![Indeed Job Scraper avatar](https://images.apifyusercontent.com/C2ocoilOfmEDlfIB0nfOXzWTDItaGNiFwPbivYrpfto/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vMWZmc0UyUzdsTGlFeHVLNVUvdGtwUTh5RGpyUkZMbUN1SGktaWNvbkluZGVlZC5wbmc.webp)
Indeed Job Scraper
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View all Actors![Indeed Job Scraper](https://images.apifyusercontent.com/C2ocoilOfmEDlfIB0nfOXzWTDItaGNiFwPbivYrpfto/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vMWZmc0UyUzdsTGlFeHVLNVUvdGtwUTh5RGpyUkZMbUN1SGktaWNvbkluZGVlZC5wbmc.webp)
![Indeed Job Scraper](https://images.apifyusercontent.com/C2ocoilOfmEDlfIB0nfOXzWTDItaGNiFwPbivYrpfto/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vMWZmc0UyUzdsTGlFeHVLNVUvdGtwUTh5RGpyUkZMbUN1SGktaWNvbkluZGVlZC5wbmc.webp)
Indeed Job Scraper
newbs/indeed-job-scraper
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Indeed Job Scraper fetches detailed job listings from Indeed. Specify job criteria and get comprehensive job data like title, salary, location, and more. Ideal for job seekers and recruiters. Enhance your job search on Indeed with valuable insights.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "job": "developer",
9 "country": "united states",
10 "experienceLevel": "",
11 "sortType": "",
12 "city": "",
13 "numberOfResults": 2,
14 "proxy": { "useApifyProxy": True },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("newbs/indeed-job-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start