Tiktok Comments Scraper

TikTok Comments Scraper — Comments With Full Nested Reply Threads

TikTok Comments Scraper pulls comments and nested reply threads from any public TikTok video, whether you hand it direct video URLs or a creator's username. Every run returns structured JSON: comment text, like counts, timestamps, commenter usernames and IDs, @mentions, and — unlike a plain top-level comment list — full reply threads paged past TikTok's 20-reply-per-page ceiling. Output ships as JSON, CSV, or Excel, ready to load into a spreadsheet, index into a vector store, or pass straight to an LLM as grounding context. No TikTok account, login, or session cookie is required to run it.

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What is TikTok Comments Scraper?

TikTok Comments Scraper is a query-driven Apify Actor that takes either a list of TikTok video URLs or a list of creator usernames and returns every comment TikTok will serve for those videos — including the full reply thread under each comment, not just the first page. No TikTok account, login, or session cookie is required; every endpoint it calls publicly is the same one a logged-out browser calls when you open a video.

What sets it apart from a plain top-level comment scraper: replies are paged on their own cursor/has_more sequence until your requested count is met, so a thread with hundreds of replies is retrieved past the 20-per-request limit TikTok's reply endpoint imposes on a single call — rather than being truncated at that first page the way a naive implementation would be.

Key capabilities:

• 💬 Scrape comments directly from a list of TikTok video URLs (postURLs)
• 🔍 Discover a creator's videos or reposts from a username, then scrape comments from each one (profiles)
• 🧵 Collect full nested reply threads per comment, paged past TikTok's 20-reply-per-page cap (maxRepliesPerComment)
• 📅 Filter which of a profile's videos get scraped by upload date (oldestPostDateUnified, newestPostDate)
• 📌 Exclude a profile's pinned videos from the scrape (excludePinnedPosts)
• 🔀 Sort a profile's videos by latest, most popular, or oldest before deciding which ones to scrape (profileSorting)

The run also escalates proxies automatically — starting with no proxy at all and stepping up to a datacenter proxy, then residential, only when TikTok actually blocks a request.

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What data can you get with TikTok Comments Scraper?

TikTok Comments Scraper returns two result types in every run — top-level comments and the reply threads nested inside them — plus an intermediate video-discovery step when you query by profile instead of by URL.

Result Type	Extracted Fields	Primary Use Case
Top-level comments	text, diggCount, createTimeISO, uniqueId, uid, avatarThumbnail, mentions, isMediaOnlyComment, replyCommentTotal, likedByAuthor, pinnedByAuthor, replies	Sentiment analysis, social listening, engagement ranking
Nested replies	Same row shape as comments, embedded inside the parent's replies array, with repliesToId set to the parent cid and replyCommentTotal/pinnedByAuthor forced to null because TikTok never sends those two keys on a reply object	Conversation-thread analysis, spotting creator/brand replies buried in a thread
Discovered videos (from profiles)	Resolved internally into a videoWebUrl for each comment row; the video itself is never pushed as its own dataset row	Turning a creator handle into a comment-ready URL list without a separate lookup step

Full nested reply threads

This is the capability that separates TikTok Comments Scraper from a scraper that only grabs the first page of replies. TikTok's reply endpoint (/api/comment/list/reply/) caps a single request at 20 rows regardless of what you ask for — a naive integration that calls it once and stops will never return more than 20 replies per comment, no matter how deep the thread actually goes. TikTok Comments Scraper instead follows the endpoint's own cursor and has_more fields, issuing additional requests until either your maxRepliesPerComment target is met or TikTok reports no more pages, so a heavily-replied comment is retrieved in full rather than clipped at the first page:

{
  "cid": "7578551234567890123",
  "text": "wait this is actually insane",
  "replyCommentTotal": 3,
  "replies": [
    { "cid": "7578551234567899001", "repliesToId": "7578551234567890123", "text": "fr fr" },
    { "cid": "7578551234567899002", "repliesToId": "7578551234567890123", "text": "no cap" }
  ]
}

Set maxRepliesPerComment to 0 to skip reply collection entirely — the reply endpoint is never called and the run finishes faster.

