Search Jobs

curl -X POST https://api.dataforb2b.ai/search/jobs \
  -H "api_key: YOUR_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "linkedin",
    "keyword": "backend engineer",
    "location": "Paris, France",
    "job_type": "fulltime",
    "date_posted": "past_week",
    "count": 25
  }'

import requests

response = requests.post(
    "https://api.dataforb2b.ai/search/jobs",
    headers={
        "api_key": "YOUR_api_key",
        "Content-Type": "application/json"
    },
    json={
        "platform": "linkedin",
        "keyword": "backend engineer",
        "location": "Paris, France",
        "job_type": "fulltime",
        "date_posted": "past_week",
        "count": 25
    }
)

data = response.json()
print(f"Got {data['count']} jobs")

const response = await fetch('https://api.dataforb2b.ai/search/jobs', {
  method: 'POST',
  headers: {
    'api_key': 'YOUR_api_key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    platform: 'linkedin',
    keyword: 'backend engineer',
    location: 'Paris, France',
    job_type: 'fulltime',
    date_posted: 'past_week',
    count: 25
  })
});

const data = await response.json();
console.log(`Got ${data.count} jobs`);

{
  "total": 25,
  "offset": 0,
  "count": 2,
  "has_next": true,
  "credits_used": 1.5,
  "results": [
    {
      "job_id": "4436084243",
      "platform": "linkedin",
      "title": "Backend Engineer - Node.js / Typescript",
      "job_url": "https://fr.linkedin.com/jobs/view/backend-engineer-node-js-typescript-at-cozycozy-com-4374111498",
      "employment_type": "Full-time",
      "seniority_level": "Mid-Senior level",
      "job_function": "Engineering",
      "is_remote": null,
      "company_name": "cozycozy.com",
      "company_url": "https://www.linkedin.com/company/cozycozy",
      "company_logo_url": "https://media.licdn.com/dms/image/...",
      "industry": null,
      "location": "Paris, Île-de-France, France",
      "salary": null,
      "date_posted": "2026-07-06",
      "posted_days_ago": 4,
      "description": null
    },
    {
      "job_id": "4430700343",
      "platform": "linkedin",
      "title": "Full-Stack Developer (junior)",
      "job_url": "https://fr.linkedin.com/jobs/view/full-stack-developer-junior-at-leonar-4436084243",
      "employment_type": "Full-time",
      "seniority_level": "Entry level",
      "job_function": "Engineering",
      "is_remote": null,
      "company_name": "Leonar",
      "company_url": "https://www.linkedin.com/company/leonar-app",
      "company_logo_url": "https://media.licdn.com/dms/image/...",
      "industry": null,
      "location": "Paris, Île-de-France, France",
      "salary": null,
      "date_posted": "2026-07-05",
      "posted_days_ago": 5,
      "description": null
    }
  ]
}

POST

jobs

curl -X POST https://api.dataforb2b.ai/search/jobs \
  -H "api_key: YOUR_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "linkedin",
    "keyword": "backend engineer",
    "location": "Paris, France",
    "job_type": "fulltime",
    "date_posted": "past_week",
    "count": 25
  }'

import requests

response = requests.post(
    "https://api.dataforb2b.ai/search/jobs",
    headers={
        "api_key": "YOUR_api_key",
        "Content-Type": "application/json"
    },
    json={
        "platform": "linkedin",
        "keyword": "backend engineer",
        "location": "Paris, France",
        "job_type": "fulltime",
        "date_posted": "past_week",
        "count": 25
    }
)

data = response.json()
print(f"Got {data['count']} jobs")

const response = await fetch('https://api.dataforb2b.ai/search/jobs', {
  method: 'POST',
  headers: {
    'api_key': 'YOUR_api_key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    platform: 'linkedin',
    keyword: 'backend engineer',
    location: 'Paris, France',
    job_type: 'fulltime',
    date_posted: 'past_week',
    count: 25
  })
});

const data = await response.json();
console.log(`Got ${data.count} jobs`);

{
  "total": 25,
  "offset": 0,
  "count": 2,
  "has_next": true,
  "credits_used": 1.5,
  "results": [
    {
      "job_id": "4436084243",
      "platform": "linkedin",
      "title": "Backend Engineer - Node.js / Typescript",
      "job_url": "https://fr.linkedin.com/jobs/view/backend-engineer-node-js-typescript-at-cozycozy-com-4374111498",
      "employment_type": "Full-time",
      "seniority_level": "Mid-Senior level",
      "job_function": "Engineering",
      "is_remote": null,
      "company_name": "cozycozy.com",
      "company_url": "https://www.linkedin.com/company/cozycozy",
      "company_logo_url": "https://media.licdn.com/dms/image/...",
      "industry": null,
      "location": "Paris, Île-de-France, France",
      "salary": null,
      "date_posted": "2026-07-06",
      "posted_days_ago": 4,
      "description": null
    },
    {
      "job_id": "4430700343",
      "platform": "linkedin",
      "title": "Full-Stack Developer (junior)",
      "job_url": "https://fr.linkedin.com/jobs/view/full-stack-developer-junior-at-leonar-4436084243",
      "employment_type": "Full-time",
      "seniority_level": "Entry level",
      "job_function": "Engineering",
      "is_remote": null,
      "company_name": "Leonar",
      "company_url": "https://www.linkedin.com/company/leonar-app",
      "company_logo_url": "https://media.licdn.com/dms/image/...",
      "industry": null,
      "location": "Paris, Île-de-France, France",
      "salary": null,
      "date_posted": "2026-07-05",
      "posted_days_ago": 5,
      "description": null
    }
  ]
}

