Crunchbase News & Funding Coverage Scraper: MCP config, n8n workflow and API

Crunchbase News articles with full text, authors, publish/modified dates, categories, tags, media metadata, SEO fields and deterministic funding hints.

Fastest route, in Claude Code:

claude mcp add --transport http crunchbase-news-and-funding-coverage-scraper "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper"

One click, signs in with Apify on first use:

Add to Cursor Add to VS Code

Any other client, one command (writes the config for 25+ agents, including Windsurf, Zed, Cline and Goose):

npx add-mcp "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper" --name crunchbase-news-and-funding-coverage-scraper

Every file on this page is generated from the Actor's published schema: 51 of 51 checks pass (validated, not run)

MCP configs: 7 of 7 (Uses Apify's hosted MCP endpoint over HTTPS; The tools parameter lists exactly the chosen Actors as owner/name; JSON configs parse and use the client's top-level key and the same URL; Codex TOML has a [mcp_servers.<name>] table with url and bearer_token_env_var; CLI commands quote the same URL and use the streamable HTTP transport; One-click install links decode back to the same URL and carry no token; Only placeholders, no real token)
n8n workflow: 11 of 11 (It has a nodes array and a connections object; Every node has a name, type, typeVersion, position and parameters; Node names are unique; Every node type is a known n8n core node (or the Apify node); Every node uses a typeVersion that n8n ships; Every connection points at an existing node; At least one trigger starts the workflow; Every working node is reachable from a trigger; Apify calls use POST and a credential for the token; Actor input matches the Actor's published input schema; No token or credential value is embedded)
long-run workflow: 11 of 11 (It has a nodes array and a connections object; Every node has a name, type, typeVersion, position and parameters; Node names are unique; Every node type is a known n8n core node (or the Apify node); Every node uses a typeVersion that n8n ships; Every connection points at an existing node; At least one trigger starts the workflow; Every working node is reachable from a trigger; Apify calls use POST and a credential for the token; Actor input matches the Actor's published input schema; No token or credential value is embedded)
example input: 5 of 5 (The schema has no required fields; Every input key exists in the published input schema; Every value has the type the schema declares; Every choice field uses one of its published options; Numbers respect the published minimum and maximum)
code snippets: 4 of 4 (curl calls the documented run-sync-get-dataset-items endpoint for this Actor; Python (apify-client 3.x typed Run) and JavaScript use the official apify-client call() then read the run's dataset; Multi-line shell commands continue every line with a backslash; Token read from APIFY_TOKEN, none embedded)
SKILL.md: 13 of 13 (SKILL.md starts with YAML front matter; name is 1-64 lowercase letters, digits and single hyphens; name matches the skill folder name; description is present, at most 1024 characters and has no angle brackets; front matter uses only spec fields; compatibility is at most 500 characters; body has instructions; field descriptions end on whole sentences; no credential values are embedded; the token is read from APIFY_TOKEN; the run command calls this Actor's run-sync endpoint; the example input is valid JSON; the example input matches the published input schema)

What the checks cover

What a run costs

Every run pays a start fee plus a price per result. On the Free plan this Actor's start fee is $0.40 (the start event, $0.10 per GB, times its default 4 GB of memory), $0.12 on Business; results cost $0.99 per 1,000 results (pay per event). Checked 2026-11-12.

Results in one run	Start	Results	Run total
10	$0.40	$0.010	$0.41
100	$0.40	$0.10	$0.50
1,000	$0.40	$0.99	$1.39

Plus Apify platform usage for the run, which the caller pays. A smaller memory setting lowers the start fee if the Actor still finishes. Prices can change; the Store pricing tab is the source of truth.

