Thinkingdata Scraper
Spider read thinkingdata.cn in 1.5 s without a browser and returned 312 lines of clean markdown, including sections like "Webhook Access Document", "Introduction" and "Webhook server".
* 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 formatThe same call, in code.
The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on thinkingdata.cn.
import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://thinkingdata.cn");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close();import { Spider } from "@spider-cloud/spider-client";
const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });
const result = await spider.scrapeUrl("https://www.thinkingdata.cn", {
return_format: "markdown",
});
console.log(result);Ready for volume? Get an API key →
Fields you can pull.
Spider names these from the page. The capture above came back as markdown; the same
call with return_format: "json" returns them as keys.
What thinkingdata.cn costs to scrape.
The capture above cost $0.000217 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.
- Free balance on signup
- No card required to test
- Balance never expires
Run it keyless, no account
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Start scraping thinkingdata.cn.
You already have the call. A key raises the rate limit and turns on browser rendering, proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.