Upwork Job Extractor ⚡

Pricing

Pay per event

Try for free

Go to Apify Store

Upwork Job Extractor ⚡

Try for free

upwork job extractor ⚡| 0.001 | fast, cheap, cost-effective, reliable, up-to-date, and highly stable data scraping service, optimized for long-term use with the fastest crawling speeds, low container usage, and pricing to boost your upwork job scraper performance!

Pricing

Pay per event

Rating

4.7

(10)

Developer

Flash Mage

Maintained by Community

Actor stats

Bookmarked

549

Total users

100

Monthly active users

6.4 hours

Issues response

11 days ago

Last modified

Categories

Jobs

Automation

Lead generation

You can access the Upwork Job Extractor ⚡ programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "update_job_ids": [
9        "1974229435317190991",
10        "1974184115785526950",
11        "1974229291820489729",
12        "1974229162153307814",
13        "1974229143502953454",
14        "1974229140898021711",
15        "1974229039236750318",
16        "1974183702387982672",
17        "1974228964049387855",
18        "1974183649217059822",
19    ] }
20
21# Run the Actor and wait for it to finish
22run = client.actor("flash_mage/upwork").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Upwork Job Extractor ⚡| Upwork Job Scraper API in Python

The Apify API client for Python is the official library that allows you to use Upwork Job Extractor ⚡ API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Upwork Job Extractor ⚡ API in JavaScript

Upwork Job Extractor ⚡ API through CLI

Upwork Job Extractor ⚡ OpenAPI definition

Upwork Job Extractor ⚡ API

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