MCP config

One URL works in every client: https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper. It exposes this Actor as a tool, plus fetch-actor-details so the agent can read the input schema before calling it. Pick your client:

Claude Code configterminal or .mcp.json

Actor on Apify

claude mcp add --transport http crunchbase-news-and-funding-coverage-scraper "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper"

Run the command in your project folder. Add --scope user to make it available in every project. Full Claude Code setup

Claude Desktop configclaude_desktop_config.json

Actor on Apify

{
  "mcpServers": {
    "crunchbase-news-and-funding-coverage-scraper": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--tools",
        "fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}

Easiest: open Customize, then Connectors, choose Add custom connector, paste the server URL (the ChatGPT tab shows it on its own) and sign in to Apify. Full Claude Desktop setup

Cursor config~/.cursor/mcp.json

Actor on Apify

{
  "mcpServers": {
    "crunchbase-news-and-funding-coverage-scraper": {
      "url": "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper",
      "headers": {
        "Authorization": "Bearer ${env:APIFY_TOKEN}"
      }
    }
  }
}

Save as ~/.cursor/mcp.json for every project, or .cursor/mcp.json for one project. Merge with servers you already have. Full Cursor setup

VS Code config.vscode/mcp.json

Actor on Apify

{
  "inputs": [
    {
      "type": "promptString",
      "id": "apify-token",
      "description": "Apify API token",
      "password": true
    }
  ],
  "servers": {
    "crunchbase-news-and-funding-coverage-scraper": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper",
      "headers": {
        "Authorization": "Bearer ${input:apify-token}"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Full VS Code setup

ChatGPT configPlugins > Add custom MCP server

Actor on Apify

https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper

In ChatGPT on the web, open Plugins, select + and choose Add custom MCP server. Full ChatGPT setup

Codex CLI config~/.codex/config.toml

Actor on Apify

[mcp_servers.crunchbase-news-and-funding-coverage-scraper]
url = "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper"
bearer_token_env_var = "APIFY_TOKEN"

Add the block to ~/.codex/config.toml, or .codex/config.toml in a project. Full Codex CLI setup

Gemini CLI configterminal (writes ~/.gemini/settings.json)

Actor on Apify

gemini mcp add -t http -s user -H "Authorization: Bearer $APIFY_TOKEN" crunchbase-news-and-funding-coverage-scraper "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper"

Export APIFY_TOKEN first: the shell expands it and Gemini CLI saves the header, token included, in plain text in ~/.gemini/settings.json (keep that file private). In PowerShell write $env:APIFY_TOKEN instead of $APIFY_TOKEN. Drop -s user to save it in the project's .gemini/settings.json. Full Gemini CLI setup

n8n AI Agent configMCP Client Tool node

Actor on Apify

https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper

Add an AI Agent node, then attach an MCP Client Tool node to its tool input. Full n8n AI Agent setup

Tools your agent gets

Listed by Apify's MCP server 0.21.5 for this exact URL on 2026-11-11 (a tools/list call; nothing was run).

fetch-actor-detailsreads the input schema
get-actor-runchecks a run's status
get-dataset-itemsreads a run's results
get-key-value-store-recordreads a stored record such as a file or summary
abort-actor-runstops a run that is still going
vexaloom-labs--crunchbase-news-and-funding-coverage-scraperruns the Actor and returns its results

n8n workflow

A manual and a daily trigger call the Actor through the HTTP Request node with your Apify token, then hand each record to the destination you pick. The Actor input sits in the request body, already filled with the example below.

Send the records to

Run by hand
Every day
Run Apify Actor

n8n workflowcrunchbase-news-and-funding-coverage-scraper.n8n.json

Actor on Apify

{
  "name": "Crunchbase News & Funding Coverage Scraper to n8n only",
  "nodes": [
    {
      "id": "0562f502-f8ec-4688-ae94-4ff53c162af7",
      "name": "Run by hand",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "parameters": {}
    },
    {
      "id": "71df6952-d8b6-49c2-a4db-bbdf8ba5afbf",
      "name": "Every day",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        0,
        200
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 8
            }
          ]
        }
      },
      "notes": "Activate the workflow to run on this schedule."
    },
    {
      "id": "15eee4be-4ada-45ef-a211-4f626cc35183",
      "name": "Run Apify Actor",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        260,
        100
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/actors/vexaloom-labs~crunchbase-news-and-funding-coverage-scraper/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n  \"includeContent\": false,\n  \"maxItems\": 3\n}",
        "options": {
          "timeout": 310000
        }
      },
      "notes": "Actor: vexaloom-labs/crunchbase-news-and-funding-coverage-scraper. Select a Header Auth credential: name Authorization, value Bearer + your Apify token. Edit the JSON body to change the input.",
      "notesInFlow": false
    },
    {
      "id": "aba7075a-0dfc-492e-a7f9-efb76101547b",
      "name": "Setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        0,
        -370
      ],
      "parameters": {
        "content": "## Crunchbase News & Funding Coverage Scraper\n\nSource: [vexaloom-labs/crunchbase-news-and-funding-coverage-scraper](https://apify.com/vexaloom-labs/crunchbase-news-and-funding-coverage-scraper) on Apify.\n\n1. In **Run Apify Actor**, create a Header Auth credential: name `Authorization`, value `Bearer YOUR_APIFY_TOKEN` with your token.\n2. Click **Execute workflow**. Each record arrives as one n8n item.\n3. Edit the JSON body of **Run Apify Actor** to change the input.\n\nGenerated by recipeforagents.com. Validated, not executed: runs are billed to your Apify account.",
        "height": 340,
        "width": 460,
        "color": 6
      }
    }
  ],
  "connections": {
    "Run by hand": {
      "main": [
        [
          {
            "node": "Run Apify Actor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Every day": {
      "main": [
        [
          {
            "node": "Run Apify Actor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "pinData": {},
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "meta": {
    "templateCredsSetupCompleted": false
  },
  "tags": []
}

