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How to Automate TikTok Analytics Reports using the API

Automate TikTok analytics reports using the public API's two available data sources: GET /v2/user/info/ for account-level stats (follower_count, following_count, likes_count, video_count) and POST /v2/video/list/ for per-video metrics (likes, comments, shares, views). Watch time, For You Page impressions, per-video reach, and audience demographics are NOT available through any public API. Access tokens expire every 24 hours — a refresh job is mandatory.

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Intermediate7 min read30-60 minutesTikTokMay 2026RapidDev Engineering Team
TL;DR

Automate TikTok analytics reports using the public API's two available data sources: GET /v2/user/info/ for account-level stats (follower_count, following_count, likes_count, video_count) and POST /v2/video/list/ for per-video metrics (likes, comments, shares, views). Watch time, For You Page impressions, per-video reach, and audience demographics are NOT available through any public API. Access tokens expire every 24 hours — a refresh job is mandatory.

API Quick Reference

Auth

OAuth 2.0

Rate limit

30 req/min per access_token (read endpoints)

Format

JSON

SDK

REST only

Understanding TikTok Analytics via the Public API

TikTok's public API provides only a subset of the analytics available in the native TikTok app and TikTok Studio. Through the API, you can access account-level stats (follower count, total likes, video count) and post-level stats (likes, comments, shares, view count). This is useful for tracking growth trends and comparing post performance over time, but it's significantly less than what Instagram or YouTube APIs offer.

Important data points that are NOT available through any public TikTok API: watch time (average seconds watched), For You Page (FYP) impressions, per-video reach, video completion rate, audience demographics (age, gender, location), traffic source breakdown, and follower growth timeline. These are visible in TikTok Studio (studio.tiktok.com) natively but are not exposed via API. If your analytics requirements include any of these, you'll need to either use TikTok Studio manually or invest in a third-party data provider.

The polling pattern for TikTok analytics: fetch user info for account stats and video list for post metrics. Since TikTok has no analytics endpoint equivalent to Instagram's Insights API, you build trends by storing results over time in your own database and comparing successive snapshots. Official docs: https://developers.tiktok.com/doc/tiktok-api-v2-user-info

Base URLhttps://open.tiktokapis.com

Setting Up TikTok API Authentication for Analytics

TikTok OAuth2 v2 requires requesting both user.info.stats and video.list scopes. The 24-hour access token expiry is TikTok's most important operational constraint — your analytics pipeline must include automated token refresh or it will fail silently within a day of deployment.

  1. 1Create a developer account at developers.tiktok.com (requires business email)
  2. 2Create a new app and request user.info.stats and video.list scopes
  3. 3Note your client_key and client_secret
  4. 4Implement OAuth authorization flow: redirect to https://www.tiktok.com/v2/auth/authorize/?client_key={key}&scope=user.info.stats,video.list&response_type=code&redirect_uri={uri}
  5. 5Exchange the code for tokens at POST https://open.tiktokapis.com/v2/oauth/token/ with grant_type=authorization_code
  6. 6Store both access_token (24h) and refresh_token (365 days) in your database/secrets store
  7. 7Immediately set up an automated refresh job running every 18-20 hours
  8. 8Test analytics access: GET https://open.tiktokapis.com/v2/user/info/?fields=follower_count,video_count
auth.py
1import requests
2import os
3
4CLIENT_KEY = os.environ['TIKTOK_CLIENT_KEY']
5CLIENT_SECRET = os.environ['TIKTOK_CLIENT_SECRET']
6
7def get_tokens_from_code(auth_code, redirect_uri):
8 """Exchange auth code for access + refresh tokens."""
9 resp = requests.post(
10 'https://open.tiktokapis.com/v2/oauth/token/',
11 data={
12 'client_key': CLIENT_KEY,
13 'client_secret': CLIENT_SECRET,
14 'code': auth_code,
15 'grant_type': 'authorization_code',
16 'redirect_uri': redirect_uri,
17 },
18 headers={'Content-Type': 'application/x-www-form-urlencoded'}
19 )
20 resp.raise_for_status()
21 data = resp.json()
22 print(f'Access token expires in: {data["expires_in"]}s (24h)')
23 print(f'Refresh token expires in: {data["refresh_expires_in"]}s (365 days)')
24 return data['access_token'], data['refresh_token']
25
26def refresh_access_token(refresh_token):
27 """Call this every 18-20 hours. Critical - 24h expiry is unforgiving."""
28 resp = requests.post(
29 'https://open.tiktokapis.com/v2/oauth/token/',
30 data={
31 'client_key': CLIENT_KEY,
32 'client_secret': CLIENT_SECRET,
33 'grant_type': 'refresh_token',
34 'refresh_token': refresh_token,
35 },
36 headers={'Content-Type': 'application/x-www-form-urlencoded'}
37 )
38 resp.raise_for_status()
39 data = resp.json()
40 return data['access_token'], data.get('refresh_token', refresh_token)

