TikTok Scraper: TikTok Super for Profiles, Comments, Ads & Shop

This TikTok scraper collects public profiles, videos, comments, ads and Shop products for marketing research, creator analysis and price tracking. TikTok Super combines profiles, keyword search, comments, downloads, related videos, the Explore feed, hashtag reach, the TikTok Ad Library and TikTok Shop in one dataset.

Give it a mix of handles, keywords, video links, advertisers or shop terms and get one combined dataset. Each result row identifies its source, so you can separate a creator's videos from keyword matches, comments, ads and products. The Actor combines records; it does not infer relationships between a creator, an advertiser and a Shop seller. Use the returned identifiers for your own joins.

What the TikTok Super Scraper gives you

• Account data: handle, display name, follower and like counts for any public TikTok account — on search account rows (result_type: "account"), and handle plus follower count on every video row.
• Videos: caption, play/like/comment/share/save counts, duration, sound, hashtags and posting date, per account, per keyword, per related seed, or from the public Explore feed.
• Comments: one row per comment (and reply, when enabled) with text, like count, reply count and author.
• Related videos: for any seed video, the videos TikTok surfaces as related, about sixteen per seed (fewer once max_per_source is reached), each a full record, to widen coverage from a starting point.
• Hashtag reach: how many videos carry a hashtag and how many views they have between them.
• Ads: matching TikTok Ad Library records up to your requested limit, with format, first/last shown dates, media links, impressions and spend fields. Zero impressions or an empty spend field do not establish campaign performance.
• Shop products: title, sale and original price, currency, brand, rating, reviews, units sold, images and seller for TikTok Shop listings.

Every result row carries source and source_actor. The separate run summary has its own shape and does not carry these two result labels.

Why scrape TikTok

Public TikTok content is spread across profile pages, search results, comment threads, the ad library and Shop listings. A TikTok data scraper makes those records available for spreadsheets, scheduled reports and analysis from code. Use this Actor when a research task needs several of those sources together. Counts, captions, dates and prices retain their source-specific fields rather than being reduced to a single generic metric. Availability varies by source, region and target, and a run does not promise a complete historical archive.

Two ways to run it

Auto mode. Set query to a single term and it fans out to every term-driven source at once, the same string is used as the account handle, the search keyword, the advertiser name, the shop keyword and the hashtag. One input gives you the account, its search landscape, the ads that brand runs and matching Shop products in one dataset.

Flexible mode. Leave query empty and fill only the per-source fields you want. Each source runs on its own input and only the fields you fill are run.

The two modes combine: any non-empty per-source field overrides query for that source. Comments, downloads and related videos always need explicit video links or IDs. An account in profiles does not automatically populate comment_videos; provide the video links whose comments you want to collect.

Input

Provide a query (auto mode) and/or the per-source fields (flexible mode). List inputs also accept comma-separated or newline-separated strings. Empty list entries are ignored. The Console prefills profiles with @nasa; this is a form suggestion, not an account silently added to API requests. Numeric and boolean defaults apply when omitted. Input with no usable target fails with an English explanation.

Field	Type	What it does
query	string	Auto mode: one term used as handle, keyword, advertiser, shop term and hashtag at once
profiles	array, string or null	Handles or profile links; returns recent videos with creator details; Console prefill is @nasa
keywords	array, string or null	Keyword search; returns matching videos per keyword
comment_videos	array, string or null	Video links/ids; returns comments (and replies) per video
download_videos	array, string or null	Video links/ids; returns the media file/URL and quality ladder
advertisers	array, string or null	Advertiser names; returns ads from the TikTok Ad Library
shop_keywords	array, string or null	Keywords; returns TikTok Shop products
hashtags	array, string or null	Hashtags; returns reach figures
related_to	array, string or null	Seed video links/ids; returns related videos per seed
explore	integer	Explore videos requested, 0–30; default 0 disables it
explore_category	string	Explore category ID; default "0" selects the mixed feed
sources	array, string or null	Select profile, search, comments, downloads, ads or shop; empty means all sources with input
region	string	Market code, such as US or NL; default "US"; unsupported ad-library regions fall back to all
max_per_source	integer	Hard row cap per source call, 1–500; default 50; several calls can each reach this limit
include_replies	boolean	Fetch comment replies; default false
quality	string	Download quality: highest, 1080p, 720p, 540p or lowest; empty uses the default, unknown values use highest
concurrency	integer	Concurrent source calls, 1–6; default 3
actor_ids	object	Advanced per-source Actor IDs; the specified Actor is called with the source input. Public HTTP(S) endpoint overrides are also accepted
cursor	string	Continuation cursor from a previous response's next_cursor; leave empty for a fresh run

