In the data-intensive world of life sciences, biotechnology, and pharmaceuticals, high-quality structured data drives everything from R&D acceleration and competitive intelligence to regulatory compliance and commercial strategy. Whether you need contact information for thousands of academic researchers, publication metadata from PubMed, monitoring of competitor websites, structured datasets from scientific literature, or custom web scraping for a specific project, Deepli provides custom scientific data extraction services tailored to biotechnology, pharmaceutical, diagnostics, nanotechnology and medical device companies.
At Deepli, we deliver custom scientific data extraction services, data engineering, web scraping, data mining, data aggregation, and related solutions tailored to biotech, pharma, CROs, CDMOs, and research organizations. Unlike generic data extraction companies, we combine software development, data engineering, scientific knowledge and digital marketing experience. The result is not simply a spreadsheet – it is structured information that can immediately support business development, market research, technology scouting, SEO, email marketing, paid advertising and scientific collaboration.
Scientific data is fragmented across PubMed, ClinicalTrials.gov, regulatory databases, PDFs, company websites, patents, and internal systems. Manual processes are slow, expensive, and prone to errors. Our services automate and structure this data while maintaining scientific accuracy and compliance.
We support use cases such as:
✓ Drug information extraction
✓ Clinical trial monitoring
✓ Competitor and market intelligence
✓ Literature mining with NLP
✓ Image and data annotation for AI/ML models
✓ Building data lakes for internal analytics
Scientific organizations generate enormous amounts of valuable information every day. Research publications, clinical trials, company websites, patents, conference proceedings, regulatory databases and institutional repositories contain knowledge that can help companies identify opportunities, understand markets and connect with the right people.
Unfortunately, this information is rarely available in a structured format. It is distributed across thousands of websites, scientific databases and documents that require automated extraction, cleaning and organization before meaningful analysis can begin.
Deepli helps organizations transform fragmented scientific information into structured datasets ready for research, business development and marketing.
Our services include:
• Scientific data extraction
• Web data extraction
• Data engineering
• Data collection
• Data aggregation
• Web scraping
• Data mining
• Publication data extraction
• Contact extraction
• Metadata extraction
• Drug information extraction
• PDF data extraction
• XML and JSON parsing
• API integrations
• ETL (Extract, Transform, Load)
• Data cleansing and normalization
• Dataset enrichment
• Website monitoring
• Natural Language Processing (NLP)
• Custom automation
Every project is tailored to your objectives rather than forcing your requirements into a predefined software platform.
Depending on the project, our workflows may incorporate data engineering, data aggregation, web scraping, Natural Language Processing (NLP) and custom automation to extract information from structured and unstructured sources. We organize the collected information into datasets suitable for downstream analysis, marketing applications, CRM systems, business intelligence platforms or customer-specific data lakes and analytics pipelines.
Beyond extracting information, we help clients organize, enrich and structure complex datasets for research and commercial applications. Depending on project requirements, our capabilities include data engineering, large-scale data aggregation, Natural Language Processing (NLP), metadata extraction, entity recognition, document parsing, duplicate removal, taxonomy mapping and preparation of datasets for business intelligence or data lake environments.
Our workflows are designed to process information from scientific literature, websites, PDFs, XML files, APIs and internal company databases while preserving data quality and consistency.
Every scientific organization stores valuable information differently. Some provide structured APIs, while others publish information only within PDF documents, HTML pages or supplementary files.
Depending on the project, we can extract information from multiple sources and combine them into a single standardized dataset.
• PubMed
• Journal websites
• Publication databanks
• Supplementary materials
• ClinicalTrials.gov
• Clinical trial registries
• Study records and publications
• Investigator information
• University websites
• Research laboratories
• Department pages
• Faculty directories
• Core facilities
• Biotechnology companies
• Pharmaceutical companies
• CROs
• CDMOs
• Medical device companies
• Diagnostic companies
• Venture-backed startups
• Company websites
• Distributor websites
• Product catalogues
• Conference websites
• Exhibitor directories
• News portals
• Government databases
• PDF files
• Excel spreadsheets
• CSV
• XML
• JSON
• Word documents
• HTML
We frequently combine several sources into a unified database to improve completeness and accuracy.
Besides scientific publications and websites, we also do drug information extraction, extract information from labels, product documentation, regulatory documents, patents, conference proceedings and image-associated metadata, depending on the objectives of the project. With us you can do data enrichment, entity extraction, metadata extraction, knowledge graphs, and various specific information extraction.
Data extraction is only the first step. Raw information usually contains duplicates, inconsistent formatting, incomplete fields and missing relationships between records.
Our data engineering workflows transform raw datasets into structured information suitable for immediate use. Full data engineering support including Extract, Transform, Load (ETL) processes. We build scalable pipelines that feed directly into your databases, CRMs, BI tools, or data lakes. Integration-ready outputs in CSV, JSON, Excel, XML, or API formats.
