Craigslist Page Scraper

Extract every information out of a Craiglist page, email included

Table of Contents

Scrape the emails and al the data from Craigslist posts from all over the world

Craigslist is one of the oldest and biggest websites on the Internet. Despite having passed its prime since the rise of web 2.0, it still is a reference for many people.

This automation for Craigslist will scrape every piece of public information out of a list of Craigslist pages: From all the written data to potential email addresses.

This Craigslist scraper can take hundreds of ads as an input and extract the data to a Excel or Google Spreadsheet. If you need to turn Craigslist into an API and automate things furthermore, use directly our Json API.

1. Create your account.

Free trial for 14 days. Then switch to a Free plan or become a customer.


* no credit card required

2. Add this automation to your account.

3. Click on Configure me!

You'll now see the 3 configuration dots blinking. Click on them.

4. Let Phantombuster know the Craigslist pages to scrape.

Create a spreadsheet on Google Spreadsheet.

Fill it with Craigslist pages URLs. One URL per row, all in column A.

Make this spreadsheet public so Phantombuster can access it.

Paste the spreadsheet's URL to Phantombuster.

Start your automation!

You're all set. Just click "launch" to get your automation started!

Set this automation on repeat

Once your automation's configuration is ready, you can schedule repetitive launches. This will allow you to avoid rate limits, scrape more data and get your automated workflows to spread over days, weeks, even months.

To do so, go to your dashboard and look for your automation's “Settings” button.

Then, select a frequency:

And Save those new settings at the bottom of the page.


This API will output CSV and/or JSON containing the following fields:

  • title (Ads title)
  • postDate (Publishing date)
  • email (Authors' email address)
  • imgUrl (Ads' images URL)
  • content (Text content of the ad)
  • notices (Additional notices)
  • category (Category)
  • pageUrl (URL of the Ad)
  • query (The URL you gave as an input)
  • timestamp (Date of extraction of the above info)

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