Import with Workflows, Import from file, or paste into the canvas. Credentials are not included: you select them after import.

All 7 destination variants pass the same checks at build time. Built-in nodes only, at versions n8n has shipped since 1.80: they import on n8n Cloud and older self-hosted instances without community nodes. Prefer Apify's own node? The verified community node @apify/n8n-nodes-apify runs the same Actor with OAuth sign-in on n8n Cloud.

Runs longer than 5 minutes? The synchronous endpoint answers HTTP 408 after 300 seconds. The long-run variant starts the run, checks it every minute until it ends, then reads its dataset (HTTP Request, If and Stop and Error nodes only).

Download the long-run workflow11 of 11 checks pass, not executed

Call it from code

Run the Actor from a script or your own agent framework with the Apify API. The call waits for the run to finish and returns the records. The input is the example below.

curl

API docs on Apify

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~crunchbase-news-and-funding-coverage-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"includeContent":false,"maxItems":3}'

Install: pip install "apify-client>=3"

Python

API docs on Apify

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run_input = {
    "includeContent": False,
    "maxItems": 3,
}

run = client.actor("vexaloom-labs/crunchbase-news-and-funding-coverage-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run could not be started")
print(run.status, "dataset", run.default_dataset_id)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

Install: npm install apify-client

JavaScript

API docs on Apify

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const input = {
  "includeContent": false,
  "maxItems": 3
};

const run = await client.actor("vexaloom-labs/crunchbase-news-and-funding-coverage-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

Example input

These values come from the Actor's Store prefill and required defaults. Change the search, URL or limit before your first run.

Actor inputinput.json

{
  "includeContent": false,
  "maxItems": 3
}

Field	Type	What it does
`includeContent`	boolean	Include the full article body in the content field. Turn off for a smaller, faster dataset that still includes title, excerpt, authors, taxonomy, media and funding hints.
`maxItems`	integer	Maximum number of articles to return. The Crunchbase News archive currently holds about 8,800 articles.

10 more optional fields on the Store input tab.

What your agent receives

Each run returns a list of records. The Actor publishes 43 fields, starting with id, slug, title, excerpt.

Field	What it holds	Format
`id`	ID	number
`url`	URL	link
`slug`	URL slug	string
`title`	Title	text
`excerpt`	Excerpt	text
`content`	Full article body, HTML stripped (omitted when includeContent is false)	string
`publishedDate`	Published	text
`publishedDateGmt`	Publish date in UTC (ISO 8601)	string
`modifiedDate`	Modified	text
`modifiedDateGmt`	Last modified date in UTC (ISO 8601)	string