Security notes

  • Both access_token and refresh_token must be stored securely — treat them as passwords
  • The refresh_token is valid for 365 days; if it expires, the user must re-authorize manually
  • Never log full token values — log only the first 8 characters for debugging
  • Set up an alert if the refresh job fails — silent token expiry will break analytics silently
  • Store tokens per-user if managing multiple TikTok accounts
  • Never expose client_secret in client-side code

Key endpoints

GET/v2/user/info/

Returns account-level statistics for the authenticated user. With user.info.stats scope: follower_count, following_count, likes_count, video_count. These are aggregate totals, not time-series data.

ParameterTypeRequiredDescription
fieldsstringrequiredComma-separated field list. For analytics: follower_count,following_count,likes_count,video_count. Add open_id,display_name for account identification.

Response

json
1{"data": {"user": {"open_id": "abc123", "union_id": "xyz456", "display_name": "Creator Name", "follower_count": 45820, "following_count": 312, "likes_count": 892450, "video_count": 247}}, "error": {"code": "ok"}}
POST/v2/video/list/

Returns a list of the authenticated user's public videos with per-video metrics. With video.list scope: like_count, comment_count, share_count, view_count per video. Pagination via cursor. This is the only way to get per-video analytics via the public API.

ParameterTypeRequiredDescription
fieldsarrayrequiredArray of fields to return. For analytics: ['id', 'title', 'create_time', 'like_count', 'comment_count', 'share_count', 'view_count'].
cursornumberoptionalPagination cursor from previous response. Use to fetch the next page of videos.
max_countnumberoptionalNumber of videos per page. Default 20, max 20.

Request

json
1{"fields": ["id", "title", "create_time", "like_count", "comment_count", "share_count", "view_count"]}

Response

json
1{"data": {"videos": [{"id": "7123456789012345678", "title": "My viral video", "create_time": 1715000000, "like_count": 24500, "comment_count": 843, "share_count": 1205, "view_count": 485000}], "cursor": 1715000000, "has_more": false}, "error": {"code": "ok"}}

Step-by-step automation

1

Refresh Access Token Before Every Analytics Run

Why: TikTok access tokens expire every 24 hours — every analytics job must start by verifying the token is fresh or refreshing it.

Before any analytics fetch, check whether the stored access token is still valid. The safest approach: always refresh at the start of each analytics job rather than tracking expiry time. Store the new access_token back to your secrets store immediately after refresh.

request.sh
1# Refresh the access token (call every 18-20 hours)
2curl -X POST https://open.tiktokapis.com/v2/oauth/token/ \
3 -H 'Content-Type: application/x-www-form-urlencoded' \
4 -d "client_key=${CLIENT_KEY}&client_secret=${CLIENT_SECRET}&grant_type=refresh_token&refresh_token=${REFRESH_TOKEN}"

Pro tip: In production, store the token refresh time in your database. If your last refresh was less than 20 hours ago, skip the refresh call. This reduces unnecessary refresh calls while ensuring tokens never expire during analytics runs.

Expected result: Fresh access_token stored and returned. All subsequent API calls in this run use the fresh token.

2

Fetch Account-Level Stats

Why: Account stats (followers, total likes) provide the top-line growth metrics that show whether the account is trending up or down over time.

