# BDJobs Scraper β Jobs, Salaries & Company Details (`vero-api/bdjobs-jobs-scraper`) Actor
Search BDJobs.com and export clean job data: titles, companies, salaries, locations, posting dates, skills, experience, and full descriptions. Filter by keyword, country, date, job type, career level, or remote. Export to JSON, CSV, or Excel. No login needed.
- **URL**: https://apify.com/vero-api/bdjobs-jobs-scraper.md
- **Developed by:** [Veronica](https://apify.com/vero-api) (community)
- **Categories:** Jobs, Integrations, Agents
- **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 1,000 job listings
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## BDJobs Scraper
BDJobs Scraper lets you **extract job listings from BDJobs.com** β titles, companies, salaries, locations, posting dates, full descriptions, skills, and experience β across **Bangladesh** and BDJobs' **overseas** roles, and download them as **JSON, CSV, Excel, or XML**. It runs entirely in the cloud and needs no coding, login, or API key.
Try it right away: type what you're searching for, click **Start**, and watch the dataset fill up with structured job data.
### What data does BDJobs Scraper extract?
| Data | Details |
|---|---|
| πΌ **Job** | title, BDJobs URL, posting date, employment type |
| π’ **Company** | name and logo |
| π **Location** | formatted location plus structured city/district and country (overseas roles carry the foreign country) |
| π° **Salary** | monthly pay range in BDT when listed, or parsed from the description β optionally normalized to annual |
| π§° **Extras** | skill tags, experience range, and emails found in the description |
| π **Remote** | a flag marking remote / work-from-home roles |
| π **Description** | the full job description as Markdown, HTML, or plain text β your choice |
> The full description, skill tags, and emails come from each job's detail page β filled when **Fetch extra job info** is on.
### How do I scrape BDJobs jobs?
1. **Say what you want** β enter *Search keywords* (a job title, skill, or company), or leave it empty to browse the latest jobs.
2. **Pick a country** β keep **Bangladesh** for domestic jobs, or choose another country for BDJobs' overseas listings (the Gulf, Malaysia, Singapore, and more).
3. **Narrow it down** *(optional)* β filter by job type, career level, gender preference, recency (*Posted within*), or jobs *closing within* a few days, and limit to remote roles.
4. **Set how many** β choose *Maximum jobs*, or use `0` to pull every result BDJobs returns.
5. **Click Start** β then download your results from the **Storage** tab in any format, or send them anywhere with integrations.
### Fast by default, full detail on demand
By default you get a rich result for every job straight from search β title, company, location, salary, posting date, employment type, and experience. Flip on **Fetch extra job info** to also open each job for its full description, skill tags, and any contact emails, and choose the description format that suits you: **Markdown**, **HTML**, or **plain text**.
### Why scrape BDJobs?
- **Job-market research** β track demand for roles, skills, and titles across Bangladesh.
- **Recruiting & sourcing** β see who's hiring at home and overseas.
- **Salary benchmarking** β gather monthly BDT pay ranges, optionally normalized to annual.
- **Lead generation** β find companies actively hiring in your space.
### Input example
```json
{
"keywords": "software engineer",
"country": "bd",
"maxItems": 25,
"jobType": "fulltime",
"jobLevel": "Mid",
"postedWithin": "7",
"fetchExtraJobInfo": true,
"descriptionFormat": "markdown"
}
````
### Output example (abridged)
```json
{
"id": "1501502",
"title": "Software Engineer",
"url": "https://jobs.bdjobs.com/jobdetails.asp?id=1501502",
"company": {
"name": "Unimass Holdings Ltd",
"logo": "https://storage.googleapis.com/bdjobs/recruiter/logos/63802_3.png"
},
"location": { "formatted": "Dhanmondi, Bangladesh", "city": "Dhanmondi", "country": "Bangladesh" },
"isRemote": false,
"postedDate": "2026-06-23",
"jobType": ["Full-time"],
"salary": { "min": 40000, "max": 60000, "currency": "BDT", "interval": "monthly", "source": "direct" },
"skills": ["PHP", "Laravel", "MySQL"],
"experienceRange": "2 to 3 years",
"searchTerm": "software engineer",
"description": "## Responsibilities\nBuild and maintain web applicationsβ¦"
}
```
Only the fields a posting actually has are included, so records stay clean.
