Steps to Scrape PitchBook in Minutes using AI

What is a PitchBook scraper?

A PitchBook scraper is a software script or tool designed to extract and collect information automatically from the PitchBook platform. This scraped data includes information like business equities, company profiles, investors information, funding rounds and deal details. This scraper parses the web pages and extracts the information by sending automated requests. This data can be used to do market research, competitor analysis, lead generation, generating databases, etc. Anyhow scraping PitchBook may violate its terms of service and conditions so ethical and legal consideration is mandatory to avoid any issues.

What are the Features of PitchBook Scraper?

Here are the main features of PitchBook scraper.

1. Automated Data Extraction
   Automated data extraction can be done easily through this scraper. This scraped data contains business profiles, funding rounds, business valuations, investment information, etc. This reduces the manual effort and enables faster access to large volumes of financial and startup intelligence data.

2. Company & Deal Profiling
   It extracts detailed information on startups, private companies, and deals, including industry, location, funding stage, revenue estimates, and deal size. This helps users build comprehensive datasets for analysis and decision-making.

3. Investor Intelligence Collection
   Since PitchBook scraper collects information about investments, funding rounds, private equity funds and their portfolios this data can be used to analyze equity funds, business valuations, investment patterns, etc between investors and companies.

4. Advanced Filtering & Targeting
   Scrapers can be configured to collect data based on filters such as geography, industry, funding stage, deal type, or date range. This ensures highly targeted datasets tailored to specific research or business needs.

5. Data Export & Integration
   Extracted data can be exported into formats like CSV, Excel, or databases, and integrated with CRM, BI tools, or analytics platforms. This enables further analysis, reporting, and seamless workflow automation.

6. Scalability & Scheduling
   PitchBook scrapers can run at scale and on schedules, enabling continuous or periodic data collection. This helps teams maintain up-to-date datasets without repeated manual work, especially for market monitoring and trend analysis.

What are the use cases of PitchBook Scraper?

Since PitchBook scraper have large volume data hence it has many use cases. Use cases are listed below

1. Market Research & Industry Analysis
   Market research and industry analysis can be easily done through this scraper. Since this scraper has a large dataset of startups, industries and funding rounds activities, it allows users to do trends analysis, market research and investment opportunities.

2. Lead Generation & Prospecting
   Sales and Lead generation teams can use this scraped data to identify potential clients, company acquisition targets and business partners. This helps businesses to get more clients and investments.

3. Investor & Fund Analysis
   Investment professionals use scraped data to study venture capital and private equity firms, their portfolios, deal frequency, and investment focus. This supports benchmarking, fundraising strategies, and understanding competitive investment behavior.

4. M&A and Deal Sourcing
   Corporate development teams use PitchBook data to identify acquisition targets, recent exits, and comparable transactions. Scraped datasets help track deal activity and surface opportunities aligned with strategic growth goals.

5. Competitive Intelligence
   Startups and enterprises analyze competitors’ funding rounds, valuations, investors, and growth signals. This helps teams understand competitors’ financial strength, strategic direction, and market positioning for better planning.

How to scrape PitchBook Data ?

1. Choose a Scraper Tool
   Use Python libraries like BeautifulSoup, Scrapy, or a no-code tool, or WebScraping HQ’s PitchBook Scraper.

2. Inspect Website Structure
   Analyze PitchBook’s HTML to locate company titles, funding prices, and SKUs.

3. Send HTTP Requests
   Access product pages using requests or APIs.

4. Extract Data
   Parse the HTML to funding prices, investment details, and equity status.

5. Store Data
   Save extracted information in CSV, Excel, or a database.

6. Automate & Schedule
   Regularly update prices using automated scripts or WebScraping HQ’s custom scheduler.

How to scrape PitchBook Data without Coding?

Here’s how to scrape PitchBook data without coding in simple steps :

1. Choose a No-Code Tool
   Use platforms like WebScraping HQ, Octoparse, or ParseHub.

2. Enter PitchBook URL
   Paste the page link you want to scrape.

3. Select Data Fields
   Click on company names, funding prices, and details you want to extract.

4. Preview & Validate Data
   Check if the tool correctly identifies the data fields.

5. Run the Scraper
   Start the extraction process automatically.

6. Export Results
   Download the collected data in Excel, CSV, or JSON formats for pricing analysis and comparison

Is it legal to scrape PitchBook?

Yes, It is legal to scrape PitchBook, There is no such law that prohibits scraping of publicly available data.