Call GET /v2/user/info/ with follower_count, following_count, likes_count, and video_count fields. Store the result with a timestamp in your database. By comparing successive snapshots, you can calculate follower growth rate, like velocity, and posting frequency — none of which the API provides directly.

request.sh
1curl "https://open.tiktokapis.com/v2/user/info/?fields=follower_count,following_count,likes_count,video_count" \
2 -H "Authorization: Bearer ${ACCESS_TOKEN}"

Pro tip: Store daily snapshots in a time-series table. Weekly follower growth = today_followers - (followers from 7 snapshots ago). This gives you the trend data TikTok doesn't provide via API.

Expected result: Account stats snapshot with follower_count, likes_count, video_count. Store this with a timestamp to enable growth tracking over time.

3

Fetch Per-Video Metrics

Why: Post-level metrics (views, likes, shares, comments) let you identify your best-performing content and calculate engagement rates per video.

Call POST /v2/video/list/ with fields for per-video stats. The endpoint returns up to 20 videos per page — use the cursor for pagination if you have many videos. Calculate engagement rate (likes + comments + shares) / views for each video to identify top performers.

request.sh
1curl -X POST https://open.tiktokapis.com/v2/video/list/ \
2 -H "Authorization: Bearer ${ACCESS_TOKEN}" \
3 -H "Content-Type: application/json; charset=UTF-8" \
4 -d '{"fields": ["id", "title", "create_time", "like_count", "comment_count", "share_count", "view_count"]}'

Pro tip: TikTok doesn't expose watch time via API, but you can approximate content quality using share_rate (shares/views) — shares are the strongest signal of viral potential on TikTok since they drive For You Page distribution.

Expected result: Array of videos sorted by view count with like_count, comment_count, share_count, view_count, and calculated engagement_rate for each.

4

Build and Deliver the Analytics Report

Why: Raw API data needs aggregation and formatting to be useful — a structured report delivered to Slack or email is what makes the automation valuable.

Aggregate account stats and video metrics into a weekly performance report. Include: follower growth (compared to last week's stored snapshot), top 5 videos by views, average engagement rate, and total metrics for the period. Deliver via Slack webhook or email.

request.sh
1# Deliver report to Slack
2curl -X POST "${SLACK_WEBHOOK_URL}" \
3 -H 'Content-type: application/json' \
4 --data '{"text":"TikTok Weekly: 45,820 followers (+120 this week), top video 485K views"}'

Pro tip: Always include a note in your report that watch time, FYP impressions, and audience demographics require TikTok Studio — this sets correct expectations and prevents confusion when stakeholders notice the data gaps.

Expected result: Analytics report delivered to Slack with account stats, top video performance, and honest disclosure of what data is NOT available via API.

Complete working code

Complete TikTok weekly analytics reporter: refreshes the access token, fetches account stats and all video metrics, calculates engagement rates, generates a Slack report. Runs as a weekly cron job. Clearly notes data limitations.

