About NexGenData
NexGenData builds structured public-data tools for market research, compliance, lead generation, startup intelligence, and the kind of undercovered regional sources that mainstream data aggregators tend to overlook. The portfolio centres on official registries, regulatory filings, enforcement actions, financial markets data, and the practical contact and company enrichment workflows that B2B teams rely on every day. Each tool turns a fragmented or hard-to-access public source into clean, exportable records that an analyst, researcher, or operator can put to work without writing a single line of scraping code.
The project exists because most off-the-shelf data products fall into one of two camps. Either they are generalised platforms that charge enterprise pricing for a thin slice of what a researcher actually needs, or they are technically capable APIs that assume the buyer already operates a scraping stack, manages proxies, handles anti-bot defences, and maintains parsers as source sites change. NexGenData sits in the middle: purpose-built tools that solve one source or one workflow well, priced per result, with no infrastructure for the user to maintain.
Who builds these tools
NexGenData is built by an analyst with more than a decade of experience in web intelligence, threat assessment, and OSINT-style research — work that depends on monitoring open sources at scale, recognising patterns across noisy data, and producing reporting that decision-makers can act on. That background shapes the entire product line. The questions that drive each tool are the kind an analyst already asks: where is this entity registered, who are its officers, what enforcement actions have been filed against it, what does the underlying primary source actually say, and how do I get that information into a spreadsheet or a downstream system without manual collection.
That perspective is meaningful because scrapers built by analysts who understand the use case behave differently from scrapers built as generic infrastructure plays. Field coverage reflects what investigators and researchers actually need, not just what is easy to parse. Edge cases — name variants, multi-jurisdiction filings, status changes, language and script differences in Asian registries — are treated as first-class concerns rather than afterthoughts. Each tool in the catalogue exists because there is observed demand for it from researchers, compliance teams, investors, sales operators, and product builders, not because the source happened to be technically interesting to scrape.
What we focus on
The first focus area is undercovered regional and institutional data. A substantial share of the NexGenData catalogue targets sources that Western aggregators either ignore, paywall heavily, or expose only through enterprise contracts. That includes APAC markets such as China A-shares and sector data via Eastmoney, Hong Kong property records, Singapore ACRA company filings, and India MCA corporate data; European registries including the UK Companies House officer and PSC datasets and France’s Pappers; and Australian regulatory sources covering ASIC enforcement and company information. These are the registries and exchanges where due diligence, market mapping, and competitive intelligence work actually has to be done, and they are consistently the hardest for non-specialist teams to extract cleanly.
The second focus area is compliance, regulatory, and enforcement data. Tools such as the ASIC Enforcement Tracker, sanctions and watchlist monitors, and corporate filing scrapers are built with the assumption that the people using them are making real decisions — onboarding a counterparty, vetting a hire, screening an investment, or maintaining an ongoing compliance posture. Reliability and recency are not optional in that context, and the tools are designed and maintained with that standard in mind.
The third focus area is practical workflow data for commercial teams. Contact extraction, company enrichment, lead-generation pipelines, and B2B prospecting tools sit alongside the registry and compliance work because the same underlying skills apply: identify the authoritative source, extract the right fields, normalise the output, and deliver it in a format that drops straight into a CRM, a spreadsheet, or an internal pipeline. The goal across all three categories is the same — turn a public source that is hard to use into structured data that is easy to use.
How the tools work
Every tool in the catalogue is published as an Apify actor. Users run them on demand from the Apify console, the API, or one of the available SDKs, and results come back as CSV, JSON, Excel, or whichever export format fits the downstream workflow. There are no subscriptions, no seat licences, and no infrastructure to stand up — the proxy rotation, anti-bot handling, retries, and parsing are all handled inside the actor itself.
Pricing follows Apify’s pay-per-event model. Each tool publishes a transparent per-record or per-event cost, so a user can estimate the price of a job before running it and pay only for the results that are actually delivered. That structure suits both one-off research jobs and recurring monitoring workflows, and it removes the commitment overhead that usually comes with enterprise data subscriptions.
How to get in touch
Contact details, support channels, and issue reporting are available on each tool’s individual Apify listing, which is the most direct route for questions tied to a specific actor or dataset. For broader enquiries — custom builds, bulk arrangements, or new source requests — the same listings include a contact path. The NexGenData blog serves as the publishing surface for new tool releases, workflow guides, source explainers, and category updates, and is the best place to follow what is being added to the catalogue.
To browse the full catalogue of tools, visit the NexGenData actor library on Apify. To read the latest guides, source breakdowns, and workflow walkthroughs, head to the NexGenData blog.