Find and score leads from social post engagers
Scrape a post, enrich the leads, score them, draft the DMs, save it as a skill. Task: The author uses Claude Cowork with Apify and Apollo connectors to scrape social post engagers, enrich their contact data, score them against an Ideal Customer Profile (ICP), and draft personalized DMs. The workflow requires the user to provide business context and ICP details, then manually approve steps like credit spending and final skill saving. Human involvement is critical for reviewing scraped lists, confirming Apollo credit usage, and validating outreach drafts before sending.; tools: Claude Cowork. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include accounts for Claude Cowork, Apify, and Apollo, with free tiers available for initial testing. Apollo consumes credits for enrichment, requiring user approval before spending. The workflow depends on the availability of suitable Apify actors for the target social platform and accurate ICP definitions for scoring..
Tools
Published on Agent Work Atlas:
Overview
Scrape a post, enrich the leads, score them, draft the DMs, save it as a skill
Workflow
The author uses Claude Cowork with Apify and Apollo connectors to scrape social post engagers, enrich their contact data, score them against an Ideal Customer Profile (ICP), and draft personalized DMs. The workflow requires the user to provide business context and ICP details, then manually approve steps like credit spending and final skill saving. Human involvement is critical for reviewing scraped lists, confirming Apollo credit usage, and validating outreach drafts before sending.
Reported result
The author reports a 48% response rate for the drafted DMs and claims up to 400 signups per live event from this channel. These metrics are self-reported by the author and not independently verified. No specific failure rates or data quality issues are mentioned in the source.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include accounts for Claude Cowork, Apify, and Apollo, with free tiers available for initial testing. Apollo consumes credits for enrichment, requiring user approval before spending. The workflow depends on the availability of suitable Apify actors for the target social platform and accurate ICP definitions for scoring.
Try it
Act as a GTM agent builder. I want to create a reusable skill in Claude Cowork to find leads from social posts. Inputs: - Target Post URL: [replaceable input] - Business Context & ICP: [replaceable input] - Offer/Event to promote: [replaceable input] Steps: 1. Connect Apify and Apollo to Claude Cowork. 2. Load my business context and ICP into the workspace. 3. Use Apify to scrape all commenters from the target post, extracting their profile URLs and comments. 4. Pause and show me the scraped list for approval. 5. Use Apollo to enrich these profiles with emails and roles. Stop and ask for confirmation before spending any credits. 6. Score each lead 0-5 based on my ICP. Filter for scores 4-5. 7. Draft short, direct DMs for high-scoring leads, referencing their specific comments and inviting them to my offer. 8. Show me the drafts for review. Do not send them. 9. If approved, save this entire workflow as a reusable skill named 'Social Lead Scorer'. Quality Check: Ensure DMs sound human and avoid AI clichés. Verify that no credits were spent without my explicit approval. If Apify fails to scrape, report the error and suggest an alternative actor.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.