dataify-crunchbase-company-by-urlPrepare Dataify builder requests for the crunchbase.com scraper family rooted at crunchbase_company_by-url. Use when needs to work with the successful Dataif...
Install via ClawdBot CLI:
clawdbot install dataify-server/dataify-crunchbase-company-by-urlGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://scraperapi.dataify.com/builderCalls external URL not in known-safe list
https://dataify.com/dashboardAudited May 29, 2026 · audit v1.0
Generated Oct 2, 2026
An analyst has a list of Crunchbase company page URLs and needs the full profile data extracted in bulk. The skill takes each URL, builds a Dataify builder request against the crunchbase_company_by-url tool, and returns structured company records. This removes manual copy-paste work for firmographic research.
A sales development team wants to discover companies matching keywords like 'fintech' or 'AI' on Crunchbase without knowing the exact URLs. Using the keyword tool variant, they batch queries and zip multiple search terms against shared pagination values to pull candidate accounts. Output feeds directly into lead scoring pipelines.
A strategy team tracks competitors and adjacent players by periodically re-scraping saved Crunchbase URLs. The skill standardizes the request format so results land in a consistent schema, making it easy to diff funding rounds, headcount, and funding stage over time. Enables alerting on meaningful changes.
A venture capital associate collects Crunchbase URLs for inbound deal flow and enriches each one with structured company data. The skill handles the parameter alignment so multiple URLs and shared filters produce one row per company. Enriched records feed the firm's deal CRM.
A data engineer assembles a dataset of companies across regions and sectors to power an internal market map dashboard. Using select parameters like country with Chinese labels, they generate multi-row spider_parameters arrays in a single request. The standardized curl output is scriptable inside CI pipelines.
Sell structured Crunchbase company records as an add-on to an existing sales or research platform. Customers submit URLs or keywords and receive normalized JSON enriched with firmographics. Pricing scales with request volume, fitting naturally into the Dataify token consumption model.
Bundle keyword-driven Crunchbase scraping into a self-serve prospecting tool for SDRs and founders. The skill handles the brittle request-building logic, so the product focuses on filters, list management, and CRM sync. Differentiates on breadth of coverage and easy multi-row batching.
Offer analysts and consultancies recurring reports built from continuously refreshed Crunchbase data. The skill standardizes extraction so refresh jobs are reliable and comparable over time. Value comes from trend detection, alerts, and curated market maps rather than raw data alone.
💬 Integration Tip
Always confirm DATAIFY_API_TOKEN is set before building the request, and prefer the Python helper script for portability while keeping the PowerShell variant for Windows users. Preserve Chinese option labels in spider_parameters and zip multi-value parameters by index to avoid mismatched rows.
Scored Oct 2, 2026
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