Crustdata
Start with free autocomplete and default to fuzzy contains operators `(.)` for higher recall. Use ISO-3 country codes, prefer crunchbase_categories over linkedin_industries for niche verticals, and use employee_count_range for filtering instead of employee_metrics.latest_count.
Tasks you can run with Crustdata on Deepline
Crustdata is wired into Deepline. 12 actions are available out of the box, runnable from the CLI or as a column step in an enrichment spreadsheet.
Quick start
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_company_enrichment:{"companyDomain":"example.com"}' --jsonAvailable actions
Company Enrichment
Running broader company enrichment with CrustData fields
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_company_enrichment:{"companyDomain":"example.com"}' --jsonCompanydb Autocomplete
Autocomplete suggestions for company fields. Use this before CompanyDB search for categories, industries, investors, and funding-stage values instead of guessing enums.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_companydb_autocomplete:{"field":"{{field}}","query":"{{query}}"}' --jsonCompanydb Search
Searching CrustData CompanyDB with structured filters. Best for crisp ICP pulls when you validate canonical values first; use ISO-3 hq_country, employee_count_range for filtering, and extract returned firmographics directly instead of re-enriching them.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_companydb_search:{"filters":[{"filter_type":"hq_country","type":"=","value":"USA"}]}' --jsonEnrich Company
Enriching one company from domain-level identifiers
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_enrich_company:{"domain":"example.com"}' --jsonEnrich Contact
Enriching one person from an email or profile identifier
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_enrich_contact:{"email":"jane.doe@example.com"}' --jsonJob Listings
Pulling company job listing intelligence. Best for known companies; coverage is thinner on smaller accounts and role/title filtering is usually a downstream step after retrieval.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_job_listings:{"companyDomains":["example.com"]}' --jsonLinkedin Posts
Fetching and filtering LinkedIn post activity
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_linkedin_posts:{"keyword":"{{keyword}}"}' --jsonPeople Enrich
Enriching multiple people records in batch style
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_people_enrich:{"linkedinProfileUrl":"https://www.linkedin.com/in/example"}' --jsonPeople Search
Running people search across CrustData datasets. Better as a structured retrieval/fallback path than as a source-of-truth TAM sizing tool.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_people_search:{"companyDomain":"{{companyDomain}}","titleKeywords":["{{titleKeywords}}"]}' --jsonPerson Enrichment
Running deeper person enrichment from known profile inputs
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_person_enrichment:{"linkedinProfileUrl":"https://www.linkedin.com/in/example"}' --jsonPersondb Autocomplete
Autocomplete suggestions for person fields
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_persondb_autocomplete:{"field":"{{field}}","query":"{{query}}"}' --jsonPersondb Search
Searching CrustData PersonDB with structured filters
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_persondb_search:{"filters":[{"filter_type":"region","type":"(.)","value":"United States"}]}' --jsonWhat people are saying about Crustdata
Real quotes from 4 cited sources across Reddit, HN, X, G2, and community forums.
“Our entire sales team is now Claude-pilled. They all use a Claude skill we made called pre-call research. Everyone connected their Claude to Google Calendar, the Crustdata MCP and Slack. Before every call it automatically looks at who is attending, pulls the company page and domain data from Crustdata. The enrichment runs in seconds and the reps walk into calls genuinely prepared.”
“The API is clean, fast, and well-documented, which makes integration with existing workflows almost effortless. The People Enrichment API pulls 90+ live datapoints from the web for a given profile — current job title, past work experience, education, and emails — all pulled at query time so you never get stale data. For teams serious about GTM, recruiting, or investment signals, Crustdata is one of the better tools available.”
“Crustdata delivers updates instantly via APIs and webhooks, which users find particularly valuable for responsive dashboards and tighter feedback loops. Credit-based pricing is consumption-driven, so you pay for what you use. One gap to note: no phone number data, so you will want to layer in a separate provider like Apollo or Cognism for phone coverage.”
“Crustdata powers 200+ platforms including recruiting, sales, and investing, with Y Combinator as a client. The MCP integration means sales teams can run real prospecting workflows through Claude every day — connecting real-time company and people data directly into AI agent workflows without switching tabs or exporting CSVs.”
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