Event Exhibitor Contact Scraper Needed
Budget: ₹100 – ₹400 INR
The task is straightforward: pull every exhibitor’s contact details from a single event-listing webpage and hand me a clean spreadsheet. This is a one-time scrape; no scheduling or cron jobs required.
What I expect in the file
• Exhibitor name exactly as it appears on the page
• All contact information shown for each exhibitor—email, phone, website and any social links that are present
Delivery format
CSV or XLSX, one row per exhibitor, columns clearly labeled. Include the scraper script (Python + BeautifulSoup, Scrapy, Selenium—or a comparable stack) and a short README so I can rerun it if the page layout holds.
Quality check
I’ll spot-verify ten random rows against the live site; at least 95 % must match. No duplicate rows, no missing contacts that were visible on the page at the moment you scraped.
Handle any basic anti-scraping measures gracefully—respect robots.txt, add delays, rotate headers if needed—so the host site is unaffected.
That’s it. Once the data passes the quick audit, the job is complete and paid.
What I expect in the file
• Exhibitor name exactly as it appears on the page
• All contact information shown for each exhibitor—email, phone, website and any social links that are present
Delivery format
CSV or XLSX, one row per exhibitor, columns clearly labeled. Include the scraper script (Python + BeautifulSoup, Scrapy, Selenium—or a comparable stack) and a short README so I can rerun it if the page layout holds.
Quality check
I’ll spot-verify ten random rows against the live site; at least 95 % must match. No duplicate rows, no missing contacts that were visible on the page at the moment you scraped.
Handle any basic anti-scraping measures gracefully—respect robots.txt, add delays, rotate headers if needed—so the host site is unaffected.
That’s it. Once the data passes the quick audit, the job is complete and paid.
Related categories:
JavaScript
Python
Web Scraping
Data Mining
Scrapy
Data Extraction
BeautifulSoup
Selenium