# How to get TikTok comments with Python 2 endpoints do it: TikTok video search → TikTok video comments. The worked example below is 11 calls and costs $0.0220 in all; a failed call is not charged. You get the comments under the TikTok videos on a topic: text, commenter, likes, reply count and time, 50 to a page. Every step below has its Python beside cURL, TypeScript and the command line. ## Step by step ### Step 1: TikTok video search Search TikTok videos for your keyword. Each result has its `id` and its comment count in `metrics.comments`; the next step takes the `id`. Already have the video's link? Skip this step: the next one takes a link as `url` too. ([TikTok video search](https://dataxapi.com/apis/tiktok/videos/search/), $0.0020 / a call) cURL ```bash curl -G "https://api.dataxapi.com/v1/tiktok/videos/search" \ --data-urlencode "query=space station" \ -H "Authorization: Bearer $DATAXAPI_API_KEY" ``` Python ```python from dataxapi import DataXAPI dx = DataXAPI() # reads DATAXAPI_API_KEY result = dx.tiktok.videos.search(query="space station") print(result["data"]["items"]) ``` TypeScript ```typescript import { DataXAPI } from "@dataxapi/sdk"; const dx = new DataXAPI(); // reads DATAXAPI_API_KEY const result = await dx.tiktok.videos.search({ query: "space station" }); console.log(result.data.items); ``` CLI ```bash dataxapi call tiktok.videos.search 'query=space station' ``` Recorded response: From a response recorded 2026-10-12 19:17 UTC. Names, text and IDs are examples, and so are the links: none is the recorded one (the page shows no one's personal data); the figures are as recorded. Long lists are cut. The request ID, cursor and balance are made up. ```jsonc { "code": "ok", "request_id": "eecdbf3f-64ce-4b11-b396-ee190d7ff728", "data": { "items": [ { "id": "7566364515678793552", "url": "https://www.tiktok.com/@trail_and_lens/video/7566364515678793552", "type": "video", "text": "My honest take on space station, a month in.", "lang": "en", "published_at": "2026-10-11T23:17:34.000Z", "author": { "id": "6279025233109159764", "username": "trail_and_lens", "name": "Maya Chen", "avatar_url": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/fff322a0d982cccf1e82~c5_100x100.jpeg", "followers": 92601 }, "metrics": { "likes": 353, "comments": 11, "shares": 19, "favorites": 40, "views": 7561 }, "hashtags": [ "weekendvibes", "gearreview", // … 2 more ], "mentions": [] }, // … 29 more ] }, "page": { "next_cursor": "c1.bGY_kn5Dxsgl6MN3VXHyMcLAdlxPxQw-FwjswIlE", "cursor_expires_at": "2026-10-12T20:17:24.000Z", "has_more": true, "returned": 30 }, "warnings": [], "meta": { "capability": "tiktok.videos.search", "result_status": "complete", "fetched_at": "2026-10-12T19:17:24.000Z", "cached": false, "replayed": false, "unavailable": { "title": "platform", "images": "capability", "author.verified": "capability", "metrics.reposts": "capability", "mentions.username": "capability", "mentions.name": "capability", "post_id": "platform", "parent_id": "platform", "root_id": "platform", "is_pinned": "capability" }, "billing": { "amount": "0.002", "currency": "USD", "balance_after": "9.998" } } } ``` ### Step 2: TikTok video comments Get the comments of each video by its `id`. In Python, loop: pass `page.next_cursor` as `cursor` until `page.has_more` is false, and add `data.items` to your table on each pass. ([TikTok video comments](https://dataxapi.com/apis/tiktok/videos/comments/list/), $0.0020 / a call) cURL ```bash curl -G "https://api.dataxapi.com/v1/tiktok/videos/comments/list" \ --data-urlencode "id=7665840565958872333" \ -H "Authorization: Bearer $DATAXAPI_API_KEY" ``` Python ```python from dataxapi import DataXAPI dx = DataXAPI() # reads DATAXAPI_API_KEY result = dx.tiktok.videos.comments.list(id="7665840565958872333") print(result["data"]["items"]) ``` TypeScript ```typescript import { DataXAPI } from "@dataxapi/sdk"; const dx = new DataXAPI(); // reads DATAXAPI_API_KEY const