B2B Social Profiles, Posts & Leads Scraper

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Overview

Most B2B outbound campaigns fail because they rely on stale static databases where every prospect receives the exact same template. B2B Social Leads & Executive Signal Extractor solves this by querying live public social graphs and technical communities in real time, returning both verified decision-maker profiles and their most recent public post or technical contribution to power contextual outreach.

Instead of spinning up heavy headless browsers that burn compute units and fail on login walls, this Actor communicates directly with public JSON endpoints (ATProtocol / Bluesky, GitHub REST v3, Algolia HN Search) and parses OpenGraph/HTML metadata on direct landing pages.

Core Capabilities

Capability	Technical Implementation	B2B Value
Multi-Network Persona Search	Concurrent async queries across Bluesky, GitHub, and Hacker News	Locate technical founders, CTOs, indie hackers, and GTM operators by niche
Contextual Icebreaker Capture	Pulls the prospect's latest non-reply post or Show HN launch (postContent)	Feed directly into Clay, Make, or n8n LLM steps for 1-to-1 cold email hooks
Executive Role Classification	Deterministic regex & taxonomy tagging on biographies and headlines	Filter instantly by Founder / Co-Founder, C-Level Executive, VP / Director, or AI / ML Builder
Contact & Domain Resolution	Extracts public emails, personal blogs, company domains, and X/LinkedIn URLs	Enrich CRM records without paying secondary waterfall credits

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Input Parameters

Configure the run via the Apify Console visual form or pass a JSON payload through the API:

Field	Type	Default	Description
searchQueries	string[]	["SaaS founder", "AI startup"]	Target personas, industries, job titles, or product categories.
targetUrls	string[]	[]	Optional list of direct profile URLs or company pages to enrich.
platforms	string[]	["bluesky", "github", "hackernews"]	Networks to query for each search term.
includeLatestPost	boolean	true	When enabled, fetches the prospect's latest public post or thread text.
maxResults	integer	50	Maximum number of deduplicated leads returned across the run (1–5000).

Example Input (INPUT.json)

{
  "searchQueries": [
    "SaaS founder",
    "DevTools CEO",
    "RevOps consultant"
  ],
  "targetUrls": [
    "https://feedbask.com"
  ],
  "platforms": [
    "bluesky",
    "github",
    "hackernews"
  ],
  "includeLatestPost": true,
  "maxResults": 100
}

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Output Dataset Schema

Every item pushed to the default Apify Dataset is validated against a strict Pydantic model before storage.

Property	Type	Description
profileName	string	Full display name or title of the lead.
handle	string	Normalized social handle (e.g., @pauline-cx.bsky.social, @torvalds).
platform	string	Source network (bluesky, github, hackernews, or web).
bio	string | null	Full biography, headline, or "about" section.
postContent	string | null	Most recent public post, launch announcement, or activity summary.
url	string	Canonical URL to the profile or discussion thread.
company	string | null	Organization or company affiliation when disclosed.
location	string | null	Geographic location reported on the profile.
websiteUrl	string | null	Primary external company or personal website URL.
followersCount	integer | null	Follower count (Bluesky/GitHub) or Karma score (Hacker News).
emails	string[]	Verified public email addresses extracted from bio or page content.
socialLinks	string[]	All external domains and social links tied to the profile.
leadRoleSignals	string[]	Standardized executive tags (Founder / Co-Founder, C-Level Executive, SaaS / B2B Operator, etc.).
matchedQuery	string | null	The exact search query or URL that produced this record.
extractedAt	string	ISO 8601 UTC timestamp of extraction.

Sample Record

{
  "profileName": "Pauline_cx | SaaS founder",
  "handle": "@pauline-cx.bsky.social",
  "bio": "Indie hacker 100k€+ ARR https://feedbask.com , https://iacrea.com, I post about my SaaS journey and share tips to grow a SaaS.",
  "postContent": "What's the correct algo to calculate Stripe MRR from a Stripe API key? I struggle to get the same result from API Key than the MRR I see in the app.",
  "url": "https://bsky.app/profile/pauline-cx.bsky.social",
  "platform": "bluesky",
  "company": null,
  "location": null,
  "websiteUrl": "https://feedbask.com",
  "followersCount": 913,
  "emails": [],
  "socialLinks": [
    "https://feedbask.com",
    "https://iacrea.com",
    "https://paulinecx.beehiiv.com/"
  ],
  "leadRoleSignals": [
    "Founder / Co-Founder",
    "SaaS / B2B Operator"
  ],
  "matchedQuery": "SaaS founder",
  "extractedAt": "2026-10-31T22:38:18.286407+00:00"
}

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Integration Patterns

1. Clay.com / Make / n8n Outbound Workflow

1. Trigger: Schedule this Actor daily or trigger via webhook from Clay/n8n with your target ICP keywords.
2. Filter: Keep records where leadRoleSignals contains Founder / Co-Founder or C-Level Executive and websiteUrl is not null.
3. Personalize: Pass bio and postContent to your LLM prompt to reference the prospect's exact recent post in the first line of your email.