automate_tiktok_analytics.py
1#!/usr/bin/env python3
2"""TikTok Weekly Analytics Reporter."""
3import os
4import json
5import time
6import logging
7import requests
8from datetime import datetime, timezone
9
10logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
11log = logging.getLogger(__name__)
12
13CLIENT_KEY = os.environ['TIKTOK_CLIENT_KEY']
14CLIENT_SECRET = os.environ['TIKTOK_CLIENT_SECRET']
15REFRESH_TOKEN = os.environ['TIKTOK_REFRESH_TOKEN']
16SLACK_WEBHOOK = os.environ.get('SLACK_WEBHOOK_URL')
17
18def refresh_token():
19 resp = requests.post(
20 'https://open.tiktokapis.com/v2/oauth/token/',
21 data={'client_key': CLIENT_KEY, 'client_secret': CLIENT_SECRET,
22 'grant_type': 'refresh_token', 'refresh_token': REFRESH_TOKEN},
23 headers={'Content-Type': 'application/x-www-form-urlencoded'}
24 )
25 resp.raise_for_status()
26 data = resp.json()
27 log.info(f'Token refreshed, expires in {data["expires_in"]}s')
28 return data['access_token']
29
30def tt_get(path, params, token):
31 resp = requests.get(f'https://open.tiktokapis.com{path}',
32 params=params, headers={'Authorization': f'Bearer {token}'})
33 resp.raise_for_status()
34 return resp.json()
35
36def tt_post(path, payload, token):
37 resp = requests.post(f'https://open.tiktokapis.com{path}',
38 headers={'Authorization': f'Bearer {token}', 'Content-Type': 'application/json; charset=UTF-8'},
39 json=payload)
40 resp.raise_for_status()
41 return resp.json()
42
43def get_account_stats(token):
44 data = tt_get('/v2/user/info/', {'fields': 'follower_count,following_count,likes_count,video_count,display_name'}, token)
45 if data['error']['code'] != 'ok':
46 raise ValueError(f'Account stats error: {data["error"]}')
47 return data['data']['user']
48
49def get_all_videos(token, max_pages=10):
50 videos = []
51 cursor = None
52 fields = ['id', 'title', 'create_time', 'like_count', 'comment_count', 'share_count', 'view_count']
53 for _ in range(max_pages):
54 payload = {'fields': fields}
55 if cursor:
56 payload['cursor'] = cursor
57 data = tt_post('/v2/video/list/', payload, token)
58 if data['error']['code'] != 'ok':
59 break
60 videos.extend(data['data'].get('videos', []))
61 if not data['data'].get('has_more'):
62 break
63 cursor = data['data']['cursor']
64 time.sleep(0.5)
65 for v in videos:
66 views = max(v.get('view_count', 1), 1)
67 eng = v.get('like_count', 0) + v.get('comment_count', 0) + v.get('share_count', 0)
68 v['engagement_rate'] = round(eng / views * 100, 2)
69 return sorted(videos, key=lambda x: x.get('view_count', 0), reverse=True)
70
71def generate_report():
72 token = refresh_token()
73 log.info('Fetching account stats...')
74 user = get_account_stats(token)
75 log.info('Fetching video metrics...')
76 videos = get_all_videos(token)
77 avg_views = sum(v.get('view_count',0) for v in videos) / max(len(videos),1)
78 top = videos[0] if videos else {}
79 report_text = (
80 f'*TikTok Analytics Report*\n'
81 f'Account: @{user.get("display_name", "")}\n'
82 f'Followers: {user.get("follower_count",0):,} | Total Likes: {user.get("likes_count",0):,}\n'
83 f'Videos: {user.get("video_count",0)} | Avg Views: {avg_views:,.0f}\n'
84 f'Top Video: {top.get("view_count",0):,} views | {top.get("engagement_rate",0)}% engagement\n'
85 f'Title: "{(top.get("title") or "")[:60]}"\n'
86 f'_Data NOT available via API: watch time, FYP impressions, demographics_\n'
87 f'_Full analytics: studio.tiktok.com_'
88 )
89 if SLACK_WEBHOOK:
90 requests.post(SLACK_WEBHOOK, json={'text': report_text})
91 log.info('Report sent to Slack')
92 else:
93 print(report_text)
94 return {'user': user, 'top_videos': videos[:5], 'avg_views': avg_views}
95
96if __name__ == '__main__':
97 generate_report()
98 print('Done')

Error handling

401{"error": {"code": "access_token_invalid", "message": "The access_token is invalid or expired."}}
Cause

The 24-hour access token has expired. This is the most common TikTok API error in production automation.

Fix

Call POST https://open.tiktokapis.com/v2/oauth/token/ with grant_type=refresh_token to get a new access_token. Implement automatic refresh every 18-20 hours. Alert if refresh fails (refresh token also expired after 365 days).

Retry strategy

Refresh token first, then immediately retry the original request.

401{"error": {"code": "scope_not_authorized", "message": "The requested scope is not authorized."}}
Cause

The access token was granted without user.info.stats or video.list scope, or the user revoked those specific permissions.

Fix

Re-authorize the user with the correct scopes: user.info.stats,video.list in the OAuth request URL. The user must re-grant permissions.

Retry strategy

Do not retry — re-authorization required.

429{"error": {"code": "rate_limit_exceeded", "message": "Too many requests."}}
Cause

Exceeded 30 requests per minute on read endpoints per user access_token.

Fix

Add 500ms delays between API calls. For video list pagination, add 500ms between page requests. Monitor X-RateLimit-Remaining and pause when it hits 0.

Retry strategy

Wait for the 1-minute window to reset (check X-RateLimit-Reset header), then retry.

