Poslovi Infostud Scraper - Serbian Job Board
Pricing
from $1.20 / 1,000 result scrapeds
Poslovi Infostud Scraper - Serbian Job Board
Scrape job listings from Poslovi Infostud (poslovi.infostud.com), Serbia's largest job board with 3,700+ active postings. Search by keyword, location, and category. Extract job titles, companies, salaries, locations, descriptions, and requirements. No login or cookies needed.
Pricing
from $1.20 / 1,000 result scrapeds
Rating
0.0
(0)
Developer
Studio Amba
Maintained by CommunityActor stats
0
Bookmarked
1
Total users
0
Monthly active users
19 days ago
Last modified
Categories
Share
What does Poslovi Infostud Scraper do?
Poslovi Infostud Scraper extracts job listings from poslovi.infostud.com, Serbia's largest and most popular job board with over 3,700 active job postings. The scraper collects structured data including job titles, companies, salaries, locations, descriptions, requirements, and more.
Run it on the Apify platform to get API access, scheduled runs, webhook integrations, and automatic proxy rotation -- all without writing a single line of code.
No login or cookies required. The scraper works with publicly available job listings only.
How to scrape Poslovi Infostud data
Scraping job listings from Poslovi Infostud is straightforward:
- Go to the Poslovi Infostud Scraper page on Apify Store.
- Click Try for free to open the actor in the Apify Console.
- Enter your search query (e.g. "developer", "programer", "inzenjer") and optionally a location (e.g. "Beograd", "Novi Sad").
- Set Max Results to control how many listings to scrape.
- Enable Include Full Details if you need full job descriptions and requirements (slower, visits each listing page).
- Click Start and wait for the results.
- Download your data in JSON, CSV, Excel, or any other supported format.
Tips for better results
- Use Serbian keywords for broader results (e.g. "programer" instead of "developer").
- Leave location empty to search across all of Serbia.
- Set a lower
maxResults(10-50) for quick test runs.
Input
| Field | Type | Description | Default |
|---|---|---|---|
searchQuery | String | Job search keyword | posao |
location | String | City name (e.g. Beograd, Novi Sad) | All Serbia |
maxResults | Integer | Maximum job listings to scrape | 100 |
includeDetails | Boolean | Visit detail pages for full descriptions | false |
proxyConfiguration | Object | Proxy settings | Residential |
Example input
{"searchQuery": "developer","location": "Beograd","maxResults": 50,"includeDetails": true}
Output
The scraper produces a dataset of job listings. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.
Example output
{"jobTitle": "Supervizor IT Infrastrukture","company": "Tarkett d.o.o.","location": "Backa Palanka | Hibrid","salary": "neto 900 - 1.600 EUR (mesecno)","jobType": "puno radno vreme","category": "IT / IT Architect","postedDate": "24.06.2026","deadline": "08.07.2026","jobDescription": "Planiranje i koordinisanje rada zaposlenih u timu...","requirements": "TCP/IP, DNS, DHCP, VPN protokoli; Windows Server...","url": "https://poslovi.infostud.com/posao/supervizor-it-infrastrukture/tarkett-doo/737586","sourceId": "737586","scrapedAt": "2026-06-09T12:00:00.000Z"}
Data fields
| Field | Type | Description |
|---|---|---|
jobTitle | String | Job position title |
company | String | Hiring company name |
location | String | City, may include work arrangement (Hibrid, Remote) |
salary | String | Salary range when displayed (neto/bruto, EUR/RSD) |
jobType | String | Work type: puno radno vreme, shift info, etc. |
category | String | Job sector/category (available with includeDetails) |
postedDate | String | Publication date (dd.mm.yyyy) |
deadline | String | Application deadline (available with includeDetails) |
jobDescription | String | Full description (available with includeDetails) |
requirements | String | Qualifications and requirements (available with includeDetails) |
url | String | Direct link to the listing on Poslovi Infostud |
sourceId | String | Infostud internal job listing ID |
scrapedAt | String | ISO 8601 timestamp of data collection |
How much does it cost to scrape Poslovi Infostud?
The cost depends on the number of listings scraped and whether you enable detail page visits.
- Search results only (
includeDetails: false): Very fast. ~100 listings cost around $0.10-0.20 in platform usage. - With full details (
includeDetails: true): Each listing requires a separate page visit. ~100 listings cost around $0.50-1.00 in platform usage.
Apify provides a free tier with $5 of monthly platform credits -- enough to scrape hundreds of job listings for free.
Advanced options
Proxy configuration
The scraper uses residential proxies by default for reliable access. You can change proxy settings in the Advanced section:
- Residential proxies (recommended): Most reliable, avoids blocks.
- Datacenter proxies: Faster and cheaper, but may get blocked.
- No proxy: Works for small test runs, not recommended for production.
Optimizing performance
- Disable
includeDetailswhen you only need basic listing data (title, company, location, date). - Use lower
maxResultsfor targeted searches. - Schedule regular runs to build a historical dataset of Serbian job market data.
Integration options
The scraped data can be integrated with your tools via:
- Apify API -- Access results programmatically from any language.
- Webhooks -- Get notified when a run completes.
- Integrations -- Connect to Google Sheets, Slack, Zapier, Make, and more.
Frequently asked questions
Is it legal to scrape Poslovi Infostud?
This scraper collects publicly available job listing data that anyone can view by visiting the website. No login, authentication, or cookies are used. Always review and comply with the website's Terms of Service before scraping.
Can I scrape jobs in English?
Poslovi Infostud is primarily a Serbian-language job board. Most listings are in Serbian, though some IT and international positions may be posted in English. Use English keywords like "developer" or "engineer" to find those listings.
Why are some fields empty?
Not all job listings include salary information or detailed descriptions. The salary field is only populated when the employer chooses to display it. Enable includeDetails for the richest data extraction including full descriptions and requirements.
How often should I run the scraper?
New jobs are posted daily on Poslovi Infostud. For job market monitoring, a daily or weekly schedule works well. Use Apify's built-in scheduling to automate your data collection.
Something is not working -- how can I get help?
Open an issue in the Issues tab on this actor's Apify Store page. Include details about your input configuration and any error messages. We also offer custom scraping solutions -- reach out if you need something tailored.