Toptal is a screened network: no public gig board, no published freelancer rates. We collect what the site does publish, clean it and deliver it on your schedule.
Data arrives in whatever your team already uses: CSV, JSON, XLSX, a direct database load, or an API endpoint we host. Schedules run hourly, daily, weekly or monthly, and a single snapshot is fine when that is all the question needs.
Every run is validated before it reaches you - schema checks, a row count comparison against the previous run, deduplication on canonical URL, and an alert when a field starts coming back empty. Toptal reworks its templates like any large site does; when that happens we repair the extractor and the repair is included, not raised as a change request.
Scope is fixed up front: which page types, which verticals, which fields, which geographies, and how often. You get a sample before the full run, so nothing is a surprise at invoice time.
A Toptal collection is defined page type by page type. Each public template carries a different slice.
Because slugs are readable and stable, the same page is trackable across runs. We record state as well as content: which skill hubs appear and disappear, how the taxonomy grows, how geographic coverage shifts, how availability lines change. For most buyers the deltas beat a single snapshot.
Anti-bot work is part of the service. Toptal sits behind a commercial edge network, and a request that does not present itself as a real browser is refused outright. Sustained scraping needs proxy rotation, browser-like sessions, CAPTCHA solving where it appears, pacing that does not hammer the origin, and adaptive crawling when a template changes. We run that layer and keep it running. Your team does not maintain it and there is no separate proxy bill. We promise no perfection - protections change and a run can degrade - so we monitor, re-run and tell you when a field stops resolving. We do not sign in, and we collect nothing that sits behind an account.
Personal data, stated plainly. A public Toptal talent page describes a named individual. We do not build person-level records and we do not produce ranked talent lists for recruitment. Names, photographs and any contact route are excluded by default. What we deliver is aggregated or structural: counts by skill, city and vertical, taxonomy exports, page inventories and content corpora. Many of the people described are in the EU, so the GDPR applies to any person-level use of this material; that is a question for your own counsel, and our default is exclusion rather than a checkbox. If a lawful, documented purpose genuinely requires person-level fields, it has to be agreed in writing before we build anything.
Toptal is a screened freelance talent network covering software engineering, design, finance and management consulting, product and project management, marketing, sales and operations. It is not an open talent marketplace. Clients do not post a brief and collect bids, and freelancers do not compete on price in public. Toptal screens applicants, then its own matchers put a shortlist in front of a client, so the commercial layer - who was matched with whom, at what hourly rate, on what terms - sits entirely behind an account.
That closed model decides what a Toptal scraper can and cannot collect, and it is worth being blunt about it before anything else. There is no public board of open client projects to browse. The sections that read like a job board are recruiting landing pages aimed at freelancers who want to join, organised by skill, and the developer jobs directory is an index of those category pages rather than a list of live engagements. Toptal also publishes its own corporate vacancies in a small careers section; those are roles at the company itself, not client work.
What Toptal does publish, and publishes generously, is a large public talent library plus a deep set of content hubs. Public profile pages, skill hubs across every vertical, city and country pages, hiring guides, interview question sets, job description templates, case studies, an insights section and a long-running blog are all readable without signing in. That is the material a scrape of Toptal can legitimately return, and it is enough to answer real questions about contractor supply and the skills taxonomy of a talent marketplace.
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Pages extracted
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€199 / one-time
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setup fee €499
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Requests for Toptal data cluster around a few concrete jobs.
Talent supply mapping. Skill hubs and location pages describe where a screened network claims contractor supply and in which disciplines. Aggregated by skill and country, that is a usable read on a remote engineering and design talent pool that is otherwise invisible.
Skills taxonomy work. Toptal maintains a long published skill list per vertical. Recruiters, HR tech teams and marketplace operators use a taxonomy like this to normalise their own tags, find categories they do not cover, and watch which technologies get promoted to a page of their own.
Recruitment market intelligence. Which skills a talent marketplace invests pages in, how quickly that set changes and which verticals it pushes are signals about where it sees demand. That is competitor hiring research at the category level, not the person level.
Content and SEO benchmarking. Hiring guides, interview question sets, job description templates and case studies form a large, well-structured corpus. Teams building competing content use it to size a gap before commissioning anything.
One caution, stated here rather than buried: if the project is hourly rate benchmarking, this source will not carry it. Toptal publishes no rate against any named freelancer, and we will point at sources that do carry price signals instead.
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 managed web scraping agency. We build the crawlers, run them on our own infrastructure and hand over clean, validated data on your schedule. There is nothing for your team to deploy, no proxy estate to manage and no scraper to babysit.
We scope honestly. When a source does not publish what a buyer is hoping for, we say so before any money changes hands, and we point at a source that does.
No. Toptal publishes no public data API for buyers. The obvious guess at an API entry point simply redirects to a marketing page about hiring API developers, and the site robots file disallows its internal API paths. Whatever a client or a freelancer uses inside the platform requires an account. Public collection therefore has to come from rendered pages, which is exactly what our Toptal scraper does - and we do not sign in to reach anything else.
No, because they are not published. Toptal does not show an hourly rate against a named freelancer anywhere on its public site, and there are no public bids or project budgets because the network does not run open bidding. Any pricing language on the site is general marketing copy, not a rate card per person. If hourly rate benchmarking is the actual goal, tell us and we will scope sources that do carry observable price signals rather than sell you a Toptal rates dataset that does not exist.
Public talent pages under the resume path, skill hub pages across every vertical, city and country pages, and the content hubs - blog, case studies, insights, interview questions, job description templates, community and services. Profile pages carry role, location, member-since date, skills, bio, portfolio entries, years of experience per skill, dated work history and certifications. Skill hubs carry positioning copy, related skills, talent cards and an average client rating with a review count. Counts across these sections move as the site publishes, so we re-read the sitemaps on every run instead of working from a fixed list.
Names, photographs and contact routes are excluded by default, and we do not build person-level records or ranked talent lists for recruitment. Our output is aggregated or structural. Many of the individuals described on these pages are in the EU, so the GDPR governs person-level use; that is a matter for your own legal counsel, and we set the default to exclusion. We collect only pages that anyone can open without an account, we never sign in, and we have no partnership or affiliation with Toptal. Responsibility for how the delivered data is used remains with you.
Proxy rotation, browser-like sessions, CAPTCHA solving where it appears, request pacing and adaptive crawling are all included, and your team maintains none of it. We make no perfection claim: edge protections change, and when a run degrades we monitor it, re-run it and tell you. Delivery is CSV, JSON, XLSX, a database load or a hosted API, on an hourly, daily, weekly or monthly schedule, with schema validation and row count checks on every run.
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.
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