Profile video discovery

When you query by profiles instead of postURLs, the Actor first has to decide which of a creator's videos to scrape comments from. resultsPerPage sets how many videos to take per profile, profileScrapeSections chooses between a creator's own videos and their reposts, profileSorting orders the candidate videos by latest, popular, or oldest, and oldestPostDateUnified/newestPostDate narrow that set to a date window before excludePinnedPosts drops any pinned entries. Only the resulting video URLs are used — none of this discovery step's own metadata is pushed to the dataset.

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Why not build this yourself?

TikTok does not offer a self-serve official API for pulling comments off an arbitrary public video. Its developer platform exposes a Display API scoped to the videos of the authenticated creator's own account, and a separate Research API restricted to vetted academic institutions — neither lets a general developer query the comments of any public video by URL the way this Actor does.

Building that yourself means reverse-engineering unpublished internal endpoints (/api/comment/list/, /api/comment/list/reply/, /api/post/item_list/) that TikTok can reshape without notice, and correctly telling apart three outcomes that all arrive as an ordinary HTTP 200: a real (possibly empty) comment page, a WAF challenge page of a few hundred to a few thousand bytes, and a signed-endpoint refusal that comes back as a 0-byte body. Getting that classification wrong means a blocked run silently reports "0 comments, success" instead of failing loudly. It also means building and maintaining a proxy escalation strategy, because a fixed proxy tier either wastes money on traffic that didn't need it or gets blocked on traffic that did.

TikTok Comments Scraper handles all of that: response-size-based verdict classification (ok, blocked, challenge, refusal, error), a proxy ladder that starts with no proxy and only escalates to datacenter and then residential when TikTok actually blocks a request, and comment/reply pagination that follows TikTok's own cursors instead of assuming a fixed page stride.

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What is the difference between a comment scraper and a reply-thread scraper?

A comment scraper returns the list of top-level comments TikTok shows under a video; a reply-thread scraper additionally follows each comment's own reply thread past whatever single-page limit the reply endpoint imposes. The distinction matters because TikTok's most useful conversational context — a creator replying to a specific comment, a correction, a running joke, a customer-service response — usually lives inside the replies, not in the top-level list. A tool that stops at the first 20 replies per comment silently drops exactly the part of the thread that a brand-monitoring or moderation workflow is most likely to need.

TikTok Comments Scraper returns both in a single run: top-level comments as the primary pushed rows, each carrying a nested replies array built from the same row structure, paged past the reply endpoint's 20-per-request cap up to your maxRepliesPerComment value. There is no separate mode to switch on — every run that sets maxRepliesPerComment above 0 collects full threads by default.

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How to scrape TikTok comments with TikTok Comments Scraper?

1. Open TikTok Comments Scraper on the Apify Store and click Try for free, or find it under your existing Actors in the Apify Console.
2. Enter your query: paste one or more TikTok video URLs into postURLs, or switch to the Comments from TikTok profiles section and enter one or more usernames into profiles.
3. Set the real query controls you need — commentsPerPost and maxRepliesPerComment for volume, and for profile queries: resultsPerPage, profileScrapeSections, profileSorting, oldestPostDateUnified/newestPostDate, and excludePinnedPosts.
4. Click Start and let the run finish. Progress and any proxy-escalation or blocking events are logged live.
5. Open the Output tab and download the results as JSON, CSV, or Excel — or pull them programmatically with the Apify API or apify-client.

{
  "postURLs": ["https://www.tiktok.com/@mrbeast/video/7578547467189374239"],
  "commentsPerPost": 50,
  "maxRepliesPerComment": 10
}

How to run multiple queries in one job

Add every URL you want to postURLs, or every username you want to profiles — both fields accept an array, and the Input tab's Bulk edit mode lets you paste a prepared list instead of adding items one at a time. A single run processes every URL you provide; internally, videos are worked on concurrently rather than one at a time, so a batch of URLs does not run strictly sequentially.

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⬇️ Input

TikTok Comments Scraper takes either a list of video URLs or a list of usernames — never both at once, since postURLs wins whenever it is non-empty and profiles is ignored in that case. Everything else is optional and has a schema default.

