PitchBook Investor Data Extraction

@Tanmoy236

Greetings! I’m a data research and investor intelligence specialist with 9+ years of experience building clean, structured VC and startup-investor datasets from platforms like PitchBook, Crunchbase, and public financial sources. Here’s how I can help: * Extract and structure verified Venture Capital and Angel Investor records directly from PitchBook * Gather investor contacts, partner details, HQ location, emails/phones where publicly available, and firm profiles * Compile investment activity including deal counts, notable rounds, portfolio focus, and ticket-size patterns * Clean, deduplicate, and standardize records for accurate Excel filtering and segmentation * Deliver a fully organized spreadsheet with freshness checks and clearly flagged missing/private data fields I prioritize data accuracy and usability over inflated lead counts, ensuring the final dataset is outreach-ready and strategically valuable rather than scraped noise. Estimated delivery: * Initial sample: within 24 hours * Full dataset: 2–4 days depending on target volume and enrichment depth Could you confirm your preferred geography (US/global/specific regions) and approximate target volume so I can estimate the most accurate turnaround and coverage?

@ShaikhAneesa

Hi there, I understand you need a clean, export-ready investor dataset sourced from PitchBook focused specifically on Venture Capitalists and Angel Investors, with accurate contact details, investment history, and portfolio information. I am confident I can compile a structured, high-quality dataset optimized for filtering, outreach, and analysis. My approach would be to systematically extract and organize the most recent PitchBook records while filtering out Private Equity firms, duplicates, inactive profiles, and outdated entries. I would structure the dataset so each investor or firm includes key partner names, direct contact details where available, headquarters information, investment activity, notable rounds, estimated ticket sizes, and active portfolio holdings with sector or stage categorization. The data would be cleaned and normalized for consistency across all fields, ensuring easy sorting and segmentation inside Excel or Google Sheets. I would also cross-check records where necessary to improve freshness and reduce incomplete or duplicate entries. Depending on your target regions and investor scope, I would typically expect to gather several hundred highly usable records with strong coverage rather than maximizing raw volume at the expense of quality. Before I proceed, are you targeting global investors, or should the dataset focus on specific regions, industries, or investment stages? I’m ready to start immediately. Warm Regards, Aneesa.

@TanvirKhanPaple

Hi there, Project is very clear to me and I can collect verified VC and Angel Investor data from PitchBook into a clean Microsoft Excel spreadsheet. Just message me I am ready to start now and I will send a sample before start. Thank you.

@onlinejob247

As-salamu alaykum! In the world of data, my skills and services have been tried, tested, and loved by clients over the past 15 years. The scale and complexity of your project is right up my alley. I am confident that my expertise in web scraping and automation, specifically using Python (Selenium, BeautifulSoup, Scrapy, Requests), will allow me to pull the dataset you need from PitchBook accurately and quickly. I understand your need for quality over quantity. Thus, I will ensure that every record I capture is fresh, accurate, and devoid of duplicates or outdated information. My commitment to attention-to-detail in tasks such as data entry, data collection, and database updates aligns well with your requirement for clean and organized information. Transforming this information into a structured spreadsheet in CSV/Excel format will be a breeze for me given my extensive experience with Excel/Google Sheets Data Formatting. This will enable you to effortlessly filter and sort through the data for your investment analysis. To sum it up why should you choose me? My track record speaks volumes - 100% client satisfaction rate guaranteed by timely delivery of accurate and confidential work. With any task you hand to me, whether it's a one-time project like yours or ongoing support, you'll receive fast, flawless results. Let's start this project together –+GOPICKMD!

@intelliresponse

As an experienced and well-versed python web automation specialist with a focus on data extraction and mining, I am uniquely positioned to deliver exactly what you need. I have an impeccable record of delivering accurate, structured datasets from various sources, including web platforms like PitchBook. Given my extensive proficiency in scraping tools such as BeautifulSoup and Scrapy, I can collect the investor data you require with precision and efficiency. I understand that this venture capitalist and angel investor-centric project requires attention to detail – a trait I'm well-known for in my 13+ years within the field. My expertise in Python, JavaScript, and other languages gives me the versatility to meet multiple project demands while my comprehensive understanding of cloud platforms like AWS ensures maximum security and data access at all times. With all these skills combined, choosing me for this project guarantees meticulous work and a fast delivery – so let’s get started!

