GET thinkingdata.cn HTTP 2001.5 s15.6 KB$0.000217 captured Aug 7, 2026

thinkingdata.cn, as data

One API turns any thinkingdata.cn page into markdown, structured JSON, its link graph or a screenshot, and crawls the whole site the same way. The panel shows the real response we captured.

target profile from the capture

Render mode: Plain HTTP, no browser needed
Response: HTTP 200 in 1.5 s
Page size: 15.6 KB of markdown, 312 lines
Fields: Title, Content, Date, Source
Captured: Aug 7, 2026

Start scraping thinkingdata.cn See the code

Free balance on signup, no card. This thinkingdata.cn page cost $0.000217 to fetch.

response 200 · 1.5 s · 15.6 KB

* Format definition of input and output parameters* Request and result integrity test example# # Webhook Access Document# # IntroductionWebhook of the TE operation module defines an API whose purpose is to connect any message or message-like system on the downstream client.Clients can quickly support a built-in trigger channel of the non-TE operation module through docking development of relatively lightweight REST API.Refer to the following figure for the specific call link:1. First, the TE operation module will read event data and user data from Thinking Analytics (TA) to calculate the number of target audiences.2. According to the target audience and message content, the TE operation module will send a webhook request to one of your own HTTP webhook servers.3. After your own webhook server has received the request, you can convert the format, join other business data, enter the asynchronous processing queue and perform other tasks, and finally call any other internal or external message/message-like systems. Examples of systems that may be called:1. Recovery of receipt event data* If data is pushed to the game mail system, then the mail opening event is reported in the mail of the game app, so that TA can get the push receipt event for subsequent analysis of conversion effect.# # Webhook server**To dock with Webhook of the TE operation module, you need to develop an HTTP Endpoint Server. See below for applicable API definition.**## # Format definition of input and output parameters### # Webhook RequestThe input parameters of the server are generated by the TE operation module. The POST method is used, and the Content-Type is set to application/json. request_body is a JSONArray, which supports sending multiple messages in one batch. Each message represents a message with a specific content sent to a user.Examples of parameters are as follows:`// request input parameter format

POST /scrape · docs.thinkingdata.cn/ta-manual/v4.1/en/user_guide/engage/integration_engage/webhook_connection.md · markdown · Showing 19 of 312 lines · captured Aug 7, 2026

What Spider does on thinkingdata.cn

Same key, five endpoints. The numbers under a cell were measured on this page.

/scrape

Page to markdown

Clean text for RAG and LLM context, boilerplate removed. The lane that runs without a key.

1.5 s · $0.000217

/fetch

Page to JSON

Spider reads the page and names the fields. Pass your own schema when you need exact keys.

/crawl

Whole site

Follows thinkingdata.cn's own links, respects robots, streams pages as they land.

/links

Link graph

Every internal and external URL on a page, before you decide what to fetch.

/screenshot

Rendered capture

Real Chromium, full-page PNG. The same call also returns the rendered HTML.

The call behind the panel

This request produced the response above. Paste it with your key and you get the same bytes.

request scrape.sh

curl -X POST https://api.spider.cloud/scrape \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://docs.thinkingdata.cn/ta-manual/v4.1/en/user_guide/engage/integration_engage/webhook_connection.html", "return_format": "markdown"}'

from spider import Spider

app = Spider()
params = {"return_format": "markdown"}
page = app.scrape_url("https://docs.thinkingdata.cn/ta-manual/v4.1/en/user_guide/engage/integration_engage/webhook_connection.html", params=params)
print(page[0]["content"])

import { Spider } from "@spider-cloud/spider-client";

const app = new Spider();
const [page] = await app.scrapeUrl("https://docs.thinkingdata.cn/ta-manual/v4.1/en/user_guide/engage/integration_engage/webhook_connection.html", {
  return_format: "markdown",
});
console.log(page.content);

plain request · no browser, no selectors

What thinkingdata.cn costs

Multiplied from the measured 15.6 KB page. Estimates round to the cent.

cost measured

This page, once 15.6 KB over HTTP, measured $0.000217

This page, daily for a month 30 fetches at the measured price ≈ $0.006516

1,000 pages this size 15.2 MB at the measured price ≈ $0.22

10,000 pages this size 151.9 MB at the measured price ≈ $2.17

1 GB of transfer costs $1, plus $0.001 per CPU minute, and failed requests cost $0. Crawling daily? The Unlimited plan is a flat monthly rate.

Point this at the rest of thinkingdata.cn.

The capture above took 1.5 s and cost $0.000217. The same call takes any URL on thinkingdata.cn.

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