400{"error": {"code": "param_missing", "message": "Required parameter missing."}}
Cause

The fields parameter is missing or empty in the request body for video.list, or the Content-Type header is not application/json; charset=UTF-8.

Fix

Ensure the request body is valid JSON with a non-empty fields array. Set Content-Type exactly to 'application/json; charset=UTF-8' (the charset part is required by TikTok's API).

Retry strategy

Fix the request format and retry.

Rate Limits for TikTok Analytics API

ScopeLimitWindow
Per user access_token (read/status)30 requestsper minute
Token lifetime1 access tokenvalid for 24 hours; refresh token valid 365 days
retry-handler.ts
1import time
2import requests
3
4def tiktok_get_with_retry(url, params, token, max_retries=3):
5 for attempt in range(max_retries):
6 resp = requests.get(url, params=params, headers={'Authorization': f'Bearer {token}'})
7 remaining = int(resp.headers.get('X-RateLimit-Remaining', '10'))
8 if resp.status_code == 429:
9 reset = int(resp.headers.get('X-RateLimit-Reset', '60'))
10 print(f'Rate limited. Waiting {reset}s')
11 time.sleep(reset + 1)
12 continue
13 if resp.status_code == 401:
14 raise Exception('Token expired — refresh required before retry')
15 return resp
16 raise Exception('Max retries exceeded')
  • Always refresh the access token before starting an analytics run — the 24-hour expiry is non-negotiable
  • Add 500ms delays between paginated video.list requests to stay within the 30 req/min limit
  • Monitor X-RateLimit-Remaining header and pause when it reaches 0
  • Store analytics snapshots in your own database to enable trend calculations since TikTok's API only returns current values, not historical data
  • Run analytics jobs no more than twice daily — more frequent polling doesn't improve data freshness since counts update slowly

Security checklist

  • Store client_key, client_secret, access_token, and refresh_token in environment variables or a secrets manager
  • Implement automated token refresh with failure alerts — silent token expiry is the most common production failure
  • Never log full token values — log only first 8 characters for debugging
  • The refresh_token is a long-term credential (365 days) — treat it with the same security as a password
  • Never expose TikTok API credentials in client-side JavaScript or mobile app code
  • Track token refresh events in your audit log with timestamps

Automation use cases

Weekly Performance Report

intermediate

Run a weekly cron job to fetch account stats and video metrics, calculate engagement rates, and deliver a formatted report to Slack or email every Monday morning.

Follower Growth Tracker

beginner

Store daily follower count snapshots in a database and calculate weekly/monthly growth rates, alerting when growth accelerates or decelerates significantly.

Content Performance Benchmarker

intermediate

Compare each new video's first-48-hour view count against historical averages to classify content as underperforming, average, or viral — and adjust promotion strategy accordingly.

Multi-Account Agency Dashboard

advanced

Aggregate TikTok analytics across multiple creator accounts (each with their own OAuth tokens) into a single consolidated report comparing performance.

No-code alternatives

Don't want to write code? These platforms can automate the same workflows visually.

Zapier

Free tier (limited); Starter from $19.99/month

Zapier's TikTok integration is limited and cannot pull the metrics available via the API. It mainly handles TikTok Lead Generation, not analytics.

Pros
  • + No code required
  • + Good for lead gen workflows
  • + Easy setup
Cons
  • - No analytics API access
  • - TikTok integration is very limited
  • - Paid for automations

Make (formerly Integromat)

Free tier (1,000 ops/month); Core from $9/month

Make has basic TikTok modules but limited analytics support. The same API data limitations apply — watch time and FYP impressions are not accessible via any tool.

Pros
  • + More affordable than Zapier
  • + Some TikTok video operations
  • + Visual scenario building
Cons
  • - Same API data limitations
  • - Limited TikTok module
  • - Cannot bypass API restrictions

n8n

Free (self-hosted); Cloud from $20/month

n8n can build TikTok analytics pipelines via HTTP request nodes hitting the same public API endpoints described here, with full control over data processing.

