Bdjobs Scraper

hipersoft/bdjobs-scraper

Scrape job listings from Bdjobs.com, Bangladesh's largest job site: title, company, location, job type, experience, education, vacancies, salary, deadline, plus full description, requirements, age, benefits, company address and website. Export CSV/JSON.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job

$0.002

Last rebuilt

Oct 26, 2026

Overview

Bdjobs Scraper extracts job listings from Bdjobs.com, Bangladesh's largest job site with thousands of vacancies in Dhaka, Chattogram, Gazipur, Narayanganj, Sylhet, Khulna, Rajshahi and across Bangladesh. Search any keyword or job title (accountant, software engineer, sales executive, merchandiser, NGO, garments…) and get for every job the title, company and logo, location, job type, workplace, required experience, education, number of vacancies, salary, posting date, application deadline, featured flag and summary. Turn on Full job details to also get the complete job description, additional requirements, skills, age and gender requirements, experience area, salary range (min and max), benefits, company business, company address and website. Export to CSV, Excel or JSON. Ideal for recruiters, HR tech, salary research and the Bangladeshi labour market.

What does Bdjobs Scraper do?

🇧🇩 Bangladeshi jobs from Bdjobs.com: thousands of active vacancies.
🔎 Keyword search: accountant, engineer, sales, marketing, garments, NGO, banking…
📍 Location filter: Dhaka, Chattogram, Gazipur, Sylhet, Khulna…
🕒 Job type filter: full-time, part-time, contractual, internship, freelance.
🎓 Experience and education requirements.
💰 Salary and salary range when published.
📅 Posting date and deadline.
📝 Full description, requirements, skills and benefits (optional).
🏢 Company business, address and website (optional).

What data can you scrape from Bdjobs?

Field	Description
Job	ID, title, link, job type, workplace, featured, online apply
Company	Name, logo, ID, business, address, website, other open jobs
Location	Location
Requirements	Experience, education, additional requirements, skills, age, gender, experience area*
Pay	Salary, salary range, min and max salary, benefits*
Dates	Posted, deadline
Text	Summary, full description*

* With Full job details turned on.

Use cases for Bangladeshi job data

Recruiters and HR agencies: track who is hiring in Bangladesh and for which roles.
Salary research: compare published salaries by role and location.
HR tech and job aggregators: syndicate Bangladeshi vacancies.
Labour-market research: analyse demand by sector, experience and location.
Job seekers: monitor new jobs that match your profile.

How to scrape Bdjobs

Click Try for free to open Bdjobs Scraper in Apify Console.
Enter keywords, and optionally locations and job types.
Turn on Full job details if you need descriptions and company info.
Set Max jobs and click Start.
Download the jobs as CSV, Excel or JSON.

Input

Example input

{
  "searchTerms": ["accountant", "software engineer"],
  "locations": ["Dhaka"],
  "jobTypes": ["FullTime"],
  "includeDetails": true,
  "maxItems": 500
}

Field	Description
Keywords	One search per keyword; empty = all jobs.
Locations	Keep only these locations.
Job types	Keep only these job types.
Full job details	Adds description, requirements, salary range, company info.
Max jobs	Stop after this many (0 = no limit).

Output

Job example (with full details)

{
  "jobId": 1542126,
  "url": "https://bdjobs.com/h/details/1542126",
  "title": "Project Accountant",
  "company": "Breaking the Silence (BTS)",
  "location": "Munshiganj",
  "jobType": "FullTime",
  "workplace": "Work at office",
  "experience": "At least 3 years",
  "education": "Master's in Accounting, Finance, or equivalent subject.",
  "vacancies": 1,
  "postedAt": "2026-10-07T04:52:00Z",
  "deadline": "2026-10-14",
  "description": "Job Context: Breaking the Silence is a non-profit, voluntary organization…",
  "age": "At most 45 years",
  "experienceArea": "NGO",
  "otherBenefits": "Gross: Taka 48,556.00 Per Month • 2 days weekend • Bonus",
  "search": "accountant"
}

Output schema

Field	Type	Description
`jobId`, `url`, `title`, `jobType`, `jobNature`, `workplace`, `featured`, `onlineApply`, `categoryId`	mixed	Job.
`company`, `companyLogo`, `companyId`, `companyBusiness`, `companyAddress`, `companyWebsite`, `companyOtherJobs`	mixed	Company.
`location`	string	Location.
`experience`, `education`, `additionalRequirements`, `skills`, `age`, `gender`, `experienceArea`	mixed	Requirements.
`vacancies`, `salary`, `salaryRange`, `salaryMin`, `salaryMax`, `benefits`, `otherBenefits`	mixed	Pay and benefits.
`postedAt`, `deadline`	string	Dates.
`summary`, `description`	string	Text.
`search`, `scrapedAt`	string	Source info.

How much does it cost?

Bdjobs Scraper uses pay-per-job pricing: a small fixed price per job, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price.

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LinkedIn Jobs Scraper: jobs worldwide.

FAQ

Why is the salary empty for many jobs? Many employers mark the salary as negotiable or do not publish it.

Can I scrape all jobs on Bdjobs? Yes. Leave Keywords empty and set Max jobs to 0.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate Bdjobs Scraper with other apps? Bdjobs Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape Bdjobs? The scraper only collects publicly posted job ads. You are responsible for using the data in line with Bdjobs' terms and applicable law.

Notes

Original clean-room implementation. Returns only public data. Not affiliated with Bdjobs.

Input

Field	Type	Description
`searchTerms` Keywords	array	Job titles or keywords, e.g. accountant, software engineer, sales, merchandiser, NGO. Each keyword is a separate search. Leave empty for all jobs.
`locations` Locations	array	Optional. Keep only jobs in these locations, e.g. Dhaka, Chattogram, Gazipur, Sylhet, Khulna.
`jobTypes` Job types	array	Optional. Keep only these job types.
`includeDetails` Full job details	boolean	Also collect the full description, requirements, skills, age, gender, salary range, benefits, company business, address and website. Slower. Default: `false`
`maxItems` Max jobs	integer	Stop after this many jobs. 0 means no limit. Default: `200`
`proxyConfiguration` Proxy configuration	object	Not required for normal use. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~bdjobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchTerms": [
    "accountant"
  ],
  "maxItems": 50
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/bdjobs-scraper").call(run_input={
    "searchTerms": [
        "accountant"
    ],
    "maxItems": 50
})

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/bdjobs-scraper').call({
  "searchTerms": [
    "accountant"
  ],
  "maxItems": 50
});

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

Pricing

Event	Price	Paid plans from
Job One job listing scraped	$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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