Update generated code sample
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17
README.md
17
README.md
@@ -41,6 +41,23 @@ result = crawler.run(url="https://www.nbcnews.com/business")
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print(result) # {url, html, markdown, extracted_content, metadata}
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```
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If you don't want to install Selenium, you can use the REST API or local server.
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```python
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import requests
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data = {
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"urls": [
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"https://www.nbcnews.com/business"
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],
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"word_count_threshold": 10,
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"extraction_strategy": "NoExtractionStrategy",
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}
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response = requests.post("https://crawl4ai.com/crawl", json=data) # OR local host if your run locally
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print(response.json())
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```
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Now let's try a complex task. Below is an example of how you can execute JavaScript, filter data using keywords, and use a CSS selector to extract specific content—all in one go!
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1. Instantiate a WebCrawler object.
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47
pages/app.js
47
pages/app.js
@@ -109,6 +109,19 @@ document.getElementById("crawl-btn").addEventListener("click", () => {
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verbose: true,
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};
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// import requests
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// data = {
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// "urls": [
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// "https://www.nbcnews.com/business"
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// ],
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// "word_count_threshold": 10,
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// "extraction_strategy": "NoExtractionStrategy",
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// }
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// response = requests.post("https://crawl4ai.com/crawl", json=data) # OR local host if your run locally
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// print(response.json())
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// save api token to local storage
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localStorage.setItem("api_token", document.getElementById("token-input").value);
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@@ -131,18 +144,46 @@ document.getElementById("crawl-btn").addEventListener("click", () => {
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// REMOVE API TOKEN FROM CODE EXAMPLES
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data.extraction_strategy_args.api_token = "your_api_token";
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if (data.extraction_strategy === "NoExtractionStrategy") {
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delete data.extraction_strategy_args;
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delete data.extrac_blocks;
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}
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if (data.chunking_strategy === "RegexChunking") {
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delete data.chunking_strategy_args;
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}
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delete data.verbose;
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if (data.css_selector === "") {
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delete data.css_selector;
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}
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if (!data.bypass_cache) {
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delete data.bypass_cache;
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}
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if (!data.extract_blocks) {
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delete data.extract_blocks;
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}
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if (!data.include_raw_html) {
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delete data.include_raw_html;
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}
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document.getElementById(
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"curl-code"
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).textContent = `curl -X POST -H "Content-Type: application/json" -d '${JSON.stringify({
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...data,
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api_token: isLLMExtraction ? "your_api_token" : undefined,
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}, null, 2)}' http://localhost:8000/crawl`;
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}, null, 2)}' https://crawl4ai.com/crawl`;
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document.getElementById("python-code").textContent = `import requests\n\ndata = ${JSON.stringify(
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{ ...data, api_token: isLLMExtraction ? "your_api_token" : undefined },
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null,
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2
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)}\n\nresponse = requests.post("http://localhost:8000/crawl", json=data) # OR local host if your run locally \nprint(response.json())`;
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)}\n\nresponse = requests.post("https://crawl4ai.com/crawl", json=data) # OR local host if your run locally \nprint(response.json())`;
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document.getElementById(
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"nodejs-code"
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@@ -150,7 +191,7 @@ document.getElementById("crawl-btn").addEventListener("click", () => {
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{ ...data, api_token: isLLMExtraction ? "your_api_token" : undefined },
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null,
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2
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)};\n\naxios.post("http://localhost:8000/crawl", data) // OR local host if your run locally \n .then(response => console.log(response.data))\n .catch(error => console.error(error));`;
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)};\n\naxios.post("https://crawl4ai.com/crawl", data) // OR local host if your run locally \n .then(response => console.log(response.data))\n .catch(error => console.error(error));`;
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document.getElementById(
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"library-code"
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