30 more fields

Field	What it holds	Format
`authorId`	Numeric ID of the primary author	integer
`authorName`	Author	text
`authorSlug`	Primary author slug	string
`authorUrl`	Primary author archive URL	string
`authorIds`	All author IDs	array
`authorNames`	All author names	array
`authorSlugs`	All author slugs	array
`categoryIds`	Category IDs	array
`categoryNames`	Categories	array
`categorySlugs`	Category slugs	array
`tagIds`	Tag IDs	array
`tagNames`	Tags	array
`tagSlugs`	Tag slugs	array
`featuredImageId`	Featured media ID	integer
`featuredImageUrl`	Image	link
`featuredImageAlt`	Featured image alt text	string
`featuredImageCaption`	Featured image caption, HTML stripped	string
`featuredImageWidth`	Featured image width in pixels	integer
`featuredImageHeight`	Featured image height in pixels	integer
`featuredImageMimeType`	Featured image MIME type	string
`featuredImageThumbnailUrl`	Featured image thumbnail URL	string
`metaDescription`	SEO meta description	string
`canonicalUrl`	Canonical URL declared by the site	string
`keywords`	Keywords declared in the article's Article schema	array
`wordCount`	Words	number
`readingTimeMinutes`	Read (min)	number
`inLanguage`	Article language code	string
`isFeatured`	True when the article is in the Featured category	boolean
`roundTypes`	Round types	array
`fundingAmounts`	Amounts	array

3 more fields in the full output.

Agent skill

A SKILL.md in the open Agent Skills format. It teaches Claude Code, Codex and other skill-aware agents when to call this Actor, how to build the input and how to read the result, using the API directly.

SKILL.mdcrunchbase-news-and-funding-coverage-scraper/SKILL.md

---
name: crunchbase-news-and-funding-coverage-scraper
description: "Crunchbase News articles with full text, authors, publish/modified dates, categories, tags, media metadata, SEO fields and deterministic funding hints. Runs the Apify Actor vexaloom-labs/crunchbase-news-and-funding-coverage-scraper. Use when the user needs Crunchbase data with fields such as id, url, slug, title, excerpt, content and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "vexaloom-labs/crunchbase-news-and-funding-coverage-scraper"
  store-url: "https://apify.com/vexaloom-labs/crunchbase-news-and-funding-coverage-scraper"
---

# Crunchbase News & Funding Coverage Scraper

Use this skill to fetch Crunchbase data with the Apify Actor `vexaloom-labs/crunchbase-news-and-funding-coverage-scraper` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `includeContent` | boolean | Include the full article body in the content field. Turn off for a smaller, faster dataset that still includes title, excerpt, authors, taxonomy, media and funding hints. |
| `maxItems` | integer | Maximum number of articles to return. The Crunchbase News archive currently holds about 8,800 articles. |

Example `input.json` (the Actor's published prefill):

```json
{
  "includeContent": false,
  "maxItems": 3
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/vexaloom-labs~crunchbase-news-and-funding-coverage-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/vexaloom-labs~crunchbase-news-and-funding-coverage-scraper/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `id`, `url`, `slug`, `title`, `excerpt`, `content`, `publishedDate`, `publishedDateGmt`, `modifiedDate`, `modifiedDateGmt`, `authorId`, `authorName`, `authorSlug`, `authorUrl`, `authorIds`, `authorNames`, `authorSlugs`, `categoryIds`, `categoryNames`, `categorySlugs`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.

Claude Code: save it as ~/.claude/skills/crunchbase-news-and-funding-coverage-scraper/SKILL.md, or .claude/skills/crunchbase-news-and-funding-coverage-scraper/SKILL.md in a project.
Codex and other agents: ~/.agents/skills/crunchbase-news-and-funding-coverage-scraper/SKILL.md, or .agents/skills/crunchbase-news-and-funding-coverage-scraper/ in a project.
Or let the skills CLI place it for your agent: npx skills add https://recipeforagents.com --skill crunchbase-news-and-funding-coverage-scraper
Set APIFY_TOKEN in the agent's environment.

Recipes with this Actor

Crunchbase funding news to Slack
Post new Crunchbase News funding stories to Slack as a daily deal-flow feed.
Crunchbase NewsSlack

Troubleshooting

Why does the client say Unauthorized or invalid token?

Every Apify Actor tool needs a signed-in Apify account. Reconnect the server so the OAuth sign-in runs again, or switch to the token variant: an Authorization: Bearer header with an API token from Apify Console, Settings, API and integrations. For a local server the token must be in the server's own env block, not only in your shell.

Source: Apify MCP server README

Why did my agent's tool list change after an update?

Without a tools parameter Apify's server loads its default tool set, which changes between releases. The URLs on this site pin the tools with ?tools=