Email ✉️ & Phone ☎️ Extractor
7 days trial then $30.00/month - No credit card required now
Email ✉️ & Phone ☎️ Extractor
7 days trial then $30.00/month - No credit card required now
Extract emails, phone numbers, and other contact information like Twitter, LinkedIn, Instagram... from websites you provide. Best for lead generation and data enrichment. Export data in structured formats and dominate your outreach game. Capture your leads almost for free, fast, and without limits.
Hi,
While scraping websites for phone numbers, I’ve noticed that many dates are being incorrectly identified as phone numbers. These dates are always in the format DD.MM.YYYY (day-month-year). Since no geography formats phone numbers in this way, this format could be safely excluded from phone number detection.
What do you think?
Yes, I agree. That’s actually a very good feedback. I will do it tomorrow morning !
I just released an update on the Actor. Let me know if it works better on your side ! If it does not, feel free to reopen this issue. And if you have more feedbacks, I am very interested in knowing them :) Have a good day
Hi Guillim! I just ran the actor, and it returned dates again. There were no phone numbers on the page, though. The website that was scraped was a company profile on northdata.de
Can you share your logs with me ? Also the exact company page from northdata.de ? I need this to reproduce your issue and correct the Actor !!!! 🙏🏻
That's the javascript I am using to detect and exclude the dates from my further steps: moment({{Phone Number}}, 'DD.MM.YYYY', true).isValid()
Noted thanks. Again, being able to reproduce your issue is required. Can you share your logs with me ? and the exact company page from northdata.de where you encounter the issue ?
Closing this after 7 days of inactivity. Feel free to reopen if necessary
Actor Metrics
190 monthly users
-
50 stars
>99% runs succeeded
3.3 hours response time
Created in Oct 2021
Modified 2 months ago