Upwork Jobs Scraper

hipersoft/upwork-scraper

Scrape Upwork job listings by keyword: title, description, hourly range or fixed budget, experience level, duration, workload, skills and posting date. Filter by type, level and location. Export to JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.002

Last rebuilt

Nov 4, 2026

Overview

Upwork Jobs Scraper extracts public freelance job listings from Upwork by keyword: title, description, hourly range or fixed budget, experience level, project length, workload, skills and posting date. Filter by job type, level, length and client location, then export to JSON, CSV or Excel.

Upwork Jobs Scraper input — searches, job type, level and filters

What does Upwork Jobs Scraper do?

It runs your Upwork job searches and returns one clean row per job. Run several searches at once; a job found by two searches is delivered and charged once. A test run collected 1,168 unique jobs across five searches in about two minutes.

Client details aren't included. This actor returns the job listing itself, not client spend, reviews or payment verification.

What data can you scrape from Upwork?

Data	Fields
Job	`jobId`, `title`, `description`, `url`, `publishedAt`
Pay	`jobType`, `hourlyMin`, `hourlyMax`, `fixedBudget`
Requirements	`experienceLevel`, `skills`, `duration`, `workload`
Context	`searchQuery`, `collectedAt`

Use cases

Freelancers and agencies: catch new jobs that match your skills, on a schedule.
Rate research: see what clients offer for a skill.
Skill demand: track which tools and skills clients ask for.
Lead generation: spot project demand in your niche.
Job alerts: send new listings to Slack, Sheets or email with integrations.

How to scrape Upwork jobs

Open Upwork Jobs Scraper.
Add your job searches.
Pick any filters.
Click Start.
Export to JSON, CSV, Excel or XML.

Input

{
  "queries": ["react developer"],
  "sort": "recency",
  "jobType": "0",
  "experienceLevel": ["2", "3"],
  "workload": "full_time",
  "minHourlyRate": 30,
  "maxAgeHours": 720,
  "maxResultsPerSearch": 40
}

Field	Description
`queries`	What to search for.
`maxResultsPerSearch`	Jobs per search (default 100).
`sort`	`recency` (newest) or `relevance`.
`jobType`	`any`, `0` (hourly) or `1` (fixed price).
`experienceLevel`	`1` entry, `2` intermediate, `3` expert.
`duration`	`week`, `month`, `semester` or `ongoing`.
`workload`	`as_needed`, `part_time` or `full_time`.
`locations`	Client regions or countries.
`clientHires`	`0`, `1-9` or `10-`.
`minFixedBudget`	Drop fixed-price jobs below this (USD).
`minHourlyRate`	Drop hourly jobs whose top rate is below this (USD).
`maxAgeHours`	Only jobs posted in the last N hours.

Output

A real row from a test run, with the description shortened.

Upwork Jobs Scraper output example — jobs with pay, level and link

{
  "jobId": "2118006378163258089",
  "title": "Seeking a Full-Stack Developer to Develop an AI-Based SaaS Product",
  "url": "https://www.upwork.com/jobs/~022118006378163258089",
  "jobType": "hourly",
  "hourlyMin": 56,
  "hourlyMax": 68,
  "fixedBudget": null,
  "experienceLevel": "Expert",
  "duration": "More than 6 months",
  "workload": "Full time",
  "skills": [
    "Next.js",
    "Node.js",
    "AI Development",
    "API Integration",
    "Web Development",
    "PostgreSQL",
    "AI Model Integration",
    "Full-Stack Development",
    "SaaS Development"
  ],
  "description": "We are looking for an experienced Full-Stack Developer to build an AI-powered SaaS invoici…",
  "publishedAt": "2026-11-04T15:45:47.099Z",
  "searchQuery": "react",
  "collectedAt": "2026-11-04T21:06:16.882481+00:00"
}

Output schema

Field	Type	Description
`jobId`	string	Upwork job ID.
`title`	string	Job title.
`url`	string (URL)	Link to the job.
`jobType`	string	`hourly` or `fixed`.
`hourlyMin` / `hourlyMax`	number	Hourly range in USD, when the client set one.
`fixedBudget`	number	Fixed budget in USD, when set.
`experienceLevel`	string	Entry level, Intermediate or Expert.
`duration`	string	Project length.
`workload`	string	Hours per week. Not set on fixed-price jobs.
`skills`	array	Skills on the listing.
`description`	string	Job description.
`publishedAt`	string (ISO date)	When it was posted.
`searchQuery`	string	The search that found it.
`collectedAt`	string (ISO date)	When the row was collected.

Need more freelance and job data?

Google Jobs Scraper: jobs from many boards at once.
ATS Jobs Scraper: company career sites.

FAQ

How much does it cost? You pay per job delivered, shown on the Pricing tab. Set a maximum cost per run and it stops cleanly at that limit, storing only what you paid for.

How many jobs can I get? That depends on the search. Popular searches returned 400 or more in testing, and narrower ones fewer. Run several searches for broader coverage.

Can I get only new jobs? Yes. Schedule a run with sort Newest and a Posted within window.

Can I connect this to other tools? Yes, through integrations on the Apify platform: Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API and webhooks.

Is it legal to scrape Upwork? It returns publicly listed jobs. You are responsible for how you use them, including Upwork's terms and privacy law.

Notes

Independent tool, not affiliated with Upwork. Returns only public data; you are responsible for how you use it.

Feedback

How did it go? Good or bad, a review helps other users decide and tells us what to improve. Something broken or missing? Open an issue and we'll look at it.

Input

Field	Type	Description
`queries` Job searches	array	What to search for, one per line.
`maxResultsPerSearch` Max jobs per search	integer	How many jobs to collect per search. Default: `100`
`sort` Sort	string · relevance, recency	Result order. Default: `"recency"`
`jobType` Job type	string · any, 0, 1	Hourly or fixed price. Default: `"any"`
`experienceLevel` Experience level	array	Empty keeps all.
`duration` Project length	string · any, week, month, semester, ongoing	How long the project runs. Default: `"any"`
`workload` Workload	string · any, as_needed, part_time, full_time	Hours per week. Default: `"any"`
`locations` Client location	array	Regions or countries, such as Americas, Europe, Singapore.
`clientHires` Client hires	string · any, 0, 1-9, 10-	How many freelancers the client has hired. Default: `"any"`
`minFixedBudget` Minimum fixed budget	integer	Drop fixed-price jobs below this amount (USD).
`minHourlyRate` Minimum hourly rate	integer	Drop hourly jobs whose top rate is below this (USD).
`maxAgeHours` Posted within (hours)	integer	Only jobs posted in the last N hours. Use with sort Newest.
`proxyConfiguration` Proxy	object	Optional.

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~upwork-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "queries": [
    "python developer"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/upwork-scraper").call(run_input={
    "queries": [
        "python developer"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/upwork-scraper').call({
  "queries": [
    "python developer"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped One job listing delivered.	$0.002	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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