Doordash Job Scraper avatar
Doordash Job Scraper

Pricing

from $90.00 / 1,000 results

Go to Apify Store
Doordash Job Scraper

Doordash Job Scraper

The Doordash Job Scraper is an Apify Actor that efficiently extracts job listings from DoorDash's career page via keyword searches. It delivers structured data on titles, locations, departments, and more, using reliable PlaywrightCrawler for dynamic content....

Pricing

from $90.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

2

Monthly active users

13 days ago

Last modified

Share

Introduction

The Doordash Job Scraper is a powerful Apify Actor designed to extract job listings from DoorDash's career page efficiently and reliably. It allows users to search for jobs based on keywords, providing structured data on positions, locations, departments, and more. This tool is ideal for HR professionals, recruiters, and analysts seeking to gather insights into job opportunities at DoorDash.

Features

  • Keyword-Based Search: Easily filter job listings by entering specific search terms to find relevant positions.
  • Comprehensive Data Extraction: Captures detailed information including job titles, IDs, locations, departments, functions, and direct URLs.
  • High Reliability: Built on PlaywrightCrawler for robust web scraping, handling dynamic content and anti-bot measures.
  • Timestamped Results: Includes a "scrapedAt" field for tracking when data was collected.
  • JSON Output: Delivers clean, structured JSON data ready for integration into databases or analysis tools.
  • Scalable Performance: Optimized for speed and efficiency, suitable for large-scale data collection.
  • Error-Resilient: Includes built-in error handling to manage potential scraping issues gracefully.

Input Parameters

ParameterTypeRequiredDescriptionExample
searchKeywordstringYesKeywords to search for jobs on DoorDash's career page."Engineer"

Example Usage

Input

{
"searchKeyword": "Engineer"
}

Output

[
{
"jobTitle": "Software Engineer, Proactive Security",
"jobId": "3283879",
"location": "United States - Remote",
"department": "Engineering",
"function": "Security Engineering",
"jobUrl": "https://careersatdoordash.comhttps://careersatdoordash.com/jobs/software-engineer-proactive-security/7363907",
"scrapedAt": "2025-11-03T11:17:02.311Z",
"sourceUrl": "https://careersatdoordash.com/job-search/?keyword=Engineer"
}
]

Use Cases

  • HR Analytics: Analyze job trends and department growth at DoorDash for strategic hiring decisions.
  • Recruitment Research: Identify open positions matching specific skills or locations for targeted outreach.
  • Market Intelligence: Monitor job postings to understand industry demands and competitor strategies.
  • Academic Studies: Gather data for research on employment patterns in the gig economy sector.
  • Business Automation: Integrate with workflows to automate job market monitoring and reporting.
  • Career Planning: Help job seekers discover opportunities aligned with their expertise.

Installation and Usage

  1. Search for "Doordash Job Scraper" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  4. Click "Start" to begin extraction
  5. Monitor progress in the log
  6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs an array of JSON objects, each representing a scraped job listing. Key fields include:

  • jobTitle: The title of the job position.
  • jobId: A unique identifier for the job.
  • location: The geographical location or remote status.
  • department: The organizational department.
  • function: The specific function or role category.
  • jobUrl: Direct link to the job posting.
  • scrapedAt: ISO timestamp of when the data was scraped.
  • sourceUrl: The search URL used for scraping.

This structured format ensures easy parsing and integration with other tools.

Support

For custom/simplified outputs or bug reports, please contact:

We're here to help you get the most out of this Actor!