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