Tensorflow Scraper
Spider read tensorflow.org in 112 ms without a browser and returned 189 lines of clean markdown.
Stay organized with collectionsSave and categorize content based on your preferences.An end-to-end platform for machine learningGet started with TensorFlowTensorFlow makes it easy to create ML models that can run in any environment.Learn how to use the intuitive APIs through interactive code samples.mnist = tf.keras.datasets.mnist(x_train, y_train),(x_test, y_test) = mnist.load_data()x_train, x_test = x_train / 255.0, x_test / 255.0model = tf.keras.models.Sequential([tf.keras.layers.Flatten(input_shape=(28, 28)), tf.keras.layers.Dense(128, activation='relu'), tf.keras.layers.Dropout(0.2), tf.keras.layers.Dense(10, activation='softmax') ]) model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['accuracy']) model.fit(x_train, y_train, epochs=5) model.evaluate(x_test, y_test) ``` ## Solve real-world problems with ML Explore examples of how TensorFlow is used to advance research and build AI-powered applications. </img> TENSORFLOW.JS Catch up on the latest from the Web AI Summit Explore the latest advancements in running models client-side with speakers from Chrome, MediaPipe, Intel, Hugging Face, Microsoft, LangChain, and more. Watch nowAnalyze relational data using graph neural networksGNNs can process complex relationships between objects, making them a powerful technique for traffic forecasting, medical discovery, and more.Build recommendation systems with reinforcement learningLearn how Spotify uses the TensorFlow ecosystem to design an extendable offline simulator and train RL Agents to generate playlists.Read the latest announcements from the TensorFlow team and community.Discover production-tested tools to accelerate modeling, deployment, and other workflows.* Library ### TensorFlow.js Train and run models directly in the browser using JavaScript or Node.js.* Library ### LiteRT Deploy ML on mobile and edge devices such as Android, iOS, Raspberry Pi, and Edge TPU.The 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 tensorflow.org.
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://tensorflow.org");
// 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.tensorflow.org", {
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 tensorflow.org costs to scrape.
The capture above cost $0.000644 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 tensorflow.org.
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.