### Pricing
BDJobs Scraper uses **pay-per-event** pricing: a small fee when a run starts, plus a fee per job delivered. You pay only for the jobs you actually get β set *Maximum jobs* to control your spend.
### FAQ
#### Does BDJobs have an official API?
BDJobs has no public API. BDJobs Scraper gives you the same structured data through web scraping β run it on demand or on a schedule and get clean JSON from public BDJobs job pages.
#### Do I get salaries?
Yes. When an employer lists pay, you get the monthly BDT range. When pay appears only in the description, the scraper pulls it out. Turn on **Normalize salaries to annual** to convert monthly figures to yearly.
#### Can I find overseas jobs?
Yes. Set **Country** to any market BDJobs covers β Saudi Arabia, the UAE, Qatar, Malaysia, Singapore, and more β to get its overseas listings for Bangladeshi job seekers.
#### Can I run it on a schedule?
Yes β use the **Schedule** option to run it hourly, daily, weekly, or on any cron expression, and pair it with webhooks or integrations to push fresh jobs wherever you need them.
### Integrations
Connect BDJobs Scraper to **Google Sheets, Make, Zapier, n8n, Slack, Airbyte**, or any tool via webhooks. Developers can start runs and fetch results programmatically with the [API](https://docs.apify.com/api/v2) using the JavaScript or Python clients β see the **API** tab for ready-made code examples.
### Feedback and feature requests
Found a bug or missing a field you need? Open an issue in the **Issues** tab β feedback directly shapes what gets added next.
# Actor input Schema
## `keywords` (type: `string`):
The job title, skill, or company to search for β exactly what you'd type into BDJobs' search box (e.g. software engineer, accountant, marketing). Leave empty to browse the latest jobs.
## `country` (type: `string`):
Pick Bangladesh for domestic jobs (the default), or another country to find BDJobs' overseas listings for Bangladeshi job seekers in that market (e.g. the Gulf, Malaysia, Singapore).
## `maxItems` (type: `integer`):
How many job listings to return in total. Use 0 for no limit β the scraper then pulls every result BDJobs returns for the search.
## `jobType` (type: `string`):
Filter by employment type. Leave as Any to include all types.
## `postedWithin` (type: `string`):
Only return jobs posted within this window. Leave as Any time to include all dates.
## `jobLevel` (type: `string`):
Filter by seniority. Leave as Any to include all levels.
## `gender` (type: `string`):
Return only jobs that prefer a specific gender. Leave as Any to include all jobs.
## `deadline` (type: `integer`):
Only return jobs whose application deadline is within this many days β handy for catching roles closing soon. Leave empty for all open jobs.
## `descriptionFormat` (type: `string`):
How to format the job description text. Markdown is clean and readable; HTML preserves original styling; Plain text strips all markup. The description is only fetched when Fetch extra job info is on.
## `offset` (type: `integer`):
Skip the first N results β useful for paging through a large result set across runs.
## `isRemote` (type: `boolean`):
Return only jobs BDJobs tags as remote / work-from-home.
## `fetchExtraJobInfo` (type: `boolean`):
Open each job's detail page for the full job description and skill tags the search results omit. Adds one request per job, so it's slower.
## `enforceAnnualSalary` (type: `boolean`):
Convert all salary figures to annual equivalents (monthly Γ 12). BDJobs postings list monthly pay in BDT.