The list fields accept arrays of strings or strings separated by commas or newlines. A null list is treated as empty. Use the exact sources values profile, search, comments, downloads, ads and shop; unknown names are ignored. Only an empty or omitted selection uses all sources with input. A non-empty selection with no recognised names fails with an English explanation because it has no usable source plan. Hashtags, related videos and Explore belong to profile for source selection.

Start with a measured profile input

This input was used in a real validation run that returned five NASA videos:

{
  "profiles": ["@nasa"],
  "max_per_source": 5
}

Set only the targets you need, check the returned source counts, then increase max_per_source. A run with several keywords or advertisers can return more than that number in total because the cap applies to each call, not the whole run.

Output

The default dataset holds one tiktok_super_summary row (rows per source, which sources returned data, and any per-source errors) followed by one row per result, each tagged with its source: profile, search, comments, downloads, ads or shop. hashtags, related_to and the Explore feed all come back as profile rows. Profile mode delivers video rows containing creator details; account records from search use result_type: "account".

The following video excerpt comes from the same NASA run as the input above (Apify run aFDglCs7DGMyuiIvb). Values are copied from its saved response, not estimates, and current engagement counts may differ:

{
  "source": "profile",
  "source_actor": "tiktok-profile",
  "video_id": "7665075736742530317",
  "url": "https://www.tiktok.com/@nasa/video/7665075736742530317",
  "description": "Something big just landed on TikTok.",
  "created_at": "2026-07-21T20:09:02Z",
  "play_count": 1500000,
  "like_count": 100200,
  "comment_count": 2942,
  "share_count": 3205,
  "handle": "nasa",
  "follower_count": 2000000,
  "hashtags": null
}

Output fields and record types

The summary contains _type: "tiktok_super_summary", sources_requested and sources_with_rows as lists, rows_per_source as an object of integer counts, total_rows as an integer and errors as a list. Each error contains source, actor, input and error. The same summary and error list remain available in the run's key-value store as summary and errors.

Video records preserve IDs, URLs, dates and the count fields in the example. They also carry saves, duration, dimensions, cover links and music metadata when available. Existing aliases remain available, including video_id/post_id, url/post_url, description/text, created_at/posted_at, play_count/views, like_count/likes, comment_count/comments_count, share_count/shares, handle/author_handle and author_id/account_id. Counts are numbers, IDs are strings, and an unavailable value may be null; a video without hashtags can have hashtags: null.

Comment rows contain comment and video IDs, text, author details, like and reply counts, and reply flags. Hashtag rows contain reach counts rather than a video list. Ad rows retain videos as a list and video_url as a string or null; nested video objects carry video_url and cover_image. Download rows retain file_url and file_size_bytes, including null when a file is unavailable, plus selected_media_url, selected_quality and qualities. Each quality entry retains label, resolution, bitrate, codec, dimensions, byte size and URL. Shop rows retain product identifiers, title, sale and original prices, currency, brand, rating, reviews, units sold, images and seller fields.

For large jobs, the Apify run follows continuation pages and assembles the dataset. The summary row appears once at the front of that assembled dataset. The additional OUTPUT record reports warnings and partial results. If you explicitly resume from a returned next_cursor, pass it unchanged as cursor with the same targets. A final failed media transfer can still deliver real video metadata with an unavailable file, accompanied by a warning.

