Doordash Email Scraper

Doordash Email Scraper

Doordash Email Scraper โ€“ Fast & accurate email extraction from Doordash listings! ๐Ÿ” Search by keywords, location & custom domains to find Doordash emails. ๐Ÿ“Š Download results in JSON, CSV, Excel. Perfect for lead gen, outreach & market research!

LEAD_GENERATIONAUTOMATIONOTHERApify

Doordash Email Scraper - Fast, Accurate & Affordable

Unlock the power of Doordash email scraping with the Doordash Email Scraper! Fast, Accurate & Affordable โšก๏ธ๐Ÿ‘Œ, this tool is designed to help you collect Doordash emails based on specified keywords, ideal for marketers, researchers, and businesses looking to expand their reach.


๐Ÿ” Key Features

  • Keyword-Based Search: Enter keywords like "john", "marketing", and more to find specific Doordash email addresses.
  • Location Filtering: Refine results by specifying the location.
  • Platform Selection: Specifically scrapes Doordash listings.
  • Custom Email Domains: Customize the email domains to be included in the search (default is @gmail.com).
  • Proxy Support: Use proxies to avoid rate-limiting issues and scrape seamlessly.

๐Ÿ“š Input Parameters

1{
2  "keywords": ["john", "marketing"],
3  "location": "New York",
4  "platform": "Doordash",
5  "customDomains": ["@gmail.com"],
6  "proxyConfiguration": {
7    "useApifyProxy": true
8  }
9}

The Doordash Email Scraper uses the following input parameters for customization:

  • keywords:

    • A list of keywords to search for (e.g., ["john", "marketing"]).
  • location:

    • Filter search results by location (optional).
  • platform:

    • Scrapes from Doordash (this is the only available option).
  • customDomains:

    • A list of custom email domains to filter the results (e.g., @gmail.com).
  • proxyConfiguration:

    • Optional setting for configuring proxy usage.

๐Ÿ“ˆ Output Structure

The output data is structured as follows:

  • keyword: The search keyword used.
  • title: The name of the restaurant, merchant, or business associated with the email address.
  • description: A description containing the extracted email address.
  • url: The link to the Doordash listing where the email was found.
  • email: The extracted email address.

Example Output JSON

1[
2  {
3    "keyword": "john",
4    "title": "John's Pizza & Grill",
5    "description": "Contact us at johnspizza@gmail.com",
6    "url": "https://www.doordash.com/store/johns-pizza",
7    "email": "johnspizza@gmail.com"
8  }
9]

๐Ÿ› ๏ธ How to Use

  1. Input Keywords and Email Domains:

    • Enter the desired keywords (e.g., ["john", "marketing"]) and custom email domains.
  2. Run the Actor:

    • Click on Run to start the email scraping process from Doordash.
  3. Enable Proxies (Optional):

    • If you need to scrape at a high volume, set up proxies to avoid rate-limiting issues.
  4. Download & Use the Data:

    • After scraping, you can download the results in formats like JSON, CSV, or Excel for outreach, marketing, or further analysis.

๐Ÿ‘ฉโ€๐ŸŽ“ Best Use Cases

  • Lead Generation: Build a list of Doordash emails for marketing and outreach.
  • Restaurant & Merchant Marketing: Identify key contacts for partnerships and promotions.
  • Market Research: Gather contact details of businesses listed on Doordash.
  • Data Aggregation: Integrate Doordash email data into your CRM or email marketing tool.

๐Ÿ’ฌ Support & Feedback

Need help with the Doordash Email Scraper or have feedback to improve it? We would love to hear from you! Contact us through our support channels for any questions or suggestions.

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool โ€” just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. Youโ€™ll be guided to input a search term and get structured results. No setup needed!