Expert Web Scraper for Directory Data Extraction

Data Scraper Needed – Extract Company Names & Emails from Multiple Directories
Job Description

We are looking for an experienced data scraping specialist to extract company names and email addresses from multiple online exhibitor/member directories.

The data must be accurate, clean, and well-structured in Excel or Google Sheets.

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Source Links to Scrape

You will scrape data from the following directories:
1. https://members.mheda.org/mheda-member-search
2. https://s6.goeshow.com/af/holidayshowcase/2025/industry_partner_directory.cfm
3. https://icma2025.smallworldlabs.com/exhibitors
4. https://popl.co/pages/conference-exhibitor-lists

Data Fields Required

Please extract the following (where available):
• Company Name (compulsory
• Email Address (compulsory)
• Website (optional )
• Phone number (optional)
• City / Country (optional)

Emails may be visible directly on profiles or need to be extracted from linked company websites (Contact / About pages).

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Deliverables
• Excel (.xlsx) or Google Sheet
• One company per row
• Clearly labeled columns
• No duplicates
• Valid, working email addresses only
• Clean formatting (no HTML, symbols, or broken text)

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Skills Required
• Strong experience with web scraping
• Ability to handle:
• JavaScript-loaded pages
• Pagination & filters
• Familiar with tools such as:
• Python (BeautifulSoup, Selenium, Scrapy)
• Octoparse / Apify / Phantombuster (or similar)
• Knowledge of ethical & compliant scraping practices

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• Expected completion: 3–5 days
• Faster delivery is a plus

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When applying, please include:
1. Brief description of your scraping experience
2. Tools/technology you will use
3. Examples of similar scraping projects
4. Estimated turnaround time
5. Confirmation that you can extract emails accurately