We Work Remotely scraper data gives you instant, structured access to every job listing on the world’s biggest remote-job board - delivered in CSV, JSON or straight into your CRM, with zero integration headaches. With our services you stop wrestling with HTML and start recruiting sooner, using warm, fresh data that lands exactly when and where you need it.
Imagine having every We Work Remotely vacancy flowing straight into your workflow without touching a single line of code. That’s exactly what Scrapeit’s We Work remotely data scraper Services deliver. We don’t sell you a generic SaaS or fragile browser extension; we build a private, battle-tested scraper exclusively for your project. Tell us the fields, frequency and delivery method, and our engineers spin up and maintain the crawler on our infrastructure - monitoring captchas, pagination and layout shifts 24/7.
You receive ready-to-use in Excel CSV, JSON, SQL dumps or live endpoints, shielded from blocks and rate limits, while your team focuses on hiring, analytics or product, not scraping jargon. In short: no set-up, no maintenance, no hidden limits - just clean, timely job data on your terms.
Fields included by default:
Each row arrives normalised and deduplicated, complete with listing ID, crawl time-stamp and checksum so you can detect edits or deletions instantly. Need historical snapshots? We can version listings so you see how a role evolves over time - ideal for wage-growth studies or compliance archives.
Looking for deeper context parsing? Our extended tier fetches:
We also capture application channels - direct email, external ATS, in-platform apply button, phone - so you can route candidates automatically. Where visible, we pull engagement metrics like view counts or applicant volume, giving you a real-time pulse on listing popularity. All supplementary data is cross-linked to the primary job ID for effortless enrichment.
Launched in 2011, We Work Remotely (WWR, weworkremotely.com) pioneered the idea that great talent lives everywhere. Today it brands itself the world’s largest dedicated remote-jobs board, drawing over 250 000 unique visitors a month and 900 new listings from employers in 99 % of countries. Unlike multipurpose career sites, WWR sticks to one promise: only roles that can be done from anywhere, or with clear region tags.
The platform blends aggregator utility - RSS feeds, advanced search, Top Trending lists - with community DNA: a blog, podcast, remote-work reports and its own discussion hub. Employers value flat pricing, simple ATS integrations and the GeoLock feature that hides ads outside chosen countries; seekers love the Top 100 remote-first companies list and résumé review service. That pure remote focus makes WWR data gold for compensation benchmarking, market mapping and trend analysis.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Daily ingestion lets you compare advertised pay ranges across dozens of locations to spot undervalued markets or negotiate fair salaries. Continuous extractors reveal when competitors open or close roles, signalling funding rounds or product pushes. If you run your own job board or HR SaaS, automated feeds fill it with fresh remote roles without copy-paste drudgery, while your CRM can auto-export candidate records the moment a matching job appears.
Data scientists can crunch tag frequencies to forecast rising tech stacks or declining buzzwords long before annual surveys catch on, and recruiters simply save hours of tab-hopping.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
Scrapeit has spent more than 5 years reverse-engineering HR platforms and has delivered over 2 000 custom crawlers for talent-driven companies worldwide. Our in-house QA team validates every dataset, and dedicated support engineers keep your We Work Remotely scraper humming even when the site’s markup shifts.
Over half of our HR clients request WWR feeds; its remote-only focus makes it a core benchmark source.
When we scrape We Work Remotely we use only publicly visible information and respect robots.txt and rate limits; usage remains your responsibility.
WWR uses Cloudflare and region-based throttling; our rotating proxies and headless browsers bypass those hurdles safely.
A basic daily crawler is usually live within 3-5 business days, even faster for one-off dumps.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
