Name: All Upwork Job Postings - Monthly Tracker
Creator: Kaggle
License: https://opendatacommons.org/licenses/by/1-0/index.html

About this Dataset

All Upwork Job Postings - Monthly Tracker

This dataset tracks job postings on Upwork, a popular freelancing platform, providing valuable insights into current job trends, salary ranges, and demand for various skills.

It contains all job posting on Upwork

If you find this dataset helpful, don't forget to leave a upvote ❤️

Interesting Task Ideas:

Analyze the correlation between job title keywords and offered salaries.
Identify emerging job categories based on posting frequency.
Predict high-demand job roles by analyzing job posting patterns over time.
Compare average hourly rates across different countries.
Create a job recommendation engine based on current job postings.
Track changes in job market dynamics over months.
Investigate trends in the remote work landscape.
Use as a basis for predicting future job market trends.

Note:

I collect data from upwork pretty much every minute. I only plan on updating this dataset once a month.

If there's demand, I can increase the update frequency to daily.

Tables

All Upwork Jobs 2024–02–07–2024–03–24

@kaggle.asaniczka_all_jobs_on_upwork_200k_plus.all_upwork_jobs_2024_02_07_2024_03_24

21.58 MB
244,828 rows
8 columns

CREATE TABLE all_upwork_jobs_2024_02_07_2024_03_24 (
  "title" VARCHAR,
  "link" VARCHAR,
  "published_date" TIMESTAMP,
  "is_hourly" BOOLEAN,
  "hourly_low" DOUBLE,
  "hourly_high" DOUBLE,
  "budget" DOUBLE,
  "country" VARCHAR
);

All Upwork Jobs 2024–03–24–2024–05–21

@kaggle.asaniczka_all_jobs_on_upwork_200k_plus.all_upwork_jobs_2024_03_24_2024_05_21

24.53 MB
283,000 rows
8 columns

CREATE TABLE all_upwork_jobs_2024_03_24_2024_05_21 (
  "title" VARCHAR,
  "link" VARCHAR,
  "published_date" TIMESTAMP,
  "is_hourly" VARCHAR,
  "hourly_low" DOUBLE,
  "hourly_high" DOUBLE,
  "budget" DOUBLE,
  "country" VARCHAR
);

All Upwork Jobs 2024–05–21–2024–07–25

@kaggle.asaniczka_all_jobs_on_upwork_200k_plus.all_upwork_jobs_2024_05_21_2024_07_25

26.02 MB
298,500 rows
8 columns

CREATE TABLE all_upwork_jobs_2024_05_21_2024_07_25 (
  "title" VARCHAR,
  "link" VARCHAR,
  "published_date" TIMESTAMP,
  "is_hourly" VARCHAR,
  "hourly_low" DOUBLE,
  "hourly_high" DOUBLE,
  "budget" DOUBLE,
  "country" VARCHAR
);