Web Scraping & Data Extraction Specialist
Budget: $30.0
FIXED /
⭐ 4.99 (8)
United States
data-scraping, data-extraction, python, microsoft-excel
We are looking for an experienced Web Scraping Specialist to support ongoing B2B market research projects.
This is not a lead generation or outreach role.
Your primary responsibility will be to automate the extraction of publicly available company information from trade show exhibitor directories, manufacturer directories, industry association websites, and other public business listings.
Our goal is to quickly build structured company databases from large exhibitor lists without performing manual research.
Responsibilities
Build automated web scraping solutions for trade show exhibitor directories and public business listings.
Extract complete exhibitor lists from websites.
Collect publicly available company information, including:
Company Name
Website
Company Category
Product Categories
Location
Booth Number (when available)
Company Description
LinkedIn Company URL (when available)
Public Contact Information (when available)
Clean, organize, and structure extracted data.
Deliver completed datasets in Google Sheets, Excel, or CSV format.
Adapt scraping methods based on different website structures and technologies.
Communicate any technical limitations or website restrictions before beginning extraction.
Requirements
1+ years of experience with web scraping or data extraction.
Strong knowledge of Python for scraping and automation.
Experience with one or more of the following:
BeautifulSoup
Selenium
Playwright
Scrapy
Apify
Octoparse or similar scraping tools
Experience extracting data from complex or dynamic websites.
Ability to troubleshoot anti-bot protections and dynamic page loading when appropriate.
Strong attention to detail and data accuracy.
Fluent English.
Excellent communication skills.
Preferred Experience
Experience scraping data from:
Trade show exhibitor directories
Manufacturer directories
Industry association member directories
B2B company databases
Business listing websites
Experience working with large datasets (500–10,000+ records) is a strong plus.
Video Submission Required: To be considered, please submit a 3-minute Loom video answering the following questions:
Why are you interested in this opportunity?
What type of work environment helps you perform at your best?
What would you consider your strongest professional skills?
Where do you see yourself professionally over the next five years?
IMPORTANT: Applications submitted without a video will be automatically archived and will not be considered.
Our values:
Integrity: Do the right thing, always.
Courage: Solve problems, communicate openly, and take ownership.
Inertia: Be proactive and keep projects moving forward.
Respect: Respect your teammates, deadlines, and the quality of your work.
Pivot: Adapt quickly when websites or requirements change.
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