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Developer builds B2B account list tool using public data, bypassing LinkedIn

A developer has created a pipeline using Apify Actors to build B2B account lists from publicly available data, bypassing the need to scrape LinkedIn. The process involves several steps: identifying companies that are hiring and for what roles, enriching company websites with contact information and tech stack details, and finding key decision-makers. An optional step checks email domain security, and a specialized actor can pull trucking company leads directly from FMCSA data. The developer notes limitations such as potential data gaps for smaller companies and the need to respect email privacy laws. AI

IMPACT Provides a method for sales and marketing teams to identify potential leads without violating terms of service or relying on outdated data.

RANK_REASON Developer created a tool/pipeline for a specific use case.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer builds B2B account list tool using public data, bypassing LinkedIn

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24 / 100
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Newsworthiness bucket
Tool
Developer created a tool/pipeline for a specific use case.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Panda Federation ·

    Build a B2B account list from public data (no LinkedIn scraping)

    <p><em>Disclosure: I build these tools, and I used AI to help write them and this post.</em></p> <p>Most "lead list" tools start by scraping LinkedIn. That breaks the terms of service, gets accounts banned, and the data goes stale fast. A lot of the same signal is sitting in publ…