Parameter	Type	Required	Default	Constraints	Description
postURLs	array of strings	No	—	stringList editor	TikTok video URLs to extract comments from. Add them one by one or paste a list in Bulk edit. Tracking parameters such as ?is_from_webapp=1 are stripped automatically.
commentsPerPost	integer	No	10	minimum: 1	Top-level comments to collect per video. TikTok serves roughly 47–50 comments per API page, so the final count can land slightly under a request that is not a multiple of the page size.
maxRepliesPerComment	integer	No	3	minimum: 0	Replies to collect from each comment that has any. The reply endpoint is paged 20 at a time until this number is met, so values above 20 are honoured. Set to 0 to skip replies entirely and run faster.
profiles	array of strings	No	—	stringList editor. Ignored when postURLs is filled in.	One or more TikTok usernames, with or without the leading @. Use Bulk edit to paste a prepared list.
resultsPerPage	integer	No	10	minimum: 1, maximum: 1000000	Videos to take from each profile. Values above 1,000 are coerced down to 1,000 at runtime — the schema maximum stays at 1,000,000 so this coercion never rejects an input outright, but the effective ceiling is 1,000 and the coercion is logged.
profileScrapeSections	array of strings	No	["videos"]	minItems: 1, uniqueItems: true, enum: videos, reposts	Which of a profile's sections to scrape. videos uses a plain HTTP request. reposts has no HTTP equivalent and starts a headless browser, so it is noticeably slower.
profileSorting	string	No	"latest"	enum: latest, popular, oldest	latest reads the profile feed in order. popular and oldest collect a wider window of recent videos — up to 5× your requested count, capped at 200 — and sort within that window, so they approximate rather than search a creator's whole history.
oldestPostDateUnified	string	No	—	datepicker editor, absolute (YYYY-MM-DD) or relative (5 days, 2 weeks)	Only videos uploaded on or after this date are used. Filters videos, not comments.
newestPostDate	string	No	—	Same format as above	Only videos uploaded on or before this date are used. Filters videos, not comments.
excludePinnedPosts	boolean	No	false	—	Skip a profile's pinned videos, which are usually the first ones shown on the profile page. Applies to the videos section. On the reposts section the pinned check currently has nothing to check against — a repost item never carries pinned status — so a pinned repost is not filtered out even with this set to true.
proxyConfiguration	object	No	{"useApifyProxy": false}	proxy editor	Proxy settings. The run starts with no proxy, which is normally enough. If TikTok blocks a request it escalates to a datacenter proxy and then to residential with 3 retries.

No field in this schema is a credential or secret — the Actor does not accept a TikTok login, API key, or cookie as input at all.

Example JSON input

{
  "postURLs": [
    "https://www.tiktok.com/@mrbeast/video/7578547467189374239"
  ],
  "commentsPerPost": 50,
  "maxRepliesPerComment": 10,
  "profiles": [],
  "resultsPerPage": 10,
  "profileScrapeSections": ["videos"],
  "profileSorting": "latest",
  "excludePinnedPosts": false,
  "proxyConfiguration": { "useApifyProxy": false }
}

Common pitfall: filling in both postURLs and profiles in the same run. postURLs always wins — profiles is silently ignored, not merged. If you want both a fixed URL list and profile-based discovery in one job, run them as two separate Actor runs.

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⬆️ Output

Every comment and every reply is pushed as a typed, normalized JSON row with a consistent schema across runs. Export it from the Output tab as JSON, CSV, or Excel, or pull it with the Apify API. The full array from a run is also written to the key-value store as output.json for a single-file download alongside the dataset.

Only top-level comments are pushed as their own dataset rows; their replies live nested inside that row's replies array rather than as separate top-level rows.

