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Scrape Craigslist, look for phone numbers (python, ASAP, easy)

Many people post phone numbers on Craigslist with their posts. I'd like to know the percentage. I won't be calling people, but I'd like a log of the advertisements you scrape (urls) and a list of phone numbers found.

I would like this code written in Python and expect to be given the source and rights to the source. If you prefer, the code can be open-sourced and put on Github under a MIT license.

This project should meet the Craigslist TOU as it isn't display/distribution of their data- it's a statistical summary.


* license your code as above and provide it to me.

* Scrape the Los Angeles for sale by owner postings, at least 1000 posts.

* log the following, with a tab in between each entry: url, sale title, identified phone numbers (if any)


* ensure you are setting a user-agent that is identifiable to your email address. That way Craigslist can contact you if it's abusive.

* use the python-phonenumbers library, which makes scraping phone numbers very easy.

* save each page scraped so you can run it locally instead of scraping Craigslist again.

* test with a small number of pages until it is working correctly

This project should take a small number of hours- perhaps 2-4 hours. I'd love to get it done ASAP!

Skills: Python, Web Scraping

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About the Employer:
( 1 review ) Los Angeles, United States

Project ID: #4502383

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Sent you a detailed PM.

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Hi! I can provide you the solution for it and source code as described.

$515 USD in 5 days
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Check the message and contact us.

$800 USD in 8 days
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hi sir look my finish product if you interested:

$100 USD in 1 day
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I am ready to [url removed, login to view] will get code you need.

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