Typical processing includes:
• duplicate removal
• entity matching
• organization normalization
• author disambiguation
• email verification
• country standardization
• institution matching
• keyword extraction
• metadata enrichment
• relationship mapping
Where appropriate, we build automated ETL workflows that periodically collect, transform and update information without requiring manual intervention.
These workflows are particularly useful for companies that continuously monitor publications, competitors, clinical trials or emerging technologies.
Scientific Document Processing & Data Extraction:
• Advanced PDF extraction from clinical study reports, batch records, Certificates of Analysis (CoA), stability reports, and patents.
• Structured output from unstructured sources (PDFs, XML, TXT, images).
• OCR combined with AI for scanned documents.
• Drug Information Extraction from regulatory filings, labels, and literature.
Data Mining, Aggregation & Enrichment:
• Data mining to uncover patterns, trends, and insights from large datasets.
• Data aggregation from multiple sources into unified, clean datasets.
• Enrichment with metadata, company details, or publication context.
• Custom list building for academic labs, researchers, and industry contacts.
Scientific publications contain far more information than titles and abstracts.
Each publication represents relationships between researchers, laboratories, universities, technologies, diseases, funding organizations and commercial opportunities.
We help organizations transform scientific literature into actionable intelligence.
Examples include:
• identifying leading research groups
• finding emerging technologies
• tracking publication trends
• monitoring competitors' research
• discovering collaboration opportunities
• identifying Key Opinion Leaders (KOLs)
• locating laboratories working on specific techniques
• mapping researchers within niche scientific disciplines
• identifying potential licensing opportunities
• drug information extraction
Natural Language Processing (NLP) for literature mining, sentiment analysis in publications, and intelligent categorization of scientific content.
Our proprietary PubMed extraction software can retrieve publication metadata in real time, allowing organizations to build custom datasets according to specific scientific criteria.
Unlike generic literature searches, custom extraction enables much deeper analysis across thousands of publications simultaneously.
Not all valuable information is available through public APIs or structured databases. Scientific, commercial and regulatory information is often distributed across thousands of websites, product catalogues, university pages, company directories and conference websites.
Deepli develops custom web scraping solutions that automatically collect and organize publicly available information according to your requirements. Whether the goal is a one-time project or continuous monitoring, we build custom extraction workflows that reduce manual work and improve data quality. Automated, ethical collection from websites, research portals, directories, and dynamic platforms. We handle JavaScript-heavy sites, anti-bot measures, and scheduling for ongoing monitoring (e.g., new publications or trial updates). Perfect for real-time intelligence and change detection.
Typical web scraping projects include:
• Biotechnology and pharmaceutical company websites
• University and laboratory directories
• Conference exhibitor lists
• Product catalogues
• Distributor websites
• Clinical trial portals
• Patent databases
• Regulatory databases
• Scientific news websites
• Government websites
For clients requiring continuous monitoring, we also develop automated crawlers that periodically revisit websites and notify you about changes.
Examples include:
• New product launches
• New distributors
• New publications
• New funding announcements
• Personnel changes
• Company acquisitions
• Website updates
• Newly published clinical trials
Instead of manually checking hundreds or thousands of websites every week, automated monitoring provides near real-time intelligence while significantly reducing operational effort.
Finding the right people is often considerably more valuable than finding information alone.
Over the years Deepli has completed projects involving thousands of academic researchers, biotechnology executives, clinicians, CROs, CDMOs, distributors and industry experts for marketing, market research and business development projects.
Unlike generic contact databases, we assemble custom datasets specifically for your objectives.
Examples include:
• Academic researchers
• Principal Investigators (PIs)
• Postdoctoral researchers
• Professors
• Laboratory managers
• Key Opinion Leaders (KOLs)
• Clinical investigators
• Biotechnology executives
• Pharmaceutical executives
• CRO decision makers
• CDMO executives
• Medical device companies
• Diagnostic companies
• Regulatory experts
• Hospital departments
• Technology licensing offices
• University spin-outs
Depending on the project, each contact can be enriched with:
• Email addresses
• Telephone numbers
• Publications
• Scientific expertise
• Organization
• Department
• Country
• LinkedIn profile
• Website
• ORCID
• Keywords
• Research interests
• Funding information
Rather than purchasing generic databases containing outdated information, organizations receive custom-built datasets focused on a specific scientific or commercial objective.
The value of extracted data lies not in the spreadsheet itself, but in what organizations can achieve with it.
Our scientific data extraction services support a wide range of commercial, research and marketing applications.
Identify highly targeted prospects for biotechnology, pharmaceutical, diagnostics, medical device and CRO/CDMO sales teams.
Build custom outreach lists for account-based marketing (ABM), lead nurturing and product launch campaigns.
Identify emerging scientific topics, publication trends and frequently discussed technologies to develop SEO-optimized content aligned with researcher interests.
Create highly targeted audiences for LinkedIn Ads, Meta Ads and Google Ads using curated company, researcher or executive datasets.
Identify laboratories, hospitals, biotechnology companies and industry decision makers most likely to adopt new products or services.
