No-Code scraper · JSON API

LinkedIn Company Scraper

Collect public LinkedIn company details from company URLs or name searches, including website and employee information.

JSON CSV & XLSX API access
Read the API reference →
From web pages to a dataset

What you can do

Research companies by name or LinkedIn URL.

Enrich business research with public company fields.

Compare company profiles in a structured dataset.

01

Set your sources

Open the scraper and enter your own URLs, search terms and limits.

02

Review & run

Check the cost estimate and confirm the task. Follow its progress in your account.

03

Use your data

Explore saved results and export CSV, JSON or XLSX. Downloads of saved results are free.

Know what to expect

Sample data & output fields

Illustrative example

These example values demonstrate the data shape; they are not a live scraper result. Available fields depend on the source, selected options and upstream data.

JSON · illustrative result
[
  {
    "id": "example-001",
    "name": "Example name",
    "linkedinUrl": "https://example.com/result",
    "website": "https://example.com/result",
    "employeeCount": 100
  }
]
FieldTypeDescription
idstringId.
namestringName.
linkedinUrlstringLinkedin url.
websitestringWebsite.
employeeCountnumberEmployee count.
Start with a real configuration

Example input

This is the configured parser input. Replace the example sources with your own and review all limits before running.

JSON · example input
{
  "companies": [
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft"
  ]
}
Explore input fields
FieldTypeNotes
companiesarrayList of LinkedIn company URLs
The same scraper in your application

Run through the API

Create an API key in your account, send the input to the queued endpoint and use the returned task ID to retrieve results. Sending a live request uses credits.

cURL · queue a task
curl --request POST 'https://extracto.cloud/api/v1/parsers/linkedin-company/queue' \
  --header 'X-API-KEY: ext_your_api_key' \
  --header 'Content-Type: application/json' \
  --header 'Accept: application/json' \
  --data-binary @- <<'JSON'
{
  "input": {
    "companies": [
      "https://www.linkedin.com/company/google",
      "https://www.linkedin.com/company/microsoft"
    ]
  }
}
JSON

Your next dataset starts here.

Choose your sources, review the price and run LinkedIn Company Scraper.

Open scraper