Field	Type	Description
videoWebUrl	string	Canonical URL of the video the comment belongs to, with tracking parameters and any vm/vt short-link redirect already resolved.
submittedVideoUrl	string	The same resolved canonical URL.
input	string	The URL exactly as it was processed for this row — useful for tracing a row back to a specific postURLs entry.
cid	string	TikTok's comment ID. Unique per row.
createTime	integer	Unix timestamp, in seconds, of when the comment was posted.
createTimeISO	string	The same timestamp as an ISO 8601 UTC string.
text	string	The comment text. Empty when the comment is an image or sticker with no text — see isMediaOnlyComment.
diggCount	integer	Number of likes on the comment.
likedByAuthor	boolean or null	Whether the video's author liked this comment. null if TikTok did not send the underlying is_author_digged field on this row.
pinnedByAuthor	boolean or null	Whether the author pinned this comment. TikTok only ever sends this field on top-level comments — it is always null on a reply row.
repliesToId	string or null	The parent comment's cid. null on a top-level comment, populated on every reply.
replyCommentTotal	integer or null	How many replies TikTok reports for this comment. TikTok only sends this on top-level comments — it is always null on a reply row.
uid	string	Commenter's numeric TikTok user ID.
uniqueId	string	Commenter's @username.
avatarThumbnail	string	URL of the commenter's avatar image.
mentions	array of strings	@handles parsed out of the comment text.
isMediaOnlyComment	boolean	true when the comment has no text because it consists of an image or sticker instead.
replies	array of objects	Nested reply rows, each built from this same field set (minus replies, since TikTok's reply threads are one level deep). Present on top-level comment rows only — a reply object never has its own replies key.

The default dataset view in the Apify Console shows a 10-column subset of this — text, isMediaOnlyComment, diggCount, replyCommentTotal, createTimeISO, uniqueId, videoWebUrl, uid, cid, and avatarThumbnail — for readability. The full row, including submittedVideoUrl, input, createTime, likedByAuthor, pinnedByAuthor, repliesToId, mentions, and replies, is present in every export and in the API response; switch to All fields in the Output tab, or query the dataset directly, to see it.

Scraped results

[
  {
    "videoWebUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "submittedVideoUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "input": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "cid": "7578551234567890123",
    "createTime": 1750000000,
    "createTimeISO": "2025-06-15T09:26:40.000Z",
    "text": "if @chandlerhallow doesn't get the car I'm rioting",
    "diggCount": 4213,
    "likedByAuthor": true,
    "pinnedByAuthor": false,
    "repliesToId": null,
    "replyCommentTotal": 2,
    "uid": "6812345678901234567",
    "uniqueId": "viewer_jay",
    "avatarThumbnail": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/1a2b3c4d~c5_100x100.jpeg",
    "mentions": ["chandlerhallow"],
    "isMediaOnlyComment": false,
    "replies": [
      {
        "videoWebUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
        "submittedVideoUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
        "input": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
        "cid": "7578551234567899001",
        "createTime": 1750000450,
        "createTimeISO": "2025-06-15T09:34:10.000Z",
        "text": "right?? he never gets it",
        "diggCount": 88,
        "likedByAuthor": null,
        "pinnedByAuthor": null,
        "repliesToId": "7578551234567890123",
        "replyCommentTotal": null,
        "uid": "6890001112223334445",
        "uniqueId": "commenter_two",
        "avatarThumbnail": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/9f8e7d6c~c5_100x100.jpeg",
        "mentions": [],
        "isMediaOnlyComment": false
      },
      {
        "videoWebUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
        "submittedVideoUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
        "input": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
        "cid": "7578551234567899002",
        "createTime": 1750000600,
        "createTimeISO": "2025-06-15T09:36:40.000Z",
        "text": "lmaooo facts",
        "diggCount": 12,
        "likedByAuthor": null,
        "pinnedByAuthor": null,
        "repliesToId": "7578551234567890123",
        "replyCommentTotal": null,
        "uid": "6890002223334445556",
        "uniqueId": "commenter_three",
        "avatarThumbnail": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/2b3c4d5e~c5_100x100.jpeg",
        "mentions": [],
        "isMediaOnlyComment": false
      }
    ]
  },
  {
    "videoWebUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "submittedVideoUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "input": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "cid": "7578551234567890555",
    "createTime": 1750001200,
    "createTimeISO": "2025-06-15T09:46:40.000Z",
    "text": "",
    "diggCount": 340,
    "likedByAuthor": false,
    "pinnedByAuthor": false,
    "repliesToId": null,
    "replyCommentTotal": 0,
    "uid": "6899998887776665554",
    "uniqueId": "sticker_fan",
    "avatarThumbnail": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/5d6e7f8a~c5_100x100.jpeg",
    "mentions": [],
    "isMediaOnlyComment": true,
    "replies": []
  },
  {
    "videoWebUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "submittedVideoUrl": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "input": "https://www.tiktok.com/@mrbeast/video/7578547467189374239",
    "cid": "7578551234567891777",
    "createTime": 1750002000,
    "createTimeISO": "2025-06-15T10:00:00.000Z",
    "text": "day 47 of asking for a part 2",
    "diggCount": 1027,
    "likedByAuthor": false,
    "pinnedByAuthor": true,
    "repliesToId": null,
    "replyCommentTotal": 0,
    "uid": "6877776665554443332",
    "uniqueId": "loyal_watcher",
    "avatarThumbnail": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/7f8a9b0c~c5_100x100.jpeg",
    "mentions": [],
    "isMediaOnlyComment": false,
    "replies": []
  }
]

---

How can I use the data extracted with TikTok Comments Scraper?