Complete field reference

The tables preserve the exact field names from the saved legacy responses and the source row builders. Fields vary by record type and enabled options; a null value means unavailable. Added aliases accompany the existing fields. Arrays contain the element type shown below. Dates and fetched_at are strings; fetched_at uses ISO 8601 UTC. Source-specific identifiers stay strings.

Video rows

Field	JSON type
_type	string
account_id	string or null
author_avatar_url	string or null
author_bio	string or null
author_handle	string or null
author_id	string or null
author_private	boolean or null
author_sec_uid	string or null
author_verified	boolean or null
author_video_count	integer or null
avatar_file_key	string or null
avatar_file_url	string or null
collect_count	integer or null
comment_count	integer or null
comments_count	integer or null
cover_file_key	string or null
cover_file_url	string or null
cover_url	string or null
created_at	string or null
description	string or null
duration_seconds	integer or null
fetched_at	string or null
follower_count	integer or null
handle	string or null
hashtags	array
hashtags_normalized	array
height	integer or null
is_ad	boolean or null
like_count	integer or null
likes	integer or null
music_author	string or null
music_cover_file_key	string or null
music_cover_file_url	string or null
music_id	string or null
music_title	string or null
nickname	string or null
platform	string or null
play_count	integer or null
position	integer or null
post_id	string or null
post_url	string or null
posted_at	string or null
record_type	string or null
search_page	integer or null
search_term	string or null
seed_video_id	string or null
share_count	integer or null
shares	integer or null
slideshow_file_keys	array
slideshow_file_urls	array
source	string or null
source_actor	string or null
text	string or null
url	string or null
video_file_key	string or null
video_file_url	string or null
video_id	string or null
views	integer or null
width	integer or null

Hashtag rows

Field	JSON type
_type	string
description	string or null
fetched_at	string or null
hashtag	string or null
hashtag_id	string or null
is_commerce	boolean or null
platform	string or null
position	integer or null
record_type	string or null
source	string or null
source_actor	string or null
url	string or null
video_count	integer or null
view_count	integer or null

Comment rows

Field	JSON type
_type	string
author_handle	string or null
author_id	string or null
avatar_url	string or null
comment_id	string or null
created_at	string or null
fetched_at	string or null
handle	string or null
is_author	boolean or null
is_pinned	boolean or null
is_reply	boolean or null
language	string or null
like_count	integer or null
liked_by_author	boolean or null
likes	integer or null
nickname	string or null
parent_comment_id	string or null
platform	string or null
position	integer or null
post_id	string or null
posted_at	string or null
reply_count	integer or null
source	string or null
source_actor	string or null
text	string or null
user_id	string or null
user_region	string or null
user_signature	string or null
user_url	string or null
video_comment_total	integer or null
video_id	string or null

Download rows

Field	JSON type
_type	string
author_id	string or null
collect_count	integer or null
comment_count	integer or null
cover_url	string or null
created_at	string or null
description	string or null
download_url	string or null
duration_seconds	integer or null
dynamic_cover_url	string or null
fetched_at	string or null
file_size_bytes	integer or null
file_url	string or null
handle	string or null
hashtags	array
hashtags_normalized	array
height	integer or null
is_ad	boolean or null
like_count	integer or null
media_cookie_header	string or null
music_author	string or null
music_id	string or null
music_title	string or null
music_url	string or null
nickname	string or null
platform	string or null
play_count	integer or null
play_url	string or null
position	integer or null
qualities	array
selected_media_url	string or null
selected_quality	string or null
share_count	integer or null
source	string or null
source_actor	string or null
source_url	string or null
url	string or null
video_id	string or null
width	integer or null

Shop rows

Field	JSON type
_type	string
brand	string or null
category_path	array
country	string or null
currency	string or null
currency_symbol	string or null
description	string or null
discount_percent	number or null
fetched_at	string or null
found_on	string or null
image_url	string or null
original_price	number or null
platform	string or null
position	integer or null
price	integer or number or null
price_masked	string or null
product_id	string or null
promotion_labels	array
rating	number or null
review_count	integer or null
saving	number or null
seller	string or null
seller_followers	integer or null
seller_id	string or null
seller_product_count	integer or null
seller_sold_count	integer or null
sku_id	string or null
slug	string or null
sold_count	integer or null
source	string or null
source_actor	string or null
title	string or null
url	string or null

