Hear what people say about your brand, in their own words
Word of mouth and comment insight with DataXAPI: 2 ready-made Skills on 17 platforms. The example run makes 3 calls and costs at most $0.0060; a failed call is never charged.
Who it is for
For brand, product and support teams who want the comment section and the search results without opening ten apps. Your AI pulls the comments under a post and the posts that mention a keyword, and reads them for you.
Brand and PRWant to know how the brand is talked about on each platform, and in what tone.
Product teamsRead the comments for what users really care about, to decide what the next version fixes.
Support and communitySpot the complaint that keeps coming up before it spreads.
The questions it answers
The ones a marketing team asks every week.
- What do people praise and complain about under this post?The comments page by page: text, commenter, likes, replies and time.
- What is being said about our brand on each platform?One page of posts for your keyword on every platform you pick, in one table with a platform column.
- Which complaint comes up most?Your AI groups the comments it read and counts them, and can quote each one with its likes.
Three steps
Once the skill is installed, one sentence starts it.
- 1
Show the plan first
Free, and needs no key: the most calls and the most money this run can come to.
dataxapi run comments platform=douyin id=7694940173372575014 pages=3 --plan - 2
Run it, capped at that amount
Each line is one endpoint of the example run, at its listed price. A call that fails is not charged. The run stops rather than spend more than its cap.
douyin/videos/comments/listdouyin/videos/searchweibo/posts/searchbilibili/videos/search - 3
Line everything up in one table
6 columns, the same on every platform; a column a platform does not give is empty. No call, no cost.
comments.csv · 6 columnsmentions.csv · 13 columns
What you get
Every Skill hands back one table. These are its columns, and what each one holds.
comment_idIDtextTextauthorCommenter's display namelikesLikesrepliesRepliespublished_atWhen it was postedplatformThe platforms to search, at most 5post_idID; pass it unchanged to the get endpointurlLink that opens the posttypeContent formattitleTitletextBody textauthorAuthor's display namepublished_atWhen it was publishedlikesLikescommentsCommentssharesSharesfavoritesSavesviewsViewsThe data it reads
Public data only. Each row is one endpoint, with its price per call.
GET /v1/douyin/videos/comments/listyes$0.0020Douyin video searchGET /v1/douyin/videos/searchyes$0.0200Weibo realtime searchGET /v1/weibo/posts/searchyes$0.0020Bilibili video searchGET /v1/bilibili/videos/searchyes$0.0020Facebook post commentsGET /v1/facebook/posts/comments/liston request$0.0020Instagram post commentsGET /v1/instagram/posts/comments/liston request$0.0020Kuaishou video commentsGET /v1/kuaishou/videos/comments/liston request$0.0020Reddit post commentsGET /v1/reddit/posts/comments/liston request$0.0020And 20 more endpoints for the same job on 17 platforms: each Skill's page lists its own.
What a run costs
Comments and word of mouth: What are people praising and complaining about under this post?
Worked out from the catalog's prices, with the example inputs: platform = douyin · id = 7694940173372575014 · pages = 3. You pay for the calls actually made; whether an empty result is charged is on each endpoint's page. What your AI itself costs is not counted here.
Say this to your AI
Once DataXAPI is connected, any of these works.
dataxapi-commentsGets the comments under one post page after page, as one table: text, commenter, likes, replies, time. Every page is one call charged on its own. What people praise and complain about is for your own agent to read off the table.
Not connected yet? It takes one prompt →
How teams do it today, and with DataXAPI
- Scroll comment sections and paste the telling ones into a doc.
- Search the brand name on each app, one at a time.
- Nobody counts: the loudest comment wins.
- Name the post or the keyword, and the platforms.
- Comments and mentions come back as rows your AI can count and group.
- Each page is one call at its listed price; a failed call is never charged.
Questions
From marketers, not developers.
Do I need to write code?
No. You paste one prompt into your AI to connect it, then ask in plain words. Code is there if your team wants it: every row in the table above is one GET.
What does it cost?
The example run of Comments and word of mouth makes 3 calls and costs at most $0.0060. Run it every day for 30 days and that is $0.18. There is no subscription, and a failed call is never charged.
Can it see private accounts, or data behind a login?
No. It reads what anyone can see on the platform: public posts, public counts, comments, and the ads the platforms publish in their ad libraries. It cannot post, message or sign in to an account.
Which platforms does it cover?
17 for this job: Bilibili, Douyin, Facebook, Instagram, Kuaishou, Reddit, TikTok, WeChat Channels, Weibo, X (Twitter), Xiaohongshu (RedNote), YouTube, Zhihu, LinkedIn, Pinterest, Threads, WeChat Search. Each Skill's page lists its own.
The other 5 jobs
Run it on your own question.
Sign-up takes an email and no card. A failed call is never charged.