/v1/comments"platform": "wechat"WeChat Articles Comments API
The comments under one article.
Get the comments under any public WeChat article and get back text, likes, reply count and time, as JSON over HTTP or from your AI client over MCP. A call to the WeChat Articles Comments API costs 12 credits ($0.024 to $0.04 depending on the pack), failed calls are free, and the response has the same format as every other call. Last tested 2026-10-30.
Last updated:
limit: 100 and one call pages for you: at most 5 pages, 60 credits. It stops once it has them or the list ends; pages it does not use are not charged, and neither are pages that fail. Reading 1,000 items comes to about 600 credits, about $2.00.Daily watch: tell your AI “watch this daily” and this call runs by itself every day, sending only what is new: at most 372 credits a month, about $1.24. How to set it up
What you get from the WeChat Articles Comments API.
From a recorded answer.
A recorded call returned 6 items; here is the first, field by field. Names and text are removed from the sample; the numbers are as recorded.
Lighter for your AI: the same recorded data (6 items) is about 2,928 tokens as the platform's raw JSON and about 841 as this interface returns it, 71% fewer (measured 2026-11-06). How it was measured
| Field | In the recorded answer |
|---|---|
| url | null: WeChat Articles cannot give it |
| text | removed from the sample |
| published_at | 2026-10-10T09:19:06.000Z |
| author.label | anonymous_1 |
| metrics.likes | 364 |
| reply_count | 0 |
| content_id | null: WeChat Articles cannot give it |
| parent_id | null |
| root_id | null |
12 credits a call (≈ $0.024–$0.04): about 250 calls for $10.
WeChat Articles Comments API: request and response
curl https://api.socialtoai.com/v1/comments \ -H "Authorization: Bearer $SOCIALTOAI_API_KEY" \ -H "Idempotency-Key: $(uuidgen)" \ -H "Content-Type: application/json" \ -d '{ "platform": "wechat", "url": "https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc" }'import osimport uuidimport requestsresponse = requests.post( "https://api.socialtoai.com/v1/comments", headers={ "Authorization": f"Bearer {os.environ['SOCIALTOAI_API_KEY']}", # A new key for each request; the same one again retries it without paying twice. "Idempotency-Key": str(uuid.uuid4()), }, json={ "platform": "wechat", "url": "https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc", },)print(response.json())# Connected over MCP? Ask in plain words.Read the comments under this WeChat Articles article: https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc# Your AI calls the comments tool with:{ "platform": "wechat", "url": "https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc"}value{ "platform": "wechat", "status": "ok", "items": [ { "platform": "wechat", "id": "…", "ref": "…", "approx": [], "type": "comment", "url": null, "text": "…", "published_at": "2026-10-10T09:19:06.000Z", "author": { "label": "anonymous_1" }, "metrics": { "likes": 364 }, "reply_count": 0, "content_id": null, "parent_id": null, "root_id": null } ], "unavailable": ["url", "content_id"], "page": { "has_more": false }, "cost_credits": 12}Names and text were removed from the sample; the numbers are as recorded.
WeChat Articles Comments API parameters.
4 parameters, 2 required.
Send them as a JSON body with POST. Your key goes in the Authorization header, never in the URL.
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
| platform | string | Required | — | Always "wechat" on this page. |
| url | string | Required | — | Link to the article, pasted as it is: the long link with __biz, mid, idx and sn, the short /s/ link, or a share text with one of them in it |
| reply_of | string | Optional | — | When given, returns the replies under one comment (12 credits). |
| cursor | string | Optional | — | Pass page.cursor from the last response to get the next page. |
WeChat Articles Comments API response fields.
What WeChat Articles cannot give is marked.
| Field | Type | Meaning |
|---|---|---|
| items[].url | stringalways null | A link to the comment, where the platform has one. |
| items[].text | string | The comment itself. |
| items[].published_at | string | When it was posted, ISO 8601 in UTC. |
| items[].author.label | string | An anonymous label, stable within one response. Whoever wrote it is never named. |
| items[].metrics.likes | integer | Likes. |
| items[].reply_count | integer | How many replies it has. |
| items[].content_id | stringalways null | The item the comment is under. |
| items[].parent_id | string | The comment it replies to directly; null for a top-level comment. |
| items[].root_id | string | The top-level comment its thread hangs under. |
nullFields WeChat Articles cannot giveRead null as “WeChat Articles did not give this”, not as zero. These are always null on this call:
urlA link to the comment, where the platform has one.content_idThe item the comment is under.
Send the parameter and the call returns something else:
reply_ofthe replies under one comment12 creditsCompared with the Kuaishou Comments API, this call also gives reply count.
Every item also has platform, id, ref, approx and type; the response around the items is the same on every call. Response format
WeChat Articles Comments API: paging and billing.
5 calls per second per key, 20 after a purchase; going over is not charged. Rate limits
A failed call costs 0 credits and is never retried on its own. Error codes
“Last tested” above is the last day a real call of this interface succeeded. Each call reads from the platform, and fetched_at in the answer is when it was read. The same request sent again with the same key within 5 minutes is a replay (replayed: true): 0 credits, and the answer as first read.
Once connected over MCP, these questions use the WeChat Articles Comments API.
Read the comments under this WeChat Articles article: https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc
12 creditscomments {"platform":"wechat","url":"https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc"}
Give this to your AI.
Copy it into Claude or ChatGPT.
How to connectUse the SocialToAI MCP server (https://mcp.socialtoai.com/mcp) for this: Read the comments under this WeChat Articles article: https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bcCall the comments tool with {"platform":"wechat","url":"https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc"}. Needed: url.For many items pass limit (limit=100 is at most 5 pages) and one call pages for you; each page costs 12 credits and unused pages are not charged.Before you start, work out how many credits it will take in all and ask me; call it only after I agree.If SocialToAI is not connected yet, tell me how to connect it; never ask me to paste a key into the chat.Answer with a link to every item you used, and tell me how many credits it cost.Paste it into a chat once SocialToAI is connected over MCP. There is no key in it: Claude and ChatGPT sign in, other clients send a key in a header.
These ready-made tools call it when they run.
brand-buzzHow people feel about it on each platform, what comes up most, and the posts behind it
comment-insightsThe topics in their comments and how big each is, plus questions, buying intent and complaints
creator-cardTheir accounts on other platforms, the numbers on each, and how sure the match is
The same call on other platforms.
All platforms and prices/v1/comments{ "platform": "wechat", "url": "https://mp.weixin.qq.com/s?__biz=MjM5MjAxNDM4MA==&mid=2667038683&idx=1&sn=0422127e651acd7f6cf6ef7e1cff04bc" }12 creditsper callRead next.
What its own API allows, who can use it and what it costs, with sources.
Which platforms give comments, how many a page, at what price.
let your AI read WeChat Official Account articles
turn WeChat Official Account articles into a private RSS feed, or push them to Feishu and WeCom
Let your AI read WeChat Articles.