Implementation BlueprintExecution layer

BrowserAct Directory Lead Scraper Productization (6-8 days)

Turn BrowserAct's prompt-built scrapers into a repeatable lead and pricing data offer for local service clients, with proxy rotation and CAPTCHA handling configured once and reused across accounts. Time: 6-8 days.

By InnovaAI ResearchPublished

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Blueprint

BrowserAct Directory Lead Scraper Productization (6-8 days)

Turn BrowserAct's prompt-built scrapers into a repeatable lead and pricing data offer for local service clients, with proxy rotation and CAPTCHA handling configured once and reused across accounts.

Prerequisites
  • BrowserAct account on the Basic plan ($16/month, 10,000 credits, 10 simultaneous tasks) for build and testing before committing to Essential
  • A pilot client with a named target source (Yelp, Google Maps, or a competitor catalog) and a defined output schema
  • Access to the client's destination system (Google Sheets, CRM, or an n8n/Make/Zapier workspace) for automated handoff
  • Written scope covering which sites are in bounds, refresh cadence, and what happens when a source changes layout
Execution Timeline
  • 1.Create the BrowserAct account and confirm the 200 free signup credits cover initial prompt testing
  • 2.Run two trial agent builds against the pilot client's target directory to gauge selector reliability
  • 3.Record which fields extract cleanly and which need prompt rewording
  • 1.Write the production prompt for the client's lead schema (business name, address, phone, rating, price point)
  • 2.Enable CAPTCHA handling and static proxy assignment on the scraper
  • 3.Test the same prompt against a second source to check portability
  • 1.Configure proxy rotation across the plan's static proxy allowance so repeated runs do not get throttled
  • 2.Set simultaneous task limits to match the Basic plan's 10 concurrent tasks during testing
  • 3.Log failure modes: pagination breaks, lazy-loaded listings, geo-gated results
  • 1.Wire the scraper output into the client's destination via n8n, Make, or Zapier
  • 2.Map scraped fields to the client's CRM or sheet columns and confirm no truncation
  • 3.Schedule the first automated run and verify the payload lands intact
  • 1.Run a full extraction pass and diff results against a manual sample of 50 records
  • 2.Fix prompt drift by tightening field instructions rather than editing selectors by hand
  • 3.Document the scraper's known blind spots for the client handover
  • 1.Package the scraper as a named client asset with a run schedule and owner
  • 2.Write the one-page operating note covering how to trigger a manual run and where output lands
  • 3.Train the client contact on reading the output and flagging bad records
  • 1.Clone the build pattern into a second scraper for a different source to prove repeatability
  • 2.Compare credit consumption per run against the 10,000 monthly allowance
  • 3.Decide whether the account needs the Essential plan ($70/month, 50,000 credits) based on measured burn
  • 1.Hand over the documented scraper set and the operating note
  • 2.Set a 30-day review to check whether site changes broke any field
  • 3.Confirm the retainer scope: refresh cadence, record volume, and support boundary
$16/month on Basic during build, stepping to $70/month Essential or $96/month Advanced (100,000 credits, 40 simultaneous tasks, up to 50 static proxies) once two or more client scrapers run on a schedule; setup labor of roughly 16 hours is the dominant cost.6-8 days
ROI Logic

A single BrowserAct build at $16/month on Basic carries a client setup fee in the $1,800 range, so the tool cost is a rounding error against the 16 hours of configuration labor that the fee actually prices. Once a scraper is live, the recurring cost is credit burn against the $70 or $96 tier while the retainer covers refresh cadence and breakage checks, which is where the margin sits. The constraint is that BrowserAct publishes no agency or white-label tier, so multi-client work runs through shared account credits rather than per-client billing.

Deliverables
  • Two documented BrowserAct scrapers with production prompts, proxy settings, and CAPTCHA handling configured
  • A field mapping sheet connecting scraped output to the client's CRM or Google Sheets columns
  • An n8n, Make, or Zapier automation that triggers the scraper on schedule and delivers structured data
  • A one-page operating note covering manual run triggers, output location, and known source blind spots
  • A credit consumption baseline per run used to justify the plan tier at renewal
Definition of Done

The client's scraper runs on schedule through the automation, delivers the agreed fields without manual intervention, and the documented operating note lets the client trigger and read a run without agency involvement.

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