@chwaqas5434

Hi, I can extract clean PitchBook investor data focused only on Venture Capitalists and Angel Investors, with verified contacts, investment history, ticket size, and active portfolio details. I will remove duplicates, cross-check outdated records, and organize everything in a filter-ready spreadsheet. I can start with 100 to 200 high-quality records and deliver the first batch within 2 to 3 days, depending on PitchBook access and data availability.

@zafarfarooq612

Hello, I am an experienced data researcher with direct PitchBook access. I will deliver a clean spreadsheet of Venture Capitalists and Angel Investors (no PE firms) including contact details, investment history (deal count, ticket sizes, notable rounds), and current portfolio with sector/stage notes. I prioritize accuracy and freshness, deduplicating all records. Expected volume: 150–250 records. Please share any geographic or stage filters, and I will start immediately. Regards, Zafar

@ahmedsadek111124

Hi, I’ve worked on many similar tasks before and can share an example if needed. I also have experience with Data Entry, Data Mining, Data Processing, Data Analysis, Data Management, Data Collection, Excel and Data Extraction and would be happy to assist. Feel free to message me if you'd like to discuss the details.

@nareshk44

Hello, I can assist with compiling a clean, structured, and export-ready investor dataset focused specifically on Venture Capital and Angel Investors from PitchBook. The final spreadsheet can include: • Key partner/contact details (emails, phone numbers, HQ location where available) • Investment history, deal activity, notable rounds, and typical cheque sizes • Current portfolio companies with sector/stage information • Duplicate removal, data cleaning, and formatting for easy filtering and sorting I understand that accuracy and freshness are the priority, so I will carefully verify records and remove outdated or duplicate entries wherever possible. The total number of records will depend on your target geography, sector focus, and investment stage preferences, but I can typically deliver several hundred high-quality investor records within 24 hours. A few quick clarifications: • Which regions or countries should the investors primarily cover? • Are you targeting any specific industries or startup stages? • Do you want only active investors from the last 12–24 months? Best regards

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience. I am familiar with Data Extraction, Excel, Data Analysis, and Data Management. For this project, the key issue is accurately pulling and structuring investor data from PitchBook, focusing on Venture Capitalists and Angel Investors, so the dataset is fresh, complete, and ready for analysis. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with PitchBook Investor Data Extraction I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statisticaal programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@codefusion53

Hi, I can help collect and organize a clean investor dataset from PitchBook focused only on Venture Capitalists and Angel Investors, excluding Private Equity firms. I have experience with investor research, data mining, Excel structuring, duplicate cleanup, and data validation. For each firm or individual, I can capture key partners, available direct emails or phone numbers, headquarters details, investment history, deal count, notable rounds, typical ticket size, and current portfolio with sector or stage notes. I will prioritize accuracy and freshness over raw volume, using the most recent available PitchBook records and checking for outdated or duplicate entries before final delivery. The final file will be delivered in a structured spreadsheet with clear columns, filters, and sortable fields so you can easily analyze investors by type, sector, stage, geography, and activity level. Depending on your target region and filters, I can usually capture 100 to 300 high-quality records within a short turnaround. I would be grateful for the opportunity to support this research and will gladly accept any feedback you may have. Best, Justin

@SmartCodeDev

Hello, I can help compile a clean, structured investor dataset focused specifically on Venture Capital firms and Angel Investors using recent PitchBook data with strong attention to accuracy, deduplication, and export quality. The dataset can include partner and firm contact details, headquarters information, investment activity, notable rounds, ticket size patterns, and current portfolio holdings with sector and stage tagging for easy filtering. I will organize everything into a well structured spreadsheet with consistent formatting and validation to ensure the data is practical for outreach and analysis. The expected record count and turnaround time will depend on your target regions or sectors, but I can typically deliver a high quality dataset within a few days after confirming scope.

@mobasherreza10

Hi there, I see you need an export ready dataset from PitchBook focused on Venture Capitalists and Angel Investors, with contact details, investment history, and current portfolio, delivered in a structured spreadsheet with fresh and accurate data. I have extracted investor data from PitchBook for 5 clients, focusing on pre seed and seed stage VCs and angels in North America and Europe. For each record I capture key partners, direct emails where available, headquarters, deal count, typical ticket sizes, notable past rounds, and active portfolio with sector and stage notes. I expect to capture 150 to 250 records depending on your target geography and investment stage. I can deliver within 5 to 7 business days. Fixed price is 600 dollars. Best regards, Mobasher Reza

@Muhammadzeesha59

Hello Sir/Mam I am excited to offer my expertise in Data Analysis , Data processing to assist . With a robust background in making case studies and projects, proficiency in R, spreadsheet tools, and Tableau, Power BI , SQL , Excel , SPSS Statistics , Data Entry . I am well-prepared to support you in your Project . My ability to deliver exceptional results on time and with utmost quality . I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thank you !

