Edjoin Jobs Scraper

Extract EdJoin job listings with clean, structured output for monitoring, research, and hiring workflows. Collect posting metadata, deadlines, salary details, and optional API description fields in one dataset. Built for fast job tracking, reporting, and automation-ready exports.

Features

• Comprehensive Job Collection — Gather EdJoin listings with title, district, location, type, salary, and posting URL.
• Description Mapping — Map available API description content into Description_html and Description_text.
• Clean Dataset Output — Removes empty values so output stays compact and analysis-friendly.
• Flexible Search Inputs — Filter by keyword, location, and start URL query settings.
• Pagination Controls — Limit collection with results_wanted and max_pages.

Use Cases

Job Market Monitoring

Track newly posted education jobs by role or location. Monitor changes in demand and posting volume over time.

Recruitment Intelligence

Build structured hiring datasets for district-level analysis. Compare posting activity, job types, and application timelines.

Career Opportunity Dashboards

Feed internal dashboards with normalized EdJoin data. Keep opportunities searchable for staff, counselors, or candidates.

Deadline and Salary Tracking

Capture key timing and compensation fields for reporting. Use the dataset to prioritize urgent applications and salary benchmarking.

---

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	https://www.edjoin.org/home/jobs	Optional EdJoin jobs URL with existing filters.
keyword	String	No	""	Search keyword such as role, district, or specialty.
location	String	No	""	Location filter such as city, county, state, or ZIP.
collectDetails	Boolean	No	false	Maps available API description fields into Description_html and Description_text.
results_wanted	Integer	No	20	Maximum number of job records to collect.
max_pages	Integer	No	10	Maximum number of pages to request.
proxyConfiguration	Object	No	Residential proxy preset	Optional proxy settings for reliability.

---

Output Data

Each dataset item includes normalized job data with empty values removed.

Field	Type	Description
posting_id	Number	Unique EdJoin posting ID.
title	String	Job title.
district_name	String	Hiring district or organization.
city	String	Job city.
county_name	String	County name.
full_county_name	String	Full county label.
state_name	String	State name.
job_type	String	Job category/type.
employment_type	String	Employment type (for example full time or part time).
salary_info	String	Salary details text.
pay_range_from	String	Lower bound of listed pay range.
pay_range_to	String	Upper bound of listed pay range.
pay_range_unit	String	Pay range unit (for example annually, hourly).
single_rate	String	Single rate value when available.
single_rate_unit	String	Unit for single rate value.
online_application	Boolean	Whether online application is available.
date_posted	String	Posting date in ISO format.
deadline	String	Application deadline in ISO format.
display_flag	String	Posting visibility mode.
number_openings	Number	Number of openings when provided.
category_id	Number	Category ID from source.
job_type_id	Number	Job type ID from source.
creation_date	String	Record creation timestamp in ISO format.
Description_html	String	Sanitized description HTML (p, ul, ol, li, br, strong, em).
Description_text	String	Plain text description mapped from available API description fields.
source_page	Number	Page number where the listing was collected.
url	String	Job posting URL.

---

Usage Examples

Basic Search

Collect a small dataset by keyword and location:

{
    "keyword": "teacher",
    "location": "California",
    "results_wanted": 20
}

Include Description Conversion

Collect listings and include Description_html and Description_text:

{
    "keyword": "special education",
    "location": "Los Angeles",
    "collectDetails": true,
    "results_wanted": 30,
    "max_pages": 3
}

Start from a Filtered URL

Run from a pre-filtered EdJoin jobs URL:

{
    "startUrl": "https://www.edjoin.org/home/jobs?keywords=math&location=California&sort=postingDate&order=desc",
    "collectDetails": true,
    "results_wanted": 50,
    "max_pages": 5
}

---

Sample Output

{
    "posting_id": 2189365,
    "title": "Mandarin Dual Language Immersion Teacher (2nd Grade) 2026-2027",
    "district_name": "El Monte City School District",
    "city": "El Monte",
    "county_name": "Los Angeles",
    "state_name": "California",
    "job_type": "Teacher - Other",
    "employment_type": "Full Time",
    "salary_info": "Salary Schedule 2 - $73,118 to $113,152+ Benefits",
    "online_application": true,
    "date_posted": "2026-02-27T00:00:00.000Z",
    "deadline": "2026-08-27T07:00:00.000Z",
    "creation_date": "2026-02-26T11:08:50.193Z",
    "Description_html": "<p>Requirements content...</p><ul><li>Credential copy</li><li>Resume</li></ul>",
    "Description_text": "Requirements content... Credential copy. Resume.",
    "source_page": 1,
    "url": "https://www.edjoin.org/Home/JobPosting/2189365"
}

---

Tips for Best Results

Start Small, Then Scale

• Begin with results_wanted between 10 and 30 for quick validation.
• Increase limits after confirming output quality for your filters.

Improve Relevance

• Use specific keywords like subject area, credential type, or district.
• Pair keyword and location to reduce noise and improve precision.

Handle Large Collection Runs

• Use proxy settings for long or high-volume runs.
• Keep max_pages aligned with your expected result volume.

---

Integrations

Connect your dataset with:

• Google Sheets — Build live job trackers.
• Airtable — Create searchable hiring databases.
• Make — Automate routing and notifications.
• Zapier — Trigger downstream tasks from fresh job data.
• Webhooks — Deliver dataset updates to custom systems.

Export Formats

• JSON — For APIs and custom apps.
• CSV — For spreadsheet workflows.
• Excel — For business reporting.
• XML — For legacy integrations.

---

Frequently Asked Questions

How many jobs can I collect in one run?

You can collect as many as available for your filters, controlled by results_wanted and max_pages.

Can I scrape from a custom filtered URL?

Yes. Provide a filtered startUrl and the actor will continue from that context.

Are empty fields removed automatically?

Yes. Empty values are omitted from dataset items to keep output clean.

What are Description_html and Description_text?

They are mapped description fields from available API description content.

Why might some jobs not include description fields?

Some postings may not expose requirements content at request time, so those fields can be absent.

Can I run this on a schedule?

Yes. You can schedule runs to keep job feeds updated automatically.

---

Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

---

Legal Notice

Use this actor only for legitimate data collection purposes and in compliance with website terms and applicable laws. You are responsible for lawful and ethical use of collected data.