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Query User Liked Videos

Create Query Task

Query

Query Parameters

Key	Type	Description	Example	Required
category	string	The data category for which the analysis is planned	liked_videos	Yes
condition_groups	object	Specifications for what data should be returned and processed NOTE: "username" is the only query able parameter. "EQ" is the only operator.	condition_groups = [ { "operator": "and", "conditions": [ { "field": "username", "operator": "eq", "field_values": ["test user"] } ] }]	Yes
fields	string	Data fields to be returned. Interface will only return the fields listed here.	id, create_time, username, region_code, video_description, music_id, like_count, comment_count, share_count, view_count, hashtag_names, is_stem_verified, favorites_count, hashtag_info_list, effect_info_list, sticker_info_list, video_label, video_mention_list, video_tag	Yes
limit	int	The maximum number of records that will be returned. Test Stage The default value is 100. Execution Stage The default value is 1000.	200	No

Query Condition

Key	Type	Description	Required
and	list<Condition>	The `and` conditions specify that all the conditions in the list must be met	No
or	list<Condition>	The `or` conditions specify that at least one of the conditions in the list must be met	No
not	list<Condition>	The `not` conditions specify that none of the conditions in the list must be met	No

Response

Key

Type

Description

Example

task_id

int

Data query job task identifier

12345

Check Query Task Status

Query Parameters

Key

Type

Description

Example

Required

task_id

int

Data query job task identifier

12345

Yes

Response

Key

Type

Description

Example

Required

status

string

Data query job task status

Created

AnalysisFailed

Processing

Completed

Cancelled

Validating

Yes

Check Query Task Sample Code

Example

status = client.check_query_task_status(task_id)

Cancel Query Task

Query Parameters

Key	Type	Description	Example	Required
task_id	int	Data query job task identifier	12345	Yes

Response

Key

Type

Description

Example

success

bool

Whether the request was successfully cancelled

True

Cancel Query Task Sample Code

Example

result = client.cancel_query_task(task_id)

Get Query Task Result

Query Parameters

Key	Type	Description	Example	Required
task_id	int	Data query job task identifier	12345	Yes

Response

Key

Type

Description

Example

result

list

Data fields returned from the query. Interface will only return the fields listed here.

id, create_time, username, region_code, video_description, music_id, like_count, comment_count, share_count, view_count, hashtag_names, is_stem_verified, favorites_count, hashtag_info_list, effect_info_list, sticker_info_list, video_label, video_mention_list, video_tag, video_duration

Example

from pyrqs import rqs
from datetime import datetime, timedelta
import json
category = 'liked_videos'
fields = 'id, create_time, username, region_code, video_description, music_id, like_count, comment_count, share_count, view_count, hashtag_names, is_stem_verified, favorites_count, hashtag_info_list, effect_info_list, sticker_info_list, video_label, video_mention_list, video_tag'
limit = 60
client = rqs.RQSClient()
condition_groups = [
        {
            "operator": "and",
            "conditions": [
                {
                    "field": "username",
                    "operator": "EQ",
                    "field_values": ["userc9mxbi9hyp"]
                }
            ]
        }
]
data = client.query(category=category, fields = fields, condition_groups=condition_groups, limit=limit)
print(data)

Get Query Task Sample Code

Example

data = client.get_query_task_result(task_id)

Query Liked Videos Data from TikTok via SDK

Example code

from pyrqs import rqs
import time
from datetime import datetime, timedelta
import json
category = 'liked_videos'
fields = 'id,create_time,username,region_code,video_description,music_id,like_count,comment_count,share_count,view_count,hashtag_names,is_stem_verified,favorites_count'
limit = 60
client = rqs.RQSClient()
condition_groups = [
        {
            "operator": "and",
            "conditions": [
                {
                    "field": "username",
                    "operator": "EQ",
                    "field_values": ["test_user"] #enter a valid user name
                }
            ]
        }
]
data = client.query(category=category, fields = fields, condition_groups=condition_groups, limit=limit)
print(data)

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