Fast Scraper is a blazingly fast web scraper powered by Rust on the backend. It allows you to scrape static HTML pages extremely quickly while using only <128 MB of memory. With this scraper, you can maximize the efficiency of your credits on Apify.
Fast Scraper is a blazingly fast web scraper powered by Rust on the backend. It allows you to scrape static HTML pages extremely quickly while using only 128 MB of memory. With this scraper, you can maximize the efficiency of your credits on Apify.
Fast Scraper is blazing fast and will save you money. 🚀🚀🚀
Cheerio is powered by Node.js, meaning all the heavy lifting is done by JavaScript. JavaScript was never meant to be used as a scraper in the first place. It's similar to creating a rollercoaster game in an Excel sheet. 📉 📉 📉
I did a benchmark where I scraped with max_concurency=50, 128 MB RAM and 1000 (52MB) csfd.cz pages the whole page and it cost me 0.026 USD and ran for 60 s. So it is very cheap. That would make roughly 38 500 (2GB) scraped websites for $1.
Here is a comparison performed on 1,000 csfd.cz pages. The entire static HTML was scraped and stored in storage. With Cheerio, using 128 MB of RAM, the process timed out after 3,600 seconds because the scraper actor required more RAM. On the other hand, Fast Scraper only needed an average of 33.2 MB of RAM and 0.88% CPU usage. It's extremely light and fast. At this moment, the bottleneck is probably Docker itself.
1{ 2 "requests": [ 3 { 4 "url": "https://www.scrapethissite.com/pages/simple/" 5 }, 6 { 7 "id": "forms", 8 "url": "https://www.scrapethissite.com/pages/simple/", 9 "extract": [ 10 { 11 "field_name": "extracted_html", 12 "selector": "#countries > div > div:nth-child(4) > div:nth-child(1)", 13 "extract_type": "HTML" 14 } 15 ] 16 }, 17 { 18 "id": "hockey", 19 "url": "https://www.scrapethissite.com/pages/forms/", 20 "extract": [ 21 { 22 "field_name": "year1", 23 "selector": "#hockey > div > table > tbody > tr:nth-child(2) > td.year", 24 "extract_type": "Text" 25 }, 26 { 27 "field_name": "year2", 28 "selector": "#hockey > div > table > tbody > tr:nth-child(3) > td.year", 29 "extract_type": "Text" 30 }, 31 { 32 "field_name": "class_name", 33 "selector": "#hockey > div > table > tbody > tr:nth-child(2) > td.year", 34 "extract_type": { 35 "Attribute": "class" 36 } 37 } 38 ] 39 } 40 ], 41 "user_agent": "ApifyFastScraper/1.0", 42 "force_cloud": false, 43 "push_data_size": 500, 44 "max_concurrency": 10, 45 "max_request_retries": 3, 46 "max_request_retry_timeout_ms": 10000, 47 "request_retry_wait_ms": 5000 48}
1[ 2 { 3 "id": "hockey", 4 "url": "https://www.scrapethissite.com/pages/forms/", 5 "data": { 6 "year2": "
1990
", 7 "class_name": "year", 8 "year1": "
1990
" 9 } 10 }, 11 { 12 "id": "9a2c62e1-79b0-4081-8db8-7d8cf549d4af", 13 "url": "https://www.scrapethissite.com/pages/simple/", 14 "data": { 15 "full_html": "<!doctype html>
<html lang="en">the rest of html</html>" 16 } 17 }, 18 { 19 "id": "forms", 20 "url": "https://www.scrapethissite.com/pages/simple/", 21 "data": { 22 "extracted_html": "
<h3 class="country-name">
<i class="flag-icon flag-icon-ad"></i>
Andorra
</h3>
<div class="country-info">
<strong>Capital:</strong> <span class="country-capital">Andorra la Vella</span><br>
<strong>Population:</strong> <span class="country-population">84000</span><br>
<strong>Area (km<sup>2</sup>):</strong> <span class="country-area">468.0</span><br>
</div>
" 23 } 24 } 25]
I am always working on improving the performance of my Actors. So if you’ve got any technical feedback for Fast Scraper or simply found a bug, please create an issue on the Actor’s Issues tab in Apify Console.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!