## Actor input object example
```json
{
"keywords": "software engineer",
"country": "bd",
"maxItems": 25,
"jobType": "",
"postedWithin": "",
"jobLevel": "",
"gender": "",
"descriptionFormat": "markdown",
"isRemote": false,
"fetchExtraJobInfo": false,
"enforceAnnualSalary": false
}
```
# Actor output Schema
## `jobs` (type: `string`):
One row per job listing.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": "software engineer",
"country": "bd"
};
// Run the Actor and wait for it to finish
const run = await client.actor("vero-api/bdjobs-jobs-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// π Want to learn more π? Go to β https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keywords": "software engineer",
"country": "bd",
}
# Run the Actor and wait for it to finish
run = client.actor("vero-api/bdjobs-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": "software engineer",
"country": "bd"
}' |
apify call vero-api/bdjobs-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=vero-api/bdjobs-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "BDJobs Scraper β Jobs, Salaries & Company Details",
"description": "Search BDJobs.com and export clean job data: titles, companies, salaries, locations, posting dates, skills, experience, and full descriptions. Filter by keyword, country, date, job type, career level, or remote. Export to JSON, CSV, or Excel. No login needed.",
"version": "1.0",
"x-build-id": "TZVQOuiRUObO6I3zh"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/vero-api~bdjobs-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-vero-api-bdjobs-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/vero-api~bdjobs-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-vero-api-bdjobs-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/vero-api~bdjobs-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-vero-api-bdjobs-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"keywords": {
"title": "Search keywords",
"type": "string",
"description": "The job title, skill, or company to search for β exactly what you'd type into BDJobs' search box (e.g. software engineer, accountant, marketing). Leave empty to browse the latest jobs."
},
"country": {
"title": "Country",
"enum": [
"bd",
"sa",
"ae",
"qa",
"kw",
"om",
"bh",
"my",
"sg",
"jp",
"kr",
"cn",
"hk",
"in",
"pk",
"it",
"ro",
"pl",
"gb",
"us",
"ca",
"au"
],
"type": "string",
"description": "Pick Bangladesh for domestic jobs (the default), or another country to find BDJobs' overseas listings for Bangladeshi job seekers in that market (e.g. the Gulf, Malaysia, Singapore).",
"default": "bd"
},
"maxItems": {
"title": "Maximum jobs",
"minimum": 0,
"type": "integer",
"description": "How many job listings to return in total. Use 0 for no limit β the scraper then pulls every result BDJobs returns for the search.",
"default": 25
},
"jobType": {
"title": "Job type",
"enum": [
"",
"fulltime",
"parttime",
"contract",
"internship"
],
"type": "string",
"description": "Filter by employment type. Leave as Any to include all types.",
"default": ""
},
"postedWithin": {
"title": "Posted within",
"enum": [
"",
"1",
"3",
"7",
"14",
"30"
],
"type": "string",
"description": "Only return jobs posted within this window. Leave as Any time to include all dates.",
"default": ""
},
"jobLevel": {
"title": "Career level",
"enum": [
"",
"Entry",
"Mid",
"Top"
],
"type": "string",
"description": "Filter by seniority. Leave as Any to include all levels.",
"default": ""
},
"gender": {
"title": "Gender preference",
"enum": [
"",
"M",
"F"
],
"type": "string",
"description": "Return only jobs that prefer a specific gender. Leave as Any to include all jobs.",
"default": ""
},
"deadline": {
"title": "Closing within (days)",
"minimum": 1,
"type": "integer",
"description": "Only return jobs whose application deadline is within this many days β handy for catching roles closing soon. Leave empty for all open jobs."
},
"descriptionFormat": {
"title": "Description format",
"enum": [
"markdown",
"html",
"text"
],
"type": "string",
"description": "How to format the job description text. Markdown is clean and readable; HTML preserves original styling; Plain text strips all markup. The description is only fetched when Fetch extra job info is on.",
"default": "markdown"
},
"offset": {
"title": "Results offset",
"minimum": 0,
"type": "integer",
"description": "Skip the first N results β useful for paging through a large result set across runs."
},
"isRemote": {
"title": "Remote only",
"type": "boolean",
"description": "Return only jobs BDJobs tags as remote / work-from-home.",
"default": false
},
"fetchExtraJobInfo": {
"title": "Fetch extra job info",
"type": "boolean",
"description": "Open each job's detail page for the full job description and skill tags the search results omit. Adds one request per job, so it's slower.",
"default": false
},
"enforceAnnualSalary": {
"title": "Normalize salaries to annual",
"type": "boolean",
"description": "Convert all salary figures to annual equivalents (monthly Γ 12). BDJobs postings list monthly pay in BDT.",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```