the synchronous run waits for the Actor or Task to finish and retrieves its output using the "Get Dataset Items" module. By contrast, the asynchronous run watches for the run of an Actor or task (which could have been triggered from another scenario, manually from Apify console or elsewhere) and gets its output once it finishes.
57
57
58
58
### Synchronous run using the action module
59
59
@@ -68,7 +68,7 @@ Next, add the Apify module called "Run an Actor" to your scenario and configure
68
68
For this example, we will use the "Google Maps Review Scraper" Actor.
69
69
Make sure to set the "Run synchronously" option to "Yes," so the module waits for the Actor to finish run.
#### Step 2: Add the Apify "Get Dataset Items" module
74
74
@@ -77,15 +77,15 @@ In the next step, add the "Get Dataset Items" module to your scenario, which is
77
77
In the "Dataset ID" field, provide the default dataset ID from the Actor run.
78
78
You can find this dataset ID in the variables generated by the previous "Run an Actor" module. If the variables do not appear, run the scenario first, then check again.
#### Step 3: Add the Google Sheets "Create Spreadsheet Rows" module
83
83
84
84
Finally, add the Google Sheets "Bulk Add Rows" module to your scenario. This module will automatically create new rows in a Google Sheets file to store the Actor's output.
85
85
86
86
In the "Spreadsheet ID" field, provide the ID of the target Google Sheets file, which you can find in its URL. Configure the column range (e.g., "A-Z") and map the data retrieved from the "Get Dataset Items" module to the row values.
#### Step 2: Add the Apify "Get Dataset Items" module
107
107
108
108
Add the "Get Dataset Items" module to your scenario to retrieve the output of the Actor run.
109
109
110
110
In the "Dataset ID" field, provide the default dataset ID from the Actor run. You can find the dataset ID in the variables generated by the "Watch Actor Runs" module.
#### Step 3: Add the Google Sheets "Create Spreadsheet Rows" module
115
115
116
116
Finally, add the Google Sheets "Bulk Add Rows" module to your scenario, which will create new rows in the specified Google Sheets file to store the Actor's output.
117
117
118
118
In the "Spreadsheet ID" field, enter the ID of the target Google Sheets file, which you can find in its URL. Configure the column range (e.g., "A-Z") and map the data retrieved from the "Get Dataset Items" module to the row values.
0 commit comments