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The more concurrent threads you have, the more requests you can have active in parallel, and the faster you can scrape. So in this guide we will walk you through the best way to send concurrent requests with Node-Fetch: <ul> <li><a href="#make-concurrent-requests-using-promiseall--bottleneck">Make Concurrent Requests Using Promise.all() & Bottleneck</a></li> <li><a href="#adding-concurrency-to-scrapeops-scrapers-adding-concurrency-to-scrapeops-scrapers">Adding Concurrency To ScrapeOps Scrapers</a></li> </ul> Let's begin...   <div style="background-color:#f6fafe;border-radius:2px;border:1px solid #f0f0f3;padding:1.5rem;padding-bottom:2.5rem;padding-top:2.5rem;text-align:center;margin-top:2rem"><h3>Need help scraping the web?</h3>Then check out <a href="https://scrapeops.io/?utm_campaign=nodejs-web-scraping-playbook&utm_source=article&utm_medium=organic&utm_content=node-fetch-concurrent-threads" style="color:#000;text-decoration:none;border-bottom:2px dashed #0d53d7;font-weight:600">ScrapeOps</a>, the complete toolkit for web scraping.<div style="display:flex;flex-direction:row;flex-wrap:wrap;justify-content:center"><div><div><img style="height:80px;width:80px" src="https://assets-scrapeops.nyc3.digitaloceanspaces.com/Icons/scrapeops-proxy-aggregator-icon.svg" alt="ScrapeOps Proxy Manager"></div><div><a href="https://scrapeops.io/proxy-aggregator/?utm_campaign=nodejs-web-scraping-playbook&utm_source=article&utm_medium=organic&utm_content=node-fetch-concurrent-threads" style="color:#000;text-decoration:none;font-weight:600">Proxy Manager</a></div></div><div style="margin-left:3.5rem;margin-right:3.5rem"><div><img style="height:80px;width:80px" src="https://assets-scrapeops.nyc3.digitaloceanspaces.com/Icons/scrapeops-monitoring-icon.svg" alt="ScrapeOps Monitoring"></div><div><a href="https://scrapeops.io/monitoring-scheduling/?utm_campaign=nodejs-web-scraping-playbook&utm_source=article&utm_medium=organic&utm_content=node-fetch-concurrent-threads" style="color:#000;text-decoration:none;font-weight:600">Scraper Monitoring</a></div></div><div><div><img style="height:80px;width:80px" src="https://assets-scrapeops.nyc3.digitaloceanspaces.com/Icons/scrapeops-scheduler-icon.svg" alt="ScrapeOps Job Scheduling"></div><div><a href="https://scrapeops.io/monitoring-scheduling?utm_campaign=nodejs-web-scraping-playbook&utm_source=article&utm_medium=organic&utm_content=node-fetch-concurrent-threads" style="color:#000;text-decoration:none;font-weight:600">Job Scheduling</a></div></div></div></div> <hr> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="make-concurrent-requests-using-promiseall--bottleneck">Make Concurrent Requests Using Promise.all() & Bottleneck<a href="#make-concurrent-requests-using-promiseall--bottleneck" class="hash-link" aria-label="Direct link to Make Concurrent Requests Using Promise.all() & Bottleneck" title="Direct link to Make Concurrent Requests Using Promise.all() & Bottleneck"></a></h2> The first approach to making concurrent requests with Node-Fetch is to use Javascript's <a href="https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Promise/all" target="_blank" rel="noopener noreferrer">Promise.all() functionality</a> and the <a href="https://www.npmjs.com/package/bottleneck" target="_blank" rel="noopener noreferrer">bottleneck package</a> to control the concurrency. Here is an example: <div class="language-javascript codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#d6deeb;--prism-background-color:#011627"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-javascript codeBlock_bY9V thin-scrollbar" style="color:#d6deeb;background-color:#011627"><code class="codeBlockLines_e6Vv"> import fetch from 'node-fetch'; import cheerio from 'cheerio'; import Bottleneck from 'bottleneck'; const NUM_THREADS = 5; // Example list of URLs to scrape const list_of_urls = [ 'http://quotes.toscrape.com/page/1/', 'http://quotes.toscrape.com/page/2/', 'http://quotes.toscrape.com/page/3/', 'http://quotes.toscrape.com/page/4/', 'http://quotes.toscrape.com/page/5/' ]; const output_data_list = []; const limiter = new Bottleneck({ maxConcurrent: NUM_THREADS }); async function scrape_page(url) { try { const response = await fetch(url); const html = await response.text() if (response.status === 200) { const $ = cheerio.load(html); const title = $('h1').text(); // Add scraped data to "output_data_list" array output_data_list.push({ 'title': title }); } } catch (error) { console.log('Error', error); } } (async () => { await Promise.all( list_of_urls.map(url => limiter.schedule(() => scrape_page(url)) ) ); console.log(output_data_list); })(); </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div> Here we: <ol> <li> We import the necessary libraries: <code>node-fetch</code>, <code>cheerio</code>, and <code>Bottleneck</code>. <code>fetch</code> method from <code>node-fetch</code> is used for making HTTP requests, <code>cheerio</code> is used for parsing the HTML response, and <code>Bottleneck</code> is used for limiting the number of concurrent threads. </li> <li> We define the <code>NUM_THREADS</code> constant, which represents the maximum number of concurrent threads we want to allow for scraping. </li> <li> We create an array <code>list_of_urls</code> containing the URLs we want to scrape. </li> <li> We define an empty array <code>output_data_list</code> to store the scraped data. In your code, you could have this data being saved to a queue. </li> <li> We create an instance of Bottleneck called limiter with maxConcurrent option set to <code>NUM_THREADS</code>. This ensures that at most <code>NUM_THREADS</code> requests are executed concurrently. </li> <li> We define the <code>scrape_page</code> function, which takes a <code>url</code> as an argument and performs the scraping for that url. Inside the function: </li> </ol> <ul> <li>We call <code>fetch</code> method from <code>node-fetch</code> to send an HTTP <code>GET</code> request to the URL and obtain the response. Then we load <code>html</code> response text using <code>response.text</code> method.</li> <li>If the response's status code is <code>200</code> (indicating a successful response), we load the response into cheerio using <code>cheerio.load(html)</code>.</li> <li>We extract the <code>title</code> from the HTML using <code>$('h1').text()</code> and add it to the <code>output_data_list</code> array as an object with a 'title' property.</li> </ul> <ol start="6"> <li>We use <code>Promise.all()</code> to map each URL in <code>list_of_urls</code> to a call to <code>limiter.schedule()</code>. This schedules the <code>scrape_page</code> function for each URL, enforcing the concurrency limit set by limiter.</li> <li><code>limiter.schedule()</code> returns a promise for each URL, and <code>Promise.all()</code> waits for all the promises to resolve. Once all the promises are resolved, we reach the await line, and execution continues to the next line.</li> <li>We log the <code>output_data_list</code> to the console, which contains the scraped data from all the URLs.</li> </ol> Overall, the code sets a concurrency limit using <code>Bottleneck</code> and utilizes <code>node-fetch</code> and <code>cheerio</code> for making HTTP requests and parsing the HTML response, respectively. The scraping is done concurrently for multiple URLs, and the scraped data is collected in an array. Using this approach we can significantly increase the speed at which we can make requests with Node-Fetch library. <hr> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="adding-concurrency-to-scrapeops-scrapers">Adding Concurrency To ScrapeOps Scrapers<a href="#adding-concurrency-to-scrapeops-scrapers" class="hash-link" aria-label="Direct link to Adding Concurrency To ScrapeOps Scrapers" title="Direct link to Adding Concurrency To ScrapeOps Scrapers"></a></h2> The following is an example sending requests to the <a href="/proxy-aggregator/">ScrapeOps Proxy API Aggregator</a>, which enables you to use all the available threads your proxy plan allows you to make. Just change the <code>NUM_THREADS</code> value to the number of concurrent threads your proxy plan allows. <div class="language-javascript codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#d6deeb;--prism-background-color:#011627"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-javascript codeBlock_bY9V thin-scrollbar" style="color:#d6deeb;background-color:#011627"><code class="codeBlockLines_e6Vv"> import fetch from 'node-fetch'; import cheerio from 'cheerio'; import Bottleneck from 'bottleneck'; import querystring from 'querystring'; const NUM_THREADS = 5; const SCRAPEOPS_API_KEY = 'YOUR_API_KEY'; // Replace with your actual API key function get_scrapeops_url(url) { const payload = { api_key: SCRAPEOPS_API_KEY, url: url }; const proxy_url = `https://proxy.scrapeops.io/v1/?