• 📢 Social listening and brand monitoring teams: pull every comment on videos that mention your brand or product, filter by diggCount to surface the most-liked reactions, and route the rest into a sentiment pipeline using the raw text field.
• 🤖 AI engineers and LLM developers: have an agent call the Actor with a video URL, receive structured JSON back, and pass the comment and reply text straight into a model as grounding context for a summarization or moderation task — no HTML parsing required.
• 📊 Market researchers: compare diggCount and replyCommentTotal distributions across competitors' videos over the same period to gauge relative share of engagement, and use createTimeISO to see how a conversation evolved after a launch.
• 🧭 Product teams: mine text and nested replies for repeated feature requests or complaints — replies are frequently where a viewer clarifies or argues a point the top-level comment only hints at.

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📈 How do you monitor comment activity over time?

Comment activity on a video is not static — diggCount climbs, new top-level comments appear, and replyCommentTotal grows as a thread keeps attracting responses days or weeks after the video was posted. Monitoring that activity means running the same postURLs (or the same profiles query) on a schedule and comparing each run's output against the previous one.

The fields worth diffing between runs are cid (to detect genuinely new comments, since it is unique per comment), diggCount (to track which comments are gaining traction), and replyCommentTotal (to catch a thread that has grown since the last run — which is also your signal to raise maxRepliesPerComment on the next pass if you want the newly-added replies too). A comment whose cid you have not seen before is new; a comment whose diggCount jumped sharply between two runs is the one worth surfacing to a human.

A practical setup: schedule a run against a fixed list of postURLs once a day using an Apify Schedule, export each day's dataset, and diff it against the previous day's export on cid and diggCount. Alert when a new top-level comment crosses a like threshold, or when replyCommentTotal on a tracked comment jumps — that is usually the moment a reply thread turned into something worth reading, not just counting.

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Integrate TikTok Comments Scraper and automate your workflow

TikTok Comments Scraper works with any language or tool that can send an HTTP request, through the standard Apify API.

REST API with Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "postURLs": ["https://www.tiktok.com/@mrbeast/video/7578547467189374239"],
    "commentsPerPost": 50,
    "maxRepliesPerComment": 10,
}

run = client.actor("<YOUR_USERNAME>/tiktok-comments-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["uniqueId"], "->", item["text"])

Query in, structured comment (and nested reply) JSON out — the Apify API token is the only credential this call needs; no TikTok credential is ever passed.

Scheduled monitoring and delivery

TikTok Comments Scraper has no built-in webhook or scheduling logic of its own — it uses the Apify platform's. Attach an Apify Schedule to run it automatically on a cron interval, and configure a webhook on the run to notify your own endpoint or trigger a downstream job the moment a run finishes.

---

Is it legal to scrape TikTok comments?

Scraping publicly visible TikTok comments is generally permissible: the comments returned by this Actor are the same ones any logged-out visitor can already see on the video page, and no login-gated or private content is accessed. Courts have distinguished between accessing public web content and content shielded by a login wall — see hiQ Labs, Inc. v. LinkedIn Corp., 938 F.3d 985 (9th Cir. 2019), which held that scraping publicly accessible data does not, on its own, violate the U.S. Computer Fraud and Abuse Act.

Comment text, usernames, user IDs, and avatar URLs are personal data under GDPR (EU) and CCPA (California) once they are linked to an identifiable individual, even though TikTok displays them publicly. Having a legitimate basis for collecting and storing that data — and honoring deletion or access requests where applicable — remains your responsibility as the data controller. Scraping for one-off research carries a different risk profile than scraping to train a model or build a permanent database of individuals' comment history. Consult your legal team for commercial use cases involving bulk data storage.