Ad rows

Field	JSON type
_next_offset	integer or null
_next_search_id	string or null
_type	string
ad_id	string or null
ad_status	string or null
ad_text	string or null
ad_type	string or null
advertiser_name	string or null
audit_status	string or null
creative_id	string or null
days_active	integer or null
days_shown	integer or null
deeplink	string or null
estimated_audience	string or null
fetched_at	string or null
first_seen	string or null
first_shown	string or null
format	string or null
image_url	string or null
image_urls	array
impression	integer or null
last_seen	string or null
last_shown	string or null
pages_fetched	integer or null
platform	string or null
query	string or null
region	string or null
region_code	string or null
result_type	string or null
sort	string or null
source	string or null
source_actor	string or null
spent	string or null
text	string or null
total_ads_in_search	integer or null
video_url	string or null
videos	array

Account rows

Field	JSON type
_type	string
author_id	string or null
author_verified	boolean or null
avatar_url	string or null
bio	string or null
fetched_at	string or null
follower_count	integer or null
handle	string or null
is_live	boolean or null
nickname	string or null
platform	string or null
position	integer or null
search_term	string or null
sec_uid	string or null
source	string or null
source_actor	string or null
total_likes	integer or null
url	string or null
verified_reason	string or null

Summary rows

Field	JSON type
_type	string
errors	array
rows_per_source	object
sources_requested	array
sources_with_rows	array
total_rows	integer

Nested fields

Field	JSON type
videos[].video_url	string
videos[].cover_image	string
qualities[].label	string
qualities[].resolution	integer
qualities[].bitrate	integer
qualities[].codec	string
qualities[].width	integer
qualities[].height	integer
qualities[].size_bytes	integer
qualities[].url	string
errors[].source	string
errors[].actor	string
errors[].input	object
errors[].error	string
rows_per_source.<source>	integer

The errors list in the summary uses the same nested shape. input contains the exact source-call input. source_actor retains the source label, including when actor_ids selects another Actor. Download file fields can be null after a failed transfer; ad videos remains an array when no video is available.

Use cases

Competitor content intelligence. Marketing and social teams give the actor a competitor's handle plus a set of keywords and get the competitor's recent videos, the engagement on each, and the videos ranking for those keywords in one table. Grouping by source separates the account's own output from the wider keyword landscape, so you can see both what they post and what they compete against.

Ad and campaign monitoring. Growth and paid-media teams pass a list of advertisers and get matching TikTok Ad Library records within their row limit. Compare formats and publication dates across scheduled runs to spot creative changes. Retain impressions and spend as returned; sparse values do not support estimates of campaign budgets, conversions or return on advertising spend.

Creator research and outreach. Agencies and brand teams pass a set of handles and get follower counts, video output and per-video engagement, the numbers you need to size a creator before a partnership, without opening TikTok forty times.

Product and price tracking on TikTok Shop. E-commerce teams pass shop keywords and get products with prices, ratings, review counts and units sold, for catalogue research or competitor price monitoring in the market you set with region.

TikTok profile scraper and video research

Use TikTok Super as a TikTok profile scraper when you need recent public videos and their creator details alongside other sources. A TikTok video scraper workflow starts with profiles for known creators or keywords for discovery. Compare captions, posting dates and returned engagement counts, using video_id or post_id to identify videos across scheduled runs. With the default sources, profile input produces video records with creator fields, rather than a separate account row for each handle. Search can also return account records, identified by result_type: "account".

TikTok scraper API

A TikTok scraper API lets you collect TikTok data as JSON from code. Start this Actor through the Apify API with the same input as the Console and read the dataset when the run finishes. Authenticate to Apify with your Apify token; no TikTok account or TikTok credentials are required.