${querystring.stringify(payload)}`; return proxy_url; } // Example list of URLs to scrape const list_of_urls = [ 'http://quotes.toscrape.com/page/1/', 'http://quotes.toscrape.com/page/2/', 'http://quotes.toscrape.com/page/3/', 'http://quotes.toscrape.com/page/4/', 'http://quotes.toscrape.com/page/5/' ]; const output_data_list = []; const limiter = new Bottleneck({ maxConcurrent: NUM_THREADS }); async function scrape_page(url) { try { const response = await fetch(get_scrapeops_url(url)); const html = await response.text() if (response.status === 200) { const $ = cheerio.load(html); const title = $('h1').text(); // Add scraped data to "output_data_list" array output_data_list.push({ 'title': title }); } } catch (error) { console.log('Error', error); } } (async () => { await Promise.all( list_of_urls.map(url => limiter.schedule(() => scrape_page(url)) ) ); console.log(output_data_list); })(); </code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></button></div></div></div> You can get your own <a href="https://scrapeops.io/app/register/proxy/" target="_blank" rel="noopener noreferrer">free API key with 1,000 free requests by signing up here</a>. <hr> <h2 class="anchor anchorWithStickyNavbar_LWe7" id="more-web-scraping-tutorials">More Web Scraping Tutorials<a href="#more-web-scraping-tutorials" class="hash-link" aria-label="Direct link to More Web Scraping Tutorials" title="Direct link to More Web Scraping Tutorials"></a></h2> So that's how you can configure <a href="https://github.com/node-fetch/node-fetch" target="_blank" rel="noopener noreferrer">Node-Fetch</a> to send requests concurrently. If you would like to learn more about Web Scraping, then be sure to check out <a href="/web-scraping-playbook/">The Web Scraping Playbook</a>. Or check out one of our more in-depth guides: <ul> <li><a href="/web-scraping-playbook/web-scraping-without-getting-blocked/">How to Scrape The Web Without Getting Blocked Guide</a></li> <li><a href="https://scrapeops.io/blog/the-state-of-web-scraping-2022/" target="_blank" rel="noopener noreferrer">The State of Web Scraping 2020</a></li> <li><a href="/web-scraping-playbook/ethics-of-web-scraping/">The Ethics of Web Scraping</a></li> </ul></div><div class="col col--2"><div class="tableOfContents_bqdL thin-scrollbar"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#make-concurrent-requests-using-promiseall--bottleneck" class="table-of-contents__link toc-highlight">Make Concurrent Requests Using Promise.all() & Bottleneck</a></li><li><a href="#adding-concurrency-to-scrapeops-scrapers" class="table-of-contents__link toc-highlight">Adding Concurrency To ScrapeOps Scrapers</a></li><li><a href="#more-web-scraping-tutorials" class="table-of-contents__link toc-highlight">More Web Scraping Tutorials</a></li></ul></div></div></div></main></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Resources</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/intro/">Documentation</a></li><li class="footer__item"><a href="https://scrapeops.io/proxy-providers/comparison/" target="_blank" rel="noopener noreferrer" class="footer__link-item">Proxy Comparison Tool</a></li><li class="footer__item"><a class="footer__link-item" href="/blog/">Blog</a></li><li class="footer__item"><a href="https://github.com/ScrapeOps" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub</a></li></ul></div><div class="col footer__col"><div class="footer__title">Web Scraping Guides</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/web-scraping-playbook/">Web Scraping Playbook</a></li><li class="footer__item"><a class="footer__link-item" href="/python-web-scraping-playbook/">Python Web Scraping Playbook</a></li><li class="footer__item"><a class="footer__link-item" href="/nodejs-web-scraping-playbook/">NodeJs Web Scraping Playbook</a></li><li class="footer__item"><a class="footer__link-item" href="/python-scrapy-playbook/">Python Scrapy Playbook</a></li><li class="footer__item"><a class="footer__link-item" href="/selenium-web-scraping-playbook/">Selenium Web Scraping Playbook</a></li><li class="footer__item"><a class="footer__link-item" href="/puppeteer-web-scraping-playbook/">Puppeteer Web Scraping Playbook</a></li><li class="footer__item"><a class="footer__link-item" href="/playwright-web-scraping-playbook/">Playwright Web Scraping Playbook</a></li></ul></div><div class="col footer__col"><div class="footer__title">Company</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/affiliate-program/">Affiliate Program</a></li><li class="footer__item"><a class="footer__link-item" href="/privacy-policy/">Privacy Policy</a></li><li class="footer__item"><a class="footer__link-item" href="/terms-of-service/">Terms Of Service</a></li><li class="footer__item"><a class="footer__link-item" href="/data-protection-policy/">Data Protection Policy</a></li><li class="footer__item"><a class="footer__link-item" href="/data-processing-agreement/">Data Processing Agreement</a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 ScrapeOps.</div></div></div></footer></div> </body> </html>