What It Does
- Adds company-level details using
domain,company_name, orlinkedin_url - Returns rich firmographics like
industry,size,funding,social links, and more - Supports dynamic inputs from earlier steps
- Keeps your original row structure intact
- Auto-resolves naming conflicts by applying suffixes like
_1,_2, etc.
π Getting Started

1
Add the Node
Drop Enrich Company anywhere in your flow β itβs not a trigger node.
2
Map an Identifier Column
Select a column with either
Use
domain, company_name, or linkedin_url.Use
@ to reference earlier nodes.3
Select Enrichment Fields
Pick which firmographic fields to return β or leave blank to include all available fields.
4
Run the Flow
Each row will be enriched with matching company data.
Inputs
π οΈ Required Fields
-
Company Identifier (β
)
Must map at least one of the following:domaincompany_namelinkedin_url
Why it matters: This is how we look up the right company.
-
Enrichment Fields (β
)
Pick the attributes to include β or leave blank to return everything.
All identifier fields can reference earlier steps using
@ or Insert Input.Output
- Your original columns stay intact
- Enrichment fields are appended
- Unmatched rows still pass through β just with blanks

π§Ύ Available Enrichment Fields
You can select any of the following β or leave the dropdown blank to return everything:πΉ Identity & Web Presence
namewebsite_urlprimary_domainlinkedin_urltwitter_urlfacebook_urlangellist_urlblog_urllogo_urllinkedin_uid
πΉ Contact Info
phonesanitized_phoneprimary_phone.numberprimary_phone.sanitized_numberprimary_phone.source
πΉ Firmographics
industryindustriessecondary_industriesestimated_num_employeesdepartmental_head_countfounded_yearalexa_rankinglanguagesretail_location_count
πΉ Revenue & Funding
annual_revenueannual_revenue_printedtotal_fundingtotal_funding_printedlatest_funding_round_datelatest_funding_stagefunding_events
πΉ Technology & Tags
technology_namescurrent_technologiesindustry_tag_idindustry_tag_hashkeywordssnippets_loaded
πΉ Org Chart & Ownership
org_chart_root_people_idsorg_chart_sectororg_chart_removedorg_chart_show_department_filterowned_by_organization_id
πΉ Location & Address
raw_addressstreet_addresscitystatepostal_codecountry
πΉ Descriptions
seo_descriptionshort_description
πΉ Structure
suborganizationsnum_suborganizations
Only the fields you select will be returned. Leave it blank to return all of the above.
How It Works
- You map an identifier (
@domain,@company_name, or@linkedin_url) - The platform queries our company data source
- Any matched fields are appended as new columns
- Original data is preserved
π Example Use Cases
| Use Case | Setup Example |
|---|---|
| Enrich CRM exports | Map @domain, pull industry, headcount, logo_url |
| Lead routing | Use @linkedin_url, return employee_count, hq |
| List cleaning | Fill gaps using company_name + website_url |
| Scoring & segmentation | Pull revenue, location, funding stage |
β¨ Pro Tips
β οΈ Important Considerations
π Troubleshooting & Gotchas
| Symptom | Likely Cause | How to Fix |
|---|---|---|
| Blank enrichment fields | No match found for that row | Try a different identifier or fix formatting |
Columns like name_1 | Field conflict with input | Use Rename Columns if needed downstream |
π° Pricing
| Action | Credit Cost |
|---|---|
| Per enriched row (matched) | 5 credits |
Only rows with matches are charged. No match = no charge.
Give your account data a lift β enrich firmographics, size, and social links automatically, all while keeping your input clean. βοΈπ’