Upwork Scraper Without Stale Job Posts
Pricing
$9.99/month + usage
Upwork Scraper Without Stale Job Posts
Comes without any stale data like many other scrapers do. Low cost and efficient. Can filter out duplicates and posts older than 24h
5.0 (1)
Pricing
$9.99/month + usage
14
Monthly users
69
Runs succeeded
>99%
Response time
2.8 days
Last modified
2 days ago
You can access the Upwork Scraper Without Stale Job Posts 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.
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 = { "startUrls": [{ "url": "https://www.upwork.com/nx/search/jobs/?q=framer" }] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("arlusm/upwork-scraper-with-fresh-job-posts").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startUpwork Scraper Without Stale Job Posts API in Python
The Apify API client for Python is the official library that allows you to use Upwork Scraper Without Stale Job Posts API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
RentalTo use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.
Free trial
2 hours
Price
$9.99