@SkillCrafts

Extracting high-fidelity investor profiles from PitchBook requires a precise approach to capture LP/GP hierarchies, dry powder metrics, and investment preferences without hitting rate limits or exporting corrupted nested data. Having executed several proprietary VC/PE database extractions using tailored API requests and automated scripts, I know exactly how to map PitchBook's schema to deliver structured datasets ready for immediate outreach or market mapping. I will ensure your dataset is meticulously filtered for your target sectors, fund sizes, and geographies right from the start. To execute this, I will utilize a customized Python script (leveraging Pandas and Requests/Selenium based on API access) to extract target investor profiles, key personnel contacts, past investments, and preferred deal stages. I will then implement a robust deduplication and data-cleaning pipeline to resolve nested formatting issues in fields like fund sizes and geographic focus, aligning all entries with your schema. Finally, the unstructured outputs will be normalized and delivered in an organized CSV or Excel format, complete with verified email patterns and LinkedIn profiles where available. To tailor this, do you have specific filtering criteria, such as target industries, geographic regions, or minimum Assets Under Management (AUM) for these investors? Also, do you require direct contact details for the fund's managing partners, or is the focus solely on corporate-level investment profiles? Let’s connect via chat to align on your precise data requirements, and we can hop on a brief call if that makes it easier to map out your target database schema.

@carlosd178

Hello, After carefully reviewing your project, I fully understand that you need a clean, export-ready investor dataset from PitchBook focused only on Venture Capitalists and Angel Investors. I have experience with investor data collection, data extraction, spreadsheet structuring, deduplication, and accuracy-focused research. I bring strong expertise in Data Collection, Data Extraction, Excel, Data Mining, Data Processing, Data Analysis, and Data Management. For this project, I would collect verified investor profiles, key contacts, emails/phone where available, headquarters, investment history, ticket size, notable rounds, and active portfolio details, then clean and structure everything in a filterable spreadsheet. I can prioritize accuracy over volume, remove duplicate/outdated records, and cross-check important details where needed. Regarding your questions: the expected record count depends on PitchBook access and target region, but I can usually prepare an initial clean batch of 100–300 relevant records first, then scale further if required. I have one quick question: • Do you already have PitchBook access, or should I work only from exported/source data you provide? Best regards, Carlos

@RubinTh

As an actuarial graduate with extensive experience in data analysis, data entry, data extraction, and Excel, I am uniquely positioned to deliver what you need: a clean, export-ready dataset from PitchBook that focuses exclusively on Venture Capitalists and Angel Investors. Leveraging my skills in Python and R as well, I can provide you with highly accurate information in a structured format that's easy to filter and sort. In addition to crunching the numbers, my actuarial background means I possess a deep understanding of probability, uncertainty, and business logic. This unique aspect enables me to offer more than just data; I can also provide actionable insights and assist in making sound business decisions based on the extracted dataset. Punctuality is paramount to me, knowing how important it is for you to receive these details. Thus, I commit to a streamlined process where I leverage my knowledge and expertise to ensure high-quality output matched with quick turnarounds. In essence, by choosing me for your project, you will be employing someone who not only understands the math but also knows how it fits into your business picture. Invest in me today for accurate and efficient high-quality work!

@Georgeoustar

Hi, I’m experienced in investment research, structured data collection, and startup ecosystem analysis with strong familiarity using platforms like PitchBook, Crunchbase, and venture databases. I can compile a clean, well organized investor dataset focused specifically on Venture Capital firms and Angel Investors while filtering out Private Equity records as requested. I previously handled investor research projects involving fund profiling, portfolio analysis, deal history extraction, and contact enrichment for startup outreach and fundraising campaigns. My work included verifying partner information, removing duplicate and outdated entries, organizing investment activity by stage and sector, and preparing export ready spreadsheets optimized for filtering and CRM import workflows. For your project, I will focus on accuracy and freshness by validating recent PitchBook entries and cross checking inconsistent records where necessary. The final spreadsheet will include contact details, investment history, ticket size patterns, portfolio summaries, and structured categorization for easy sorting and outreach planning. Best regards, George