result = await dx.tiktok.videos.comments.list({ id: "7665840565958872333" }); console.log(result.data.items); ``` CLI ```bash dataxapi call tiktok.videos.comments.list id=7665840565958872333 ``` Recorded response: From a response recorded 2026-10-12 18:45 UTC. Names, text and IDs are examples, and so are the links: none is the recorded one (the page shows no one's personal data); the figures are as recorded. Long lists are cut. The request ID, cursor and balance are made up. ```jsonc { "code": "ok", "request_id": "49a9388e-860b-401b-9189-91392b4dbe4c", "data": { "items": [ { "id": "7249404573671997643", "text": "Finally someone explains it properly.", "published_at": "2026-10-08T14:20:19.000Z", "author": { "id": "6405221235864634600", "username": "northside_coffee", "name": "Leo Park", "avatar_url": "https://p16-sign-va.tiktokcdn.com/tos-maliva-avt-0068/b53b29284ec746c5795e~c5_100x100.jpeg" }, "metrics": { "likes": 1430, "comments": 37 }, "post_id": "7314577132464284710", "parent_id": null, "root_id": null }, // … 49 more ] }, "page": { "next_cursor": "c1.ILIjF_oJ0LYoN_N-5Pz5rAlsEbq5IITvnA7EL4Hr", "cursor_expires_at": "2026-10-12T19:45:47.000Z", "has_more": true, "returned": 50 }, "warnings": [], "meta": { "capability": "tiktok.videos.comments.list", "result_status": "complete", "fetched_at": "2026-10-12T18:45:47.000Z", "cached": false, "replayed": false, "unavailable": { "url": "platform" }, "billing": { "amount": "0.002", "currency": "USD", "balance_after": "9.998" } } } ``` ## What the example costs one page of search results, then two pages of comments under each of the first 5 videos | Endpoint | Calls | Price | Subtotal | | --- | --- | --- | --- | | [TikTok video search](https://dataxapi.com/apis/tiktok/videos/search/) | 1 | $0.0020 | $0.0020 | | [TikTok video comments](https://dataxapi.com/apis/tiktok/videos/comments/list/) | 10 | $0.0020 | $0.0200 | | Total | 11 | | $0.0220 | Prices are the prices in force when this page was built. A failed call, and an object that does not exist, cost nothing. ## In your AI (MCP) Connect DataXAPI to your AI client once. Then say what you want; the agent finds these endpoints, checks the price and calls them on your balance. Say: Use DataXAPI to search TikTok for “space station”, get two pages of comments under each of the top 5 videos, and put them in one table. What the agent sends to the call tool: ```json { "capability": "tiktok.videos.search", "query": "space station", "idempotency_key": "" } ``` [About the MCP server](https://dataxapi.com/mcp/) ## With a Skill The Comments and word of mouth Skill does this job as a ready-made task, under a spending cap. “What are people praising and complaining about under this post?” Its example run: 3 calls, at most $0.0060. [Comments and word of mouth](https://dataxapi.com/skills/comments/) ## Good to know - Comments come 50 a page and the search 30 a page; a cursor works for an hour. - Replies to a comment are not in this list. A comment's `metrics.comments` is its reply count, and the comment replies endpoint gets the replies by the comment's ID and its video's ID. - A comment has no link of its own: `url` is not returned. - A video that does not exist cannot be told from a video without comments: both come back as an empty page, which is charged. ## Endpoints - [TikTok video search](https://dataxapi.com/apis/tiktok/videos/search/) - [TikTok video comments](https://dataxapi.com/apis/tiktok/videos/comments/list/) ## More about TikTok - [TikTok API](https://dataxapi.com/apis/tiktok/) - [How to get a TikTok video transcript](https://dataxapi.com/guides/tiktok-video-transcript/) - [How to search TikTok Shop products and read their reviews](https://dataxapi.com/guides/tiktok-shop-product-reviews/) - [Can ChatGPT read TikTok?](https://dataxapi.com/answers/can-chatgpt-read-tiktok/) --- Catalog revision c48ce454ae6c4c65. [HTML version](https://dataxapi.com/guides/tiktok-comments-python/)