Pros
  • + Free self-hosted
  • + Full HTTP API control
  • + Can store time-series data in connected databases
Cons
  • - Same API limitations
  • - Requires server setup
  • - No TikTok native node — HTTP requests only

Best practices

  • Always refresh the access token at the start of every analytics run — do not rely on checking expiry timestamps
  • Store time-series snapshots of follower_count and likes_count daily since TikTok's API only returns current values with no historical data
  • Clearly document in your reports that watch time, FYP impressions, and audience demographics are NOT available via any public TikTok API
  • Use share_rate (shares/views) as your primary content quality signal since TikTok's algorithm weights shares heavily for FYP distribution
  • Paginate the video.list endpoint with 500ms delays to avoid hitting the 30 req/min limit during bulk historical data fetches
  • Alert on token refresh failures — a single failed refresh means your next analytics run will fail silently with auth errors

Ask AI to help

Copy one of these prompts to get a personalized, working implementation.

ChatGPT / Claude Prompt

I'm building a TikTok analytics reporter using the TikTok API v2. I fetch account stats via GET /v2/user/info/?fields=follower_count,likes_count,video_count and per-video metrics via POST /v2/video/list/ with fields like_count, comment_count, share_count, view_count. The access token expires every 24 hours. Help me: 1) build a time-series tracking system using PostgreSQL to store daily snapshots and calculate week-over-week growth, 2) implement an engagement rate calculator that weights shares more heavily than likes (TikTok weights shares for FYP distribution), 3) create a comparative report that benchmarks each new video against the account's historical median performance.

Lovable / V0 Prompt

Build a React TikTok analytics dashboard. It should have: KPI cards for follower count, total likes, video count, and average views per video; a line chart showing follower growth over time (from stored daily snapshots, not real-time API); a videos table with thumbnail (using video ID), title, view count, engagement rate sorted by views; a prominent banner explaining that watch time, FYP impressions, and demographics are only available in TikTok Studio (with a direct link); and a refresh button that calls the TikTok API via Supabase Edge Function. Store historical data in Supabase with daily snapshots.

Frequently asked questions

Is the TikTok analytics API free?

The Content Posting API and basic user/video stats endpoints are free. You need a TikTok developer account (free at developers.tiktok.com) and app approval for the user.info.stats and video.list scopes. The Research API for advanced analytics is also free but restricted to academic institutions in approved countries.

Why can't I get watch time or FYP impressions from the TikTok API?

TikTok has not exposed these metrics in its public API. Watch time (average seconds watched), For You Page impressions, completion rate, and audience demographics are only available in TikTok Studio (studio.tiktok.com) and the TikTok Business Center. This is a deliberate limitation — TikTok considers these metrics proprietary. No third-party tool can provide them without a special data partnership agreement with TikTok.

What happens when my access token expires?

You'll get error code 'access_token_invalid' (HTTP 401). All API calls fail until you refresh. Use POST https://open.tiktokapis.com/v2/oauth/token/ with grant_type=refresh_token and your 365-day refresh_token to get a new 24-hour access_token. Implement this as an automated job running every 18-20 hours. If your refresh token also expires (after 365 days), the user must manually re-authorize your app.

How can I calculate follower growth over time if the API only returns current values?

Store daily snapshots. Run a cron job every 24 hours that fetches /v2/user/info/?fields=follower_count and writes a row to your database with the count and a timestamp. Week-over-week growth = today's snapshot minus the snapshot from 7 days ago. This is the only way to build historical trend data since TikTok's API provides only current account totals, not historical time series.

Can I track how many views my videos get over time?

Partially. The /v2/video/list/ endpoint returns the current cumulative view_count for each video. By polling it daily and storing snapshots, you can see total views per video over time. However, you cannot get daily view breakdowns (e.g., 'this video got 5,000 views specifically on May 7th') — that level of granularity is only in TikTok Studio.

Can RapidDev build a TikTok analytics system for my team?

Yes — RapidDev builds analytics dashboards that combine TikTok's available API data with time-series storage to deliver actionable reports. We handle the TikTok developer setup, token refresh automation, data pipeline to PostgreSQL, and a custom reporting interface. Book a free consultation at rapidevelopers.com.

Does the TikTok API provide audience demographic data?

No. Audience demographics (age range, gender distribution, top countries, top cities) are not available through any public TikTok API endpoint. This data is visible in TikTok Studio's Followers tab and Analytics section but is not exposed via the API. Demographic data access would require a special TikTok partner agreement, which is not available to general developers.

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