2. Python SDK Execution

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("kleioks/b2b-social-leads-scraper").call(
    run_input={
        "searchQueries": ["SaaS founder", "AI infrastructure"],
        "platforms": ["bluesky", "github"],
        "includeLatestPost": True,
        "maxResults": 50,
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['profileName']} ({item['handle']}) -> {item['websiteUrl']}")

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Performance & Resource Profile

• Architecture: Pure asynchronous HTTP/2 (httpx) + Pydantic v2 validation. Zero headless browser overhead.
• Recommended Memory: 256 MB (processes ~50–100 enriched profiles in under 5 seconds).
• Deduplication: Built-in cross-query deduplication by platform + handle.

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No-Code, Clay, n8n & AI Agent (MCP) Integrations

1. Clay.com Founder & Developer Lead Enrichment

1. Trigger kleioks/b2b-social-leads-scraper from Clay with target bio queries ("SaaS founder", "CTO", "building in public", "DevTools").
2. Feed the extracted extractedEmail, websiteUrl, company, and postContent columns directly into your Clay waterfall or AI email writer to reference the prospect's latest open-source commit or social post.

2. n8n & Make.com Automated Community Lead Gen

Connect the Apify Node in n8n or Make.com to poll Hacker News (Ask HN / Show HN), Bluesky, and GitHub daily. Filter records where extractedEmail != null or intentSignals is non-empty, and push qualified leads straight into HubSpot, Pipedrive, or Attio.

3. Model Context Protocol (MCP) for Claude, Cursor & AI Agents

Equip Claude Desktop, Cursor, or custom AI sales agents with live social lead discovery via the official Apify MCP server:

{
  "mcpServers": {
    "apify-social-leads": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--actors",
        "kleioks/b2b-social-leads-scraper"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
      }
    }
  }
}

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Frequently Asked Questions (FAQ)

How can I scrape B2B founder and developer leads without LinkedIn rate limits?

Tech founders, CTOs, and indie hackers are increasingly active on Bluesky, GitHub, and Hacker News, where their biographies, personal domains (websiteUrl), company affiliations, and public contact emails are accessible via open JSON APIs without account logins or cookie rotation.

Does this scraper extract emails from custom domains and landing pages?

Yes. In addition to scanning social profiles on Bluesky, GitHub, and Hacker News, passing any company or profile URLs in targetUrls triggers an asynchronous HTML + OpenGraph + mailto: parser that extracts public business emails and social handles.

What is the compute cost per 1,000 leads?

Because all requests use lightweight asynchronous HTTP/2 (httpx) inside a 128 MB–256 MB container, extracting 1,000 profiles consumes less than $0.03 in Apify Compute Units.

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Complete B2B Intelligence Suite by Kleioks

Combine this Actor with our specialized B2B data engines on the Apify Store to build end-to-end GTM, RevOps, and market research pipelines:

Actor	Primary B2B Use Case	Store Link
B2B Social Leads & Intent Extractor	Discover SaaS founders, developers & decision-makers across Bluesky, GitHub & Hacker News	Open on Apify Store
Google Maps B2B Lead Machine	High-speed local business lead extractor (phone, website, rating & missing-website signals)	Open on Apify Store
Multi-ATS Career Jobs API	Track real-time hiring intent & tech-stack signals across Greenhouse, Lever, Ashby & Workable	Open on Apify Store
Reddit B2B Buying Intent Scraper	Monitor competitor churn, software recommendations & high-intent buyer threads on Reddit	Open on Apify Store
Influencer & Creator Discovery API	Extract TikTok, Instagram & YouTube creator profiles, engagement rates & verified PR emails	Open on Apify Store
Real Estate Market Intelligence API	Normalized property listings, automated price/m² valuation, DPE ratings & agency contacts	Open on Apify Store