Monitor scientific publications, patents and company activity to identify emerging technologies, licensing opportunities and innovation trends.
Find academic collaborators, laboratories and research groups working within highly specialized scientific fields.
Recruit survey participants, identify industry experts and build representative scientific audiences for qualitative and quantitative research.
Monitor competitors' publications, partnerships, product launches, acquisitions and research activities.
Identify distributors, channel partners and commercial organizations serving specific regions, technologies or therapeutic areas.
Biotechnology companies generate and consume large volumes of scientific information throughout product development.
Whether developing research tools, therapeutics, diagnostics or enabling technologies, commercial success often depends on identifying the right researchers, collaborators, customers and emerging technologies.
Deepli supports biotechnology companies by extracting structured datasets from publications, company websites, scientific databases and public information sources.
Typical biotechnology projects include:
• Publication intelligence
• Research landscape analysis
• Contact lists of academic laboratories
• Technology scouting
• Competitor monitoring
• KOL identification
• Market research data assembly & segmentation
• Product launch preparation
• Scientific lead generation
Pharmaceutical organizations require reliable data for business development, commercial operations, market access and scientific research.
Our custom data extraction services support pharmaceutical companies through:
• Drug information extraction
• Clinical trial data collection
• Investigator identification
• Healthcare organization mapping
• Competitive intelligence
• Market research
• Scientific publication monitoring
• Conference intelligence
• Partner identification
• Regulatory information collection
Rather than relying solely on commercially available databases, custom extraction enables organizations to build datasets specific to their therapeutic area, geography or strategic objectives.
Life science companies frequently operate in niche scientific markets where traditional commercial databases provide limited value.
Instead, valuable information often resides within publications, university websites, laboratory pages, conference proceedings and institutional repositories.
Our custom extraction services support:
• Life science instrument manufacturers
• Diagnostic companies
• Reagent suppliers
• Genomics companies
• Proteomics companies
• Cell biology companies
• Nanotechnology companies
• Laboratory equipment manufacturers
Applications include publication intelligence, customer identification, researcher mapping, conference targeting, distributor search and scientific marketing. Support R&D with literature mining, trial data extraction, and custom datasets for grant applications or AI model training in areas e.g. like synthetic biology or genomic engineering.
Ansell: Lead Generation Strategy for Smart Warehouse IoT Solution
A global manufacturer of protective equipment engaged us to develop a scalable lead generation strategy for a new IoT-enabled warehouse solution. We identified target accounts, built prospect databases, and prepared CRM-ready datasets to support commercial outreach.
DIP235: MedTech Investor Research & Family Office Database
A medical device company required a targeted database of family offices with a proven investment history in medical technology. We identified and qualified more than 200 MedTech-focused investors based on customized investment criteria.
University of Brazil research group: University Technology Commercialization & Licensing Support
A Brazilian academic research group sought commercial partners for a novel technology developed at the university. We refined the value proposition, created commercialization materials, identified potential licensing partners, arranged meetings, and supported business negotiations.
Bracher Services: Product Data Engineering & E-commerce API Integration
A global manufacturer of protective equipment engaged us to develop a scalable lead generation strategy for a new IoT-enabled warehouse solution. We identified target accounts, built prospect databases, and prepared CRM-ready datasets to support commercial outreach.
Texas University research group: GMP Supplier Search for Clinical Trial Manufacturing
A university research group required an FDA-compliant GMP manufacturer capable of producing an investigational drug for clinical research. We identified qualified manufacturers matching the required formulation, production capacity, and regulatory requirements.
ATG Biosynthetics: PubMed Data Extraction & Scientific Contact Discovery
A biotechnology company required author affiliations and contact information extracted from PubMed publications matching specific search criteria. We developed a scientific data extraction solution that retrieves publication metadata, affiliations, and available author contact details.
Many data extraction providers focus exclusively on collecting information. Our philosophy is different. We believe data has little value until it helps organizations make better decisions. That is why Deepli combines scientific intelligence, data engineering and digital marketing into a coherent program. Instead of delivering just spreadsheets, we help organizations transform extracted data into commercial opportunities.
This includes:
• Scientific intelligence
• Publication intelligence
• Contact databases
• Lead generation
• SEO strategy
• Email marketing
• Paid advertising audiences
• Product launch planning
• Market research
• Business development
In many cases, the extracted dataset becomes the foundation for a complete marketing or commercial strategy.
This combination of technical capability and commercial understanding allows our clients to move directly from information to execution.
Further reasons to choose Deepli:
✔ Scientific domain expertise
✔ Custom software development capabilities
✔ Data engineering and ETL workflows
✔ Web scraping and automation
✔ Real-time PubMed metadata extraction
✔ Publication intelligence
✔ Custom contact database assembly
✔ Lead generation expertise
✔ Marketing implementation (SEO, PPC, Email Marketing)
✔ Solutions tailored specifically for biotechnology, pharmaceutical, diagnostics and life sciences