Credit Cost

Mode	Credits
All searches	1.5 credits per 10 job postings returned

Request Body

string

default:"linkedin"

Job platform to search: linkedin or indeed.

string

Search keyword: job title, skill, or company (e.g., "backend engineer").

string

Location to search in (e.g., "Paris, France", "United States"). The universal geo param — used by both platforms.

string

default:"usa"

Indeed only — optional. Selects the Indeed country site. Auto-derived from location when it names a country (e.g. "Lyon, France" → France). Pass it explicitly only to override, or when location has no country. Ignored by LinkedIn.

integer

Search radius in miles around the location (0–200).

string

Employment type: fulltime, parttime, contract, temporary, internship.

string

Work arrangement: onsite, remote, hybrid.

string

Seniority (LinkedIn only): internship, entry_level, associate, mid_senior, director, executive.

string

Freshness of the postings: past_24h, past_week, past_month.

On Indeed, date_posted cannot be combined with job_type or work_type.

string

Comma-separated company IDs to restrict the search (LinkedIn only). Accepts encoded IDs (org_xxx, as returned by Typeahead and Search Company) and/or raw numeric LinkedIn IDs.

string

Company name to restrict the search to a single employer’s postings (both platforms resolve it to that company’s jobs). Combine with keyword and/or location to narrow within the company. Ignored if company_ids is provided.

boolean

default:"false"

Include the full job description on each result. On LinkedIn this is slower (one extra request per job); on Indeed it adds no latency.

integer

default:"0"

Number of results to skip for pagination.

integer

default:"25"

Number of job postings to return. Maximum: 100 per request.

Response

integer

Total number of matching job postings. On LinkedIn this is the platform’s global count (capped at 1000 — shown as “1,000+” — for very large result sets). On Indeed, which exposes no global count, it’s a lower bound (how many were enumerated so far); use has_next to know if more exist.

integer

Offset used for pagination.

integer

Number of results returned in this response.

boolean

Whether more results are available. Use it with offset to paginate.

number

Credits used for this search.

array

List of job postings, normalized across platforms.

Show job posting properties

string

Platform job ID

string

Source platform (linkedin, indeed)

string

Job title

string

URL of the job posting

string

Employment type (e.g., “Full-time”)

string

Seniority level (e.g., “Mid-Senior level”)

string

Job function (e.g., “Engineering”)

boolean

Whether the job is remote

string

Hiring company name

string

Hiring company page URL

string

Hiring company logo URL

string

Company industry

string

Job location

string

Salary information when published

string

Date the job was posted (e.g., “2026-07-06”)

integer

Days since the job was posted

string

Full job description (only when fetch_description is true)

curl -X POST https://api.dataforb2b.ai/search/jobs \
  -H "api_key: YOUR_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "linkedin",
    "keyword": "backend engineer",
    "location": "Paris, France",
    "job_type": "fulltime",
    "date_posted": "past_week",
    "count": 25
  }'

import requests

response = requests.post(
    "https://api.dataforb2b.ai/search/jobs",
    headers={
        "api_key": "YOUR_api_key",
        "Content-Type": "application/json"
    },
    json={
        "platform": "linkedin",
        "keyword": "backend engineer",
        "location": "Paris, France",
        "job_type": "fulltime",
        "date_posted": "past_week",
        "count": 25
    }
)

data = response.json()
print(f"Got {data['count']} jobs")

const response = await fetch('https://api.dataforb2b.ai/search/jobs', {
  method: 'POST',
  headers: {
    'api_key': 'YOUR_api_key',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    platform: 'linkedin',
    keyword: 'backend engineer',
    location: 'Paris, France',
    job_type: 'fulltime',
    date_posted: 'past_week',
    count: 25
  })
});

const data = await response.json();
console.log(`Got ${data.count} jobs`);

{
  "total": 25,
  "offset": 0,
  "count": 2,
  "has_next": true,
  "credits_used": 1.5,
  "results": [
    {
      "job_id": "4436084243",
      "platform": "linkedin",
      "title": "Backend Engineer - Node.js / Typescript",
      "job_url": "https://fr.linkedin.com/jobs/view/backend-engineer-node-js-typescript-at-cozycozy-com-4374111498",
      "employment_type": "Full-time",
      "seniority_level": "Mid-Senior level",
      "job_function": "Engineering",
      "is_remote": null,
      "company_name": "cozycozy.com",
      "company_url": "https://www.linkedin.com/company/cozycozy",
      "company_logo_url": "https://media.licdn.com/dms/image/...",
      "industry": null,
      "location": "Paris, Île-de-France, France",
      "salary": null,
      "date_posted": "2026-07-06",
      "posted_days_ago": 4,
      "description": null
    },
    {
      "job_id": "4430700343",
      "platform": "linkedin",
      "title": "Full-Stack Developer (junior)",
      "job_url": "https://fr.linkedin.com/jobs/view/full-stack-developer-junior-at-leonar-4436084243",
      "employment_type": "Full-time",
      "seniority_level": "Entry level",
      "job_function": "Engineering",
      "is_remote": null,
      "company_name": "Leonar",
      "company_url": "https://www.linkedin.com/company/leonar-app",
      "company_logo_url": "https://media.licdn.com/dms/image/...",
      "industry": null,
      "location": "Paris, Île-de-France, France",
      "salary": null,
      "date_posted": "2026-07-05",
      "posted_days_ago": 5,
      "description": null
    }
  ]
}

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