ProspectingConnector
Apify
Run any of Apify's hosted scrapers, Google Maps, LinkedIn, Amazon and more, and read their output from Claude or ChatGPT through Tulina's MCP server.
Official site: apify.com
What it can do
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Run pre-built scrapers from the Apify Store and read their output
The value here is breadth, not depth — thousands of pre-built scrapers already maintained against whatever site they target, rather than building and maintaining one yourself. It's read-only against each scraper's own output shape, and two different scrapers for the same kind of site can return different fields, so what comes back depends on which one ran.
What is an Apify MCP server?
Tulina's own MCP server, the same one every connector in this catalogue runs through. Pick a pre-built scraper from the Apify Store and run it, a Google Maps census, a LinkedIn search, an Amazon listing pull, and read its output in Claude or ChatGPT without opening Apify's console or matching each scraper's own field shape by hand.
Why through Tulina
The connection was never the hard part.
Most systems now publish their own way for a model to reach them, and that is good: it is what Tulina connects to. The hard part is deciding who may use it, what it is allowed to return, and what the model knows before it asks.
The keys stay in one place
YouTeamOrganisation
Connect Apify once. The credential is encrypted in a vault, never held in clear, and never pasted into a chat or a workflow file. A person uses their own key where they have one, their team's where they do not, the organisation's after that, so nobody is blocked and nobody holds more access than they need. Revoke it once and everything running on it stops.
What leaves is filtered before it leaves
fields droppedmasked or hashedpseudonymised
Roles decide who can reach Apify at all. Beyond that, a policy on the connector itself decides what comes back. The data is minimised at the source rather than after it has already reached a model.
Every call is on the record
whatwhowhen
Runs are logged for the organisation. That is what makes an automated action reviewable after the fact, and it is what a security review asks for first.
The run starts knowing your company
namingkey accountsdecisions
A direct connection gives a model access. It does not tell it how your company names things, which accounts matter, or what was decided last quarter. Tulina carries that across every tool, so the same request against Apify returns something usable instead of something generic.
Processes that run on Apify
Brief every cold call before it starts
A cold calling script opener for every account on the list, written from a dated signal and the lead's public words, saved on the record before anyone dials.
5 steps →Build a target list from a sentence
AI lead generation from one sentence: companies sourced and scored on dated signals, contacts verified, checked against your CRM and staged as a campaign.
6 steps →Find buyers engaging with competitors
Everyone who engages with a competitor's posts gets found, scored against your ICP, enriched, and staged for outreach with a human approving the list.
5 steps →Revive deals that went cold
Deals lost more than 90 days ago come back with fresh signals, contacts checked for job moves, and the features they asked for that have since shipped.
6 steps →Social listening to qualified leads
Every morning, competitor-post engagers and companies reading your site are matched to the CRM, qualified on your ICP, ranked by intent and handed to their rep.
7 steps →
