Slot usage
1 slot
Estimated execution time
~1 minute 10 seconds per 10 companies
What you'll need
- A list of company names (include location for better accuracy)
-
URL finder credits to perform online lookups
→ See the full breakdown of all input fields in the detailed section below.
What you’ll get
- Matched LinkedIn company URLs (if found)
-
Company page info
→ See the full breakdown of all output fields in the detailed section below.
Before you start
-
Awareness of usage habits:
- The Phantom can process multiple names per launch but will only handle as many as you specify.
- If your spreadsheet contains more names than the Phantom processes in one launch, it will pick up where it left off in the next run.
- To keep usage natural, spread your launches across the day instead of processing everything at once.
- This Phantom uses URL finder credits to perform online lookups and find profile or company URLs.
- Each lookup uses one credit, and your monthly limit depends on your plan.
Step 1: Provide company names
You can provide the company names in three ways:
-
My Lists:
Choose a saved LinkedIn Leads list you’ve already created in PhantomBuster. -
Direct input (called A URL):
- Type a single LinkedIn company name (plus optional location to improve accuracy, e.g. Topshop London).
- Provide a Google Sheet with LinkedIn company names (make sure it’s shared with “Anyone with the link”).
-
Upload a CSV file with LinkedIn company names (make sure it’s publicly accessible, and note that CSV upload is only available on paid plans).
→ If you’re using a spreadsheet, the Phantom defaults to the first column (A). To use a different column, enter the column’s header name in the field “Name of column containing company names.”
-
My Phantoms:
Use results from another Phantom as input (e.g. LinkedIn Search Export results).
Then, choose which region and language the Phantom should use when searching for company pages:
- Example: Canada – French (fr-CA) for French-speaking companies in Canada.
- If your exact option isn’t listed, pick the closest available match.
Step 2: Configure processing and results
Control how the Phantom handles your input:
-
Number of companies to process per launch (optional):
- Enter a number to cap how many names are processed each run.
- Leave empty to process all available inputs.
Result file settings (dropdown in setup)
-
Name your results file (optional)
-
You can customize the file name.
If you rename the file between launches, the Phantom will create a new results file and start processing inputs from scratch.
-
Step 3: Select launch frequency
Choose how often the Phantom should run:
- Launch manually: Start the Phantom yourself whenever you need.
- Launch once at a specific time: schedule a one-time run at a set date and time.
- Launch repeatedly: schedule regular runs (e.g. once per day, several times during working hours).
- Launch after another Phantom: chain automations together so this Phantom starts right after another finishes.
- Advanced scheduling: customize the exact minutes, hours, days, or months when the Phantom should run.
→ For a complete walkthrough of scheduling options, see our guide to scheduling Phantoms automatically.
Step 4 (Optional): Advanced settings
Advanced settings are available if you want to fine-tune how your Phantom runs, but by default they’re already optimized for most use cases.
We recommend leaving them as they are unless a guide specifically instructs you to change something.
→ For a detailed overview of all advanced options (like execution limits, retries, email notifications, proxies, webhooks, and file management), see our Advanced settings guide.
Launch and results
When you’re ready:
- Click Launch to start your Phantom.
- Once it finishes, open the Results tab in the Phantom console for the company page URLs found.
- Download your results as a CSV or JSON file.
→ To learn how to export your data to Google Sheets, integrate with other tools, or reuse it in more automations, check our Access and Export your Phantom Results guide.
Export and input limits on the Free plan
If you’re on the Free plan or Free trial, some features are limited:
- CSV exports include only the first 10 rows of results.
- CSV download links (for dynamic viewing in Google Sheets or integrations) are not available.
- JSON exports are not available.
- CSV upload as an input method is not supported.
To unlock all features, you’ll need to upgrade to a paid plan.
What you give (Input) and What you get (Output)
This section gives you a detailed breakdown of everything you need to provide to run this Phantom, and everything you’ll receive once it completes.
What you give (Input)
| Type | Description |
|---|---|
| Company names | Company names |
What you get (Output)
| Type | Description |
|---|---|
| linkedinUrl | Matched LinkedIn company URL (if found) |
| title | Title |
| description | Description |
| query | The search query that led to this URL |
Tips and troubleshooting
Common pitfalls
- Using a private Google Sheet → make sure it’s shared with “Anyone with the link.”
- Providing vague company names without a location, which can return incorrect matches.
- Renaming your results file mid-process, which forces the Phantom to start over.
If you run into issues
- Check how to troubleshoot your phantom using Logs.
- Browse the Fix Issues & Troubleshoot Errors section for solutions to common problems.
- Review our Automation Rate Limits by Platform guide.
- Check our Best Practices for Social Media Automation guide.
Suggested automations
Once you’ve collected LinkedIn company URLs, you can:
-
LinkedIn Company Employees Export → extract employees from those companies.
- After exporting, filter by job titles you’re targeting (e.g. Marketing Manager, Sales Director).
- Use the filtered list as input for the LinkedIn Outreach Phantom to send personalized connection requests or messages.
- LinkedIn Company Scraper → collect complete company page details (industry, size, description, etc.), since follower data is only available if you’re an admin.
- LinkedIn Profile Scraper → enrich the employee profiles you collected with additional details, such as professional emails and expanded job data.