Developers using Puppeteer

Puppeteer is a Node.js library that provides a high-level API to control Chrome or Chromium over the DevTools Protocol, enabling automated browser testing, web scraping, performance analysis, and PDF generation with headless or headful browser capabilities.
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Developers using Puppeteer

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Tianzhen Lin
Senior Staff Software Engineer
United States Country Flag Icon
United States
Databricks Company Logo
Databricks
17 years
Wilson Mar
AI Automation Principal
United States Country Flag Icon
United States
Snowflake Company Logo
Snowflake
20 years
Dan Gartner
Principal Engineer
United States Country Flag Icon
United States
SAP Company Logo
SAP
17 years
Taylor M
Confidential
United States Country Flag Icon
United States
Databricks Company Logo
Databricks
8 years
Simon Ilincev
Developer Lead
United Kingdom Country Flag Icon
United Kingdom
Accenture Company Logo
Accenture
2 years
Michael Anderjaska
Software Engineer
United States Country Flag Icon
United States
BNY Mellon Company Logo
BNY Mellon
6 years
Nick Tomlin
Staff Software Engineer
United Kingdom Country Flag Icon
United Kingdom
PwC Company Logo
PwC
14 years
Alexandr Tumanov
DevOps Engineer
United States Country Flag Icon
United States
Amazon Web Services Company Logo
Amazon Web Services
9 years
Nav
Senior Elastic Engineer
United Kingdom Country Flag Icon
United Kingdom
PwC Company Logo
PwC
3 years
Evan Borgstrom
Production Engineer
United States Country Flag Icon
United States
Novartis Company Logo
Novartis
8 years
Showing 10 of
40,036
results
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4,004
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Brandon Bechtel
Chief Software Engineer
United States Country Flag Icon
United States
Tech Mahindra Company Logo
Tech Mahindra
4 years
Anthony Gatlin
Manager, Data Engineer
United States Country Flag Icon
United States
Lowell Company Logo
Lowell
3 years
Sachin Jani
VP Web Platforms
India Country Flag Icon
India
UPS Company Logo
UPS
3 years
Max Schmitt
Full Stack Web Developer
Germany Country Flag Icon
Germany
Cisco Company Logo
Cisco
6 years
Luis De La Vega Lopez
Senior Web Developer
United States Country Flag Icon
United States
CodeForce 360 Company Logo
CodeForce 360
9 years
Dorian Maliszewski
Chief Software Engineer
France Country Flag Icon
France
HSBC Company Logo
HSBC
4 years
Joseph Markus
Senior Frontend Developer
United Kingdom Country Flag Icon
United Kingdom
Progressive Leasing Company Logo
Progressive Leasing
4 years
Ayush Tiwari
Head of DevOps
France Country Flag Icon
France
Onix Company Logo
Onix
3 years
Preston Richey
Senior Web Developer
United States Country Flag Icon
United States
Lockheed Martin Company Logo
Lockheed Martin
7 years
Kaveet Laxmidas
VP Engineering
United States Country Flag Icon
United States
Reinhart Company Logo
Reinhart
9 years
Showing 10 of
40,036
results
Page 1 of
4,004

Want access to the complete contacts list?

Unlock the full contact information of
40,036
developers actively working with
Puppeteer
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
Book a Demo

What would you like to do with developer-level contact data that are users of Puppeteer?

Build my target developer list or assign economic buyers leads to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

Learn more

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How to target developers using Puppeteer

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

Puppeteer

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse.

How to get alerted when new developers are working on Puppeteer technology?

Set up automated alerts to capture companies as they adopt

Puppeteer

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

Puppeteer

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

Puppeteer

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

Puppeteer

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Puppeteer?

Puppeteer is a cutting-edge technology that falls under the category of Browser Automation Tools. Developed and maintained by Google's Chrome DevTools team, it provides a powerful Node.js API that allows developers to control Chrome or Chromium browsers programmatically. Puppeteer enables precise automation of browser actions, making it invaluable for end-to-end testing, generating screenshots and PDFs of web pages, automating form submissions, and performing web scraping in a way that fully renders JavaScript-heavy applications.

Technically, Puppeteer works by communicating with browsers through the Chrome DevTools Protocol, providing a high-level API that abstracts away many complexities. It can run in headless mode (without a visible UI) for faster performance in CI/CD environments or headful mode for debugging. The library offers comprehensive capabilities including navigation control, DOM manipulation, network interception, and performance metrics collection. Puppeteer's architecture allows it to simulate real user interactions like clicking, typing, and scrolling with precise timing control, making it superior to traditional HTTP request-based testing tools that cannot evaluate rendered JavaScript.

In the market, Puppeteer has gained significant adoption among web developers, QA engineers, and data scientists. It's particularly valued in organizations that require robust testing of single-page applications or need to extract data from JavaScript-rendered content. While competing with tools like Selenium and Playwright, Puppeteer maintains advantages in Chrome/Chromium compatibility and performance. As web applications grow increasingly complex, Puppeteer's ability to automate and test modern web interfaces positions it as an essential tool in the web development ecosystem.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

How many developers use

Puppeteer
?
As of now, we have data on
40,036
developers that use
Puppeteer
.

How to find developers that use

Puppeteer
?

Visit reo.dev and use Reo.Dev's audience builder to search for developers using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of developers that use

Puppeteer
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which developers & organizations are actively using the technologies in their tech stack/developer profile. Simply search for your desired technology within our audience builder to generate a targeted list of developers—complete with their current company, seniority, years of experience, and tech stack intelligence at an account level. Book a demo with us today to get access to the latest data.