Documentation Index
Fetch the complete documentation index at: https://docs.x.com/llms.txt
Use this file to discover all available pages before exploring further.
Working with resumable uploads
When using the Batch compliance endpoints, developers can batch upload large amounts of X data and understand what action is needed to ensure that their datasets reflect user intent and the current state of the content on X. Uploading large amounts of data to a remote server is a relatively straightforward operation when systems and connectivity are stable and reliable. However, this may not always be the case. Some environments may impose a connection timeout, effectively cutting the connection between your app and the upload server after a set amount of time; you may also encounter connection issues, for example when trying to upload a large file from your laptop over a wi-fi connection. In these circumstances, it’s desirable to upload smaller portions of that file at a time, rather than having one single continuous connection.
X’s batch compliance endpoints rely on Google Cloud Storage to process large files. This type of storage is optimized for various applications; Cloud Storage supports a technique to manage large files called resumable uploads.
If the upload goes wrong at any point, Google Cloud Storage is able to resume the operation from where it was left off.
Creating a resumable job
Step one:
First, you will have to create a compliance job and specify whether you will be uploading Post IDs or user IDs (using the type parameter). Additionally, add resumable to the body and set it to true. Make sure to replace the $APP_ACCESS_TOKEN below with your App only Access Token below.
curl --request POST \
'https://api.x.com/2/compliance/jobs' --header 'Authorization: Bearer $APP_ACCESS_TOKEN --header 'Content-Type: application/json' --data-raw '{
"type": "tweets",
