FlexJobs scraper services empowers your team with ready-to-use, high-quality job-market intelligence harvested directly from FlexJobs without the hassle of maintaining crawlers, API overheads, or clunky SaaS dashboards. Our solution delivers precisely structured datasets on remote and hybrid vacancies - including salaries, skills, and application links - so you can drive faster hiring decisions and smarter market insights.
Forget rigid APIs and one-size-fits-all dashboards. With Scrapeit’s FlexJobs data scraper Services we hand-code a crawler exclusively for your brief, run it in our secure cloud, monitor every request, and hand back clean Excel CSV, JSON, or direct-to-DB feeds on the cadence you choose.
Because everything is bespoke, you’re never limited by query caps, missing fields, or sudden interface updates - if FlexJobs tweaks its layout, we tweak the spider, not your backlog. Submit the fields you need, approve a free sample, and start receiving production-ready files in days, not weeks. Your analysts get straight to insight instead of infrastructure, while our engineers handle blocking, rotating IPs, and QA.
Our crawler exports every vacancy page on FlexJobs and outputs a structured row per posting. For every row we capture the full job title, company name plus a permanent company-profile URL, geographic location down to city and country, stated salary range or hourly rate, the long-form job description and explicit requirement bullets, publication and last-updated dates, and the exact apply link or embedded application-form identifier.
Fields are normalised, deduped, Unicode-clean, and delivered in the schema you define - so your BI tools recognise them on the first pass. Need incremental deltas instead of full reloads? We tag every record with a unique FlexJobs ID and scrape timestamp so you can stream only what’s new or changed and keep your data lake lean.
Looking for deeper intelligence? Our FlexJobs scraper can enrich each job listing with employer star ratings and text reviews, the contract-type flag (full-time, part-time, freelance, project-based), tags and taxonomy labels such as industry, skill set or seniority level, as well as perk highlights like health benefits, tuition reimbursement or home-office stipends.
We also track preferred application channels - direct email, integrated FlexJobs portal, third-party ATS or even phone contacts - plus view counts and applicant tallies where displayed. These behavioural signals reveal how supply and demand shift in real time, letting you benchmark job attractiveness, build heat maps of emerging skills, and surface under-served talent pools before your competitors do.
FlexJobs is a US-based subscription job board founded in 2007 by remote-work advocate Sara Sutton to provide a scam-free route to flexible careers. Every vacancy is hand-screened by a research team that logs over 200 hours of vetting daily, eliminating ads and junk so seekers see only genuine roles.
Today the site hosts roughly 160 000 active listings from 10 000+ employers in 50+ career paths, serving more than ten million registered users worldwide. Opportunities range from fully-remote to hybrid and “work-from-anywhere”, with filters, webinars and the ExpertApply auto-apply tool helping applicants move faster.
Because flexjobs.com charges candidates a small subscription, the platform stays ad-free and maintains its status as the #1 curated hub for quality remote work. A signature annual “Top 100 Companies for Remote Jobs” report has become a media reference for distributed-work trends.
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Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
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setup fee €799
Parsing FlexJobs gives you a real-time pulse of the remote-work economy that annual reports can’t. Side-by-side salary ranges, perks and contract types let HR teams benchmark pay objectively and negotiate with confidence. Watching competitor postings exposes which tech stacks they’re betting on and where they’re opening hubs, enabling early talent outreach or market entry.
Streaming fresh ads into your ATS, CRM or BI dashboards keeps job boards and candidate pools updated automatically, eliminating manual copy-paste. Analysts can mine the feed for skill-demand trends and forecast labour gaps before they hit mainstream boards, turning FlexJobs from a browsing site into a strategic dataset that saves hundreds of research hours each quarter.
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 is a Europe-based data-engineering studio that has spent the last 5 years crafting bespoke scrapers for HR platforms and other verticals. Its fully-managed service, used by 100+ clients and responsible for 1.5 billion pages extracted so far, delivers clean job data with SLA-backed support and ongoing maintenance.
No; when we scrape FlexJobs everything works on our side and returns public data, so you receive the dataset without logging in.
Anything from daily snapshots to real-time streams - tell us your SLA and we schedule the runs.
The default is CSV and JSON, but we can push directly to S3, BigQuery, or your SQL instance.
We respect robots.txt, throttle requests, and rotate IPs; you get compliant data minus rate-limit headaches.
Maintenance is on us - our engineers update the extractor at no extra cost so your pipeline never breaks.
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
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