Web & LinkedIn Data Scraping. Any Source. Structured. Verified. Delivered.
Tell us what data you need and where it lives. Our researchers — powered by AI — extract, clean, structure and verify data from any public web source or LinkedIn at scale. No scraper tools to configure. No raw exports to clean. Just structured, accurate data delivered to your specification.
The Data You Need Is Public. Getting It Cleanly Is the Hard Part.
Enormous amounts of commercially valuable data live across the public web and LinkedIn. The problem is not access — it is the time, technical overhead and data quality work required to turn raw web data into something actually usable for sales, research or operations.
Scraper Tools Require Technical Setup
Self-service scraping tools require technical knowledge to configure, maintain and troubleshoot. Most non-technical teams either cannot use them or produce inconsistent, poorly structured outputs that require extensive cleaning before they are usable.
Raw Scraped Data Is Always Messy
Even when a scrape runs cleanly, the output is typically unstructured, inconsistently formatted and full of duplicates, blanks and noise that need to be cleaned before the data is usable. That cleaning work is where most of the time is lost.
LinkedIn Blocks Automated Extraction
LinkedIn actively blocks automated scrapers and limits data access. Getting accurate, structured LinkedIn profile or company data at scale requires research methodology and human verification that automated tools simply cannot replicate reliably.
Manual Research Does Not Scale
Manually pulling data from websites or LinkedIn is accurate but impossibly slow at scale. Teams that rely on manual research to build datasets are trading speed for accuracy — and usually cannot do both simultaneously without significant resource investment.
Our Researchers Extract and Structure. AI Makes It Scalable.
Konnektys is a managed data extraction service — not a self-service scraper tool. You tell us what data you need and which sources to pull from. Our AI extracts the raw data at scale. Our researchers then clean, structure, deduplicate and verify every record before it is delivered to you.
The output is not a messy CSV you need to spend hours fixing. It is a clean, structured, verified dataset mapped to your exact schema — ready for immediate use in your CRM, outreach tool or analysis workflow.
FROM DATA BRIEF TO STRUCTURED DATASET IN 5 STEPS
Every Dataset Delivered Clean, Structured and Ready to Use
We do not deliver raw exports. Every dataset is cleaned, deduplicated, structured to your schema and QA’d by a human researcher — so you receive data you can act on immediately, not a spreadsheet full of noise.
Every field extracted and mapped to your schema. Columns named, ordered and formatted exactly as specified in your brief — no post-delivery reformatting required.
All duplicates identified and removed before delivery. You receive one clean record per entity — not multiple scrape hits for the same profile or page merged into noise.
A QA summary confirming field coverage, record count, identified data gaps and any source limitations encountered during extraction — full transparency on every delivery.
A field-level report showing which data points were successfully extracted, which were partially available, and which could not be sourced — so you know exactly what you have and why.
Data delivered in whatever schema your downstream tool requires — CRM field names, database column headers, spreadsheet tab structure or API-ready JSON format on request.
For scraping projects that also require contact enrichment — verified emails, direct phones or LinkedIn URLs — we can append an enrichment layer to the scraped dataset as part of the same project.
Numbers Our Clients Actually See
These are the outcomes clients consistently report after receiving web and LinkedIn data from Konnektys — clean, structured and ready to use from day one.
Where Clients Use This Service
What Teams Say After Receiving Clean Scraped Data
We needed a structured dataset of 3,000 companies from a niche industry directory — with employee counts, leadership names and website URLs. Every scraper tool we tried either blocked or delivered garbage. Konnektys delivered exactly what we specified, clean and structured, in under 48 hours. That data went straight into our CRM.
We use Konnektys quarterly to scrape LinkedIn employee data from our target account list. The data quality is consistently excellent — clean job titles, accurate headcounts, no duplicates. Our research team used to spend days on this manually. Now we have the same output in 24 hours and can redirect that time to actual analysis.
We needed competitor review data from G2 and Capterra structured by reviewer company size and role. Konnektys pulled the data, cleaned it and delivered a perfectly structured spreadsheet with everything mapped to our analysis template. The QA report they included gave us full confidence in what we were working with.
Questions We Get Asked Most
Is this a self-service platform or a managed service?
Konnektys is fully managed. You brief us on data and source. We handle extraction, cleaning, structuring and delivery. No scraper tools, APIs or technical knowledge required from your side.
Which sources can you scrape?
Any publicly accessible web source — LinkedIn profiles, company pages and employee lists, industry directories, review platforms, marketplaces, company websites, job boards, news sources and funding databases.
How do you handle LinkedIn data?
LinkedIn actively blocks automated tools. Our approach combines AI-assisted extraction with human researcher verification, allowing us to pull accurate, structured LinkedIn profile and company data that standard scrapers cannot reliably access.
What does the delivered data look like?
Cleaned, deduplicated and structured to your exact schema — with a field coverage report and QA summary included. You receive a file ready for immediate use, not a raw export to fix yourself.
How long does a scraping project take?
Standard projects are typically delivered within 24 to 72 hours depending on volume and source complexity. Larger extractions are scoped individually with a confirmed delivery date before work begins.
Can you add contact enrichment to scraped data?
Yes — for scraping projects that also need verified emails, direct phones or LinkedIn URLs, we can append an enrichment layer as part of the same project delivery.
What if some fields are unavailable from the source?
Every delivery includes a field coverage report identifying which fields were fully extracted, partially available, or could not be sourced. You always know exactly what you have and why — no unexplained blanks.
Brief our team and we will recommend the right engagement based on your use case — no commitment required.
Talk to the Team →