---

❓ Frequently asked questions

Do I need a TikTok account, login, or cookies to use TikTok Comments Scraper?

No. Every endpoint this Actor calls is publicly reachable without authentication, and the input schema has no login, API key, or cookie field. An optional session cookie can be supplied at the deployment level purely to help the reposts browser path reach a profile's Reposts tab when it is otherwise hard to load — it is not something you configure through the Actor's input.

How does TikTok Comments Scraper handle TikTok's anti-bot measures?

It reads response size, not just HTTP status, because TikTok returns HTTP 200 for both a WAF challenge page and a signed-endpoint refusal (a 0-byte body) — treating either as "0 comments, success" would be wrong. On a block, it escalates from no proxy to a datacenter proxy, then to a residential proxy with retries, and sticks with whichever tier last succeeded for the rest of that request.

Does TikTok Comments Scraper extract full nested reply threads?

Yes. Each top-level comment row carries a replies array built by paging the reply endpoint on its own cursor until your maxRepliesPerComment value is met or TikTok reports no more pages — not just the first 20 replies a single request returns. Set maxRepliesPerComment to 0 to disable reply collection for that run.

How many comments and replies does TikTok Comments Scraper return per query?

As many as commentsPerPost and maxRepliesPerComment request, up to what the video actually has and what TikTok's endpoints will serve. There is no schema-level maximum on either field — only a minimum (1 for comments, 0 for replies) — but TikTok's comment endpoint caps a single page at roughly 47–50 rows regardless of what is requested, so an odd commentsPerPost value can land slightly under target at the last page boundary.

Can I scrape comments from a creator's profile instead of individual video URLs?

Yes, using profiles. Set resultsPerPage for how many videos to pull per profile (up to a runtime ceiling of 1,000, even though the schema allows requesting as high as 1,000,000), profileScrapeSections to choose between a creator's videos and reposts, and profileSorting to order the candidate set by latest, popular, or oldest before the top resultsPerPage are kept.

What happens if I fill in both postURLs and profiles?

postURLs wins. profiles is silently ignored for that run rather than merged with it — if you need both a fixed URL list and a profile-based discovery run, submit them as two separate runs.

How do I use TikTok Comments Scraper to monitor comment activity over time?

Schedule the same postURLs (or profiles query) to run on a recurring interval using an Apify Schedule, then diff each run's export against the previous one on cid (to catch new comments) and on diggCount/replyCommentTotal (to catch comments and threads that are still gaining traction).

Does TikTok Comments Scraper work with Claude, ChatGPT, and AI agent frameworks?

It has no dedicated MCP server. It is callable as a standard HTTP endpoint through the Apify API by any agent framework that can make a REST call — an agent issues a run with a video URL or username, receives structured comment JSON back, and can pass it directly to a model as grounding context.

How does TikTok Comments Scraper compare to other TikTok comment scrapers?

Compared to clockworks/tiktok-comments-scraper, whose listing documents the same core comment fields but does not describe reply-thread depth beyond "number of replies and replies content" (checked on the Apify Store, 2026-07-25), TikTok Comments Scraper explicitly pages replies past the 20-per-request limit and flags image/sticker-only comments with isMediaOnlyComment rather than leaving them as blank text rows. Compared to epctex/tiktok-comment-scraper, whose listing prices a separate "Reply Query" charge per comment thread with only the first roughly 15 replies free (checked on the Apify Store, 2026-07-25), TikTok Comments Scraper charges a single row_result event per top-level comment regardless of how many replies are nested inside it. apidojo/tiktok-comments-scraper's listing advertises up to 10,000 comments per minute and a 99% success rate (checked on the Apify Store, 2026-07-25) — figures from that listing, not measured here.

Can I use TikTok Comments Scraper without managing proxies or TikTok credentials?

Yes. No TikTok credential is ever required, and proxy handling is automatic: the run starts with no proxy and only escalates to a datacenter, then residential, proxy when TikTok actually blocks a request. You can still supply your own proxyConfiguration if you want to control the proxy group used at the datacenter stage.

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💬 Your feedback

Found a bug, or a field missing something you need? Open an issue from the Actor's Issues tab in Apify Console — that's the fastest way to reach the maintainer, and it keeps the report attached to the exact Actor version you ran.