How to get Company Org Chart by Domain in Excel
Paste a company domain, a company name, or a chart page and get the people at the top of that company’s public org chart. theorg.com is one page of it. A run reads that public list and saves one row per result.
Set up the Apify actor
Apify is where this run is collected. An actor is the program that collects the rows. A task is that program saved with your settings, so the next section can ask for the latest rows. You need a free Apify account.
- 01Open Company Org Chart by Domain and click Try for free. Create an Apify account if you do not have one. The Free plan does not ask for a card.
- 02You are on the input form. Keep the sample for this first run.
{ "companies": [ "stripe.com" ], "maxItems": 5 } - 03Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
- 04Open Storage, then Dataset. You should see
fullName,role,profileUrl,chartLevel. - 05When you want the real list, raise maxItems. The sample cap is only there so the first run stays small.
- 06Go back to the input and choose Save as a new task. Name it after this list.
- 07Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
- 08On the task, open Schedules and add a weekly run if you want fresh rows. Each run pays the start charge and the charge for the rows. The amounts are in the price list on this page.
- 09Open Settings, then API & Integrations, and copy an API token. Excel, Sheets, and the other guides put this token in a download link. Anyone with that link can download the rows, so treat it like a password.
How to set up in Excel
Use the task ID and the API token from Set up the Apify actor, above.
- 01On a finished run, open the dataset, choose Export, then Excel.
- 02To download the newest successful run later, open this address. Replace
TASK_IDandYOUR_TOKEN.https:// api.apify.com/ v2/ actor-tasks/ TASK_ID/ runs/ last/ dataset/ items? format=xlsx& clean=true& status=SUCCEEDED& token=YOUR_TOKEN - 03Excel opens that file as a table.
Schema
Examples come from the actor sample, not a live result.
| Name | Description | Example |
|---|---|---|
fullName | Person’s name on the chart | John |
role | Job title | President |
profileUrl | Their page on the chart | https:/ |
chartLevel | 1 is the top of the walked tree | 2 |
reportCount | People in the chart under this person | 1261 |
managerName | Who they report to | Patrick |
managerRole | Manager’s title | CEO |
managerProfileUrl | Manager’s chart page | https:/ |
companyName | Company on the chart | Stripe |
companyQuery | The domain, name, or URL you entered | stripe.com |
companyWebsite | Company website | https:/ |
companyLinkedInUrl | Company LinkedIn page | https:/ |
employeeRange | Published headcount band | 5000-10000 |
chartSize | People listed on the full chart | 10994 |
headquarters | City and country on the company card | San |
industry | Industries on the company card | Finance, |
companySlug | Chart slug | stripe |
section | Chart section | orgChart |
scrapedAt | When this run saved the row | 2026-09-28T10:45:00+00:00 |
fullNamePerson’s name on the chartJohnCollison roleJob titlePresidentprofileUrlTheir page on the charthttps:// theorg.com/ org/ stripe/ person/ john-collison chartLevel1 is the top of the walked tree2reportCountPeople in the chart under this person1261managerNameWho they report toPatrickCollison managerRoleManager’s titleCEOmanagerProfileUrlManager’s chart pagehttps:// theorg.com/ org/ stripe/ person/ patrick-collison companyNameCompany on the chartStripecompanyQueryThe domain, name, or URL you enteredstripe.comcompanyWebsiteCompany websitehttps:// stripe.com companyLinkedInUrlCompany LinkedIn pagehttps:// www.linkedin.com/ company/ stripe employeeRangePublished headcount band5000-10000chartSizePeople listed on the full chart10994headquartersCity and country on the company cardSanFrancisco, United States industryIndustries on the company cardFinance,FinTech, Technology companySlugChart slugstripesectionChart sectionorgChartscrapedAtWhen this run saved the row2026-09-28T10:45:00+00:00