Lead Generation

When: User wants business contacts, emails, or phone numbers for businesses in a specific location.

Pipeline

1. Find businesses -> compass/crawler-google-places
   • Key input: searchStringsArray, locationQuery, maxCrawledPlaces
2. Enrich with contacts -> compass/enrich-google-maps-dataset-with-contacts
   • Pipe: results[].url -> startUrls (or pass the dataset ID directly)
   • Key input: datasetId (from step 1), maxRequestsPerCrawl

Output fields

Step 1: title, address, phone, website, categoryName, totalScore, reviewsCount, url Step 2: emails[], phones[], socialLinks, linkedInUrl, twitterUrl

Gotcha

Google Maps results vary by language and location. Set language: "en" explicitly. Also set locationQuery to a specific city/region, not just a country.

B2B prospect discovery via LinkedIn

When: User wants to find professionals by role, company, or industry.

Pipeline

1. Search profiles -> harvestapi/linkedin-profile-search
   • Key input: keyword, location, title, limit
2. Enrich with details -> harvestapi/linkedin-profile-scraper
   • Pipe: results[].profileUrl -> urls
   • Key input: urls, includeEmail (set to true for email discovery)

Output fields

Step 1: fullName, headline, location, profileUrl, currentCompany Step 2: experience[], education[], skills[], email, phone

Cost estimate

Step 2 with includeEmail: true costs ~$0.01/profile. For 500 profiles, budget ~$5.

Gotcha

LinkedIn Actors are all PPE. Estimate and confirm with user before running at scale.

Sales Navigator bulk lead extraction

When: User wants daily 100-1,000 lead extraction from a Sales Navigator search for outbound sequences.

Pipeline

1. Extract leads -> harvestapi/linkedin-profile-search
   • Key input: searchUrl (Sales Navigator search URL), maxResults, proxy settings
2. Verify emails -> native n8n Hunter.io node or HTTP Request to ZeroBounce API
   • Pipe: results[].email -> email verification input

Output fields

Step 1: fullName, email, companyName, jobTitle, connectionDegree, profileUrl Step 2: result (valid/risky/invalid), score

Cost estimate

harvestapi/linkedin-profile-search is PPE. 1,000 leads at typical rates runs ~$5-10. Confirm before scheduling daily runs.

Gotcha

Sales Navigator URL must be a saved search URL, not a one-time results URL. The URL changes each session unless saved.

SERP-based B2B prospect discovery

When: User wants to find companies matching niche keywords via Google, AI-qualify them against ICP criteria, and push qualified leads to CRM.

Pipeline

1. Find companies -> apify/google-search-scraper
   • Key input: queries (search terms array), maxResultsPerPage, countryCode
2. Crawl company sites -> apify/website-content-crawler
   • Pipe: results[].organicResults[].url -> startUrls
   • Key input: startUrls, maxCrawlDepth (set to 2), maxCrawlPages (set to 5)

Output fields

Step 1: organicResults[].url, organicResults[].title, organicResults[].snippet Step 2: text (clean markdown), url, metadata.title, metadata.description

Gotcha

Pass only company root domains from SERP results into WCC - not individual blog post URLs. Filter organicResults[].url for root domains before piping.

Apollo leads + AI website icebreakers

When: User has an Apollo lead list with company websites and wants personalized cold email icebreakers generated from each company’s web presence.

Pipeline

1. Scrape company sites -> apify/website-content-crawler
   • Key input: startUrls (homepage URLs from Apollo export), maxCrawlDepth (set to 2), maxCrawlPages (set to 5)
2. Generate icebreakers -> AI node (GPT-4o or Claude)
   • Pipe: results[].text -> prompt context per lead
   • Key input: company summary + lead name + role

Output fields

Step 1: text (clean markdown), metadata.title, metadata.description, url Step 2: AI-generated icebreaker string per lead

Gotcha

Some Apollo exports include LinkedIn URLs instead of company websites. Filter the list for http URLs before passing to WCC - LinkedIn blocks crawlers.

Reddit community lead mining

When: User wants to find prospects actively posting problems that their product or service solves in relevant subreddits.

Pipeline

1. Mine subreddit posts -> trudax/reddit-scraper-lite
   • Key input: startUrls (subreddit URLs), searchTerms (problem keywords), maxItems, sort (hot/new/top)
2. Qualify leads -> AI node
   • Pipe: results[].title, results[].body -> qualification prompt
   • Key input: ICP criteria, pain point keywords

Output fields

Step 1: title, body, subreddit, url, score, numberOfComments, createdAt, author Step 2: AI qualification score, extracted contact intent, suggested outreach angle

Gotcha

Reddit usernames are pseudonymous - there is no direct email enrichment path. The output is intent signals and post URLs for manual outreach via Reddit DM or to cross-reference against other platforms.

• references/workflows/lead-generation.md(opens in a new tab)
• Raw file(opens in a new tab)
• apify/agent-skills(opens in a new tab)