{"query": "nike", "max_per_source": 3}

This auto-mode input also comes from a real validation run. The same term drives the account, keyword search, advertiser, Shop search and hashtag unless you provide explicit per-source targets. Flexible mode uses the same JSON structure with those targets instead. Poll the run and download its dataset as JSON, CSV or Excel. Billing follows delivered result rows.

How this TikTok scraper compares

Clockworks' TikTok Scraper already covers profiles, search, hashtags, downloads and related videos, with options such as subtitles and follower lists. API Dojo's TikTok Scraper also offers several TikTok record types and a pay-per-result model. Check their input schemas when you need those specific features.

TikTok Super focuses on combining profiles, search, comments, downloads, ads and Shop results under the existing query and per-source inputs, with one summary and source labels. Its hashtag mode returns reach figures, and it does not collect follower lists or subtitles. For dedicated controls on one source, use our TikTok Ads Library Scraper, TikTok Profile Scraper, comment or Shop Actors linked below. A mixed dataset still needs your own analysis to connect records across sources.

Pricing

The existing pay-per-event price is $0.0003 per delivered result row, or $0.30 per 1,000 results, across all sources. The event is named item. There is no run fee, the summary row is not billed, and a valid search with no results incurs no result charge. You pay for delivered records, including video metadata when a requested media file could not be transferred.

For users on Apify's free plan, delivery is capped at ten dataset rows per run, including the summary row: at most nine result rows. Their max_per_source input is also capped at ten. This is a delivery limit; it does not change the result price. Paying users retain their requested cap. max_per_source is per call, so a mixed run can contain several separately capped result groups.

Limits and gotchas

• Source availability varies. Explore is best-effort, and any source can return fewer results or become temporarily unavailable. Check rows_per_source, errors and warnings before treating a missing result as a market signal.
• Hashtags return reach, not the video list. TikTok does not serve a hashtag's videos to logged-out visitors, so the hashtag source returns counts and says so, rather than an empty list.
• Login-gated data is out of scope. A logged-out visitor's view is what you get; private accounts, follower lists and anything behind a login are not available.
• Set region to the market you want. Prices, currency and some feeds vary by country. The ad library supports its own regional selection; unsupported values, including US, use its global all setting.
• max_per_source limits each call. Multiple keywords, videos or advertisers can generate several calls. It is not a total spending limit; use Apify's maximum total charge setting to limit the run's overall spend.
• Media availability varies. Media links can expire, and video metadata can be returned even when a file is unavailable. Download needed files while their links are valid.

FAQ

Can I scrape TikTok without an API key? No TikTok API key or account is needed. Console runs use your Apify account, and API runs require your Apify token.

Can I get TikTok videos and their comments in one run? Yes. Put account handles or profile links in profiles and explicit video links or IDs in comment_videos. The Actor does not discover comment targets from profile results.

Does this TikTok comment scraper collect replies? Set include_replies to true with comment_videos to request replies. The default is false. Returned comment records retain is_reply, parent_comment_id, reply_count and author fields, so you can distinguish replies from top-level comments. The requested limit and source availability still apply.

Does it scrape the TikTok Ad Library? Yes. Use advertisers for matching library ads, limited by max_per_source and the library's regional coverage.

Can I scrape TikTok Shop prices? Yes, via shop_keywords, with price, rating, reviews and units sold per product.

Is there a TikTok hashtag scraper? Yes, via hashtags: each one comes back with how many videos carry the tag and how many views those videos have in total, tagged profile like the rest of the account data.

Can I limit which sources run? Yes. Fill only the fields you need, or set sources to an explicit list. With query enabled, restrict sources when you want only some of the term-driven sources.

Is there a TikTok scraper API? Yes. Start the Actor with JSON input through the Apify API, poll the run and read the dataset. Input fields and result pricing are the same as in the Console.

What happens when one source returns nothing? Other sources can still deliver records. Check the summary's source counts and errors. A valid run with no matches succeeds without billed results; input with no target fails validation.

Related Actors

• TikTok Profile Scraper
• TikTok Ad Library Scraper
• TikTok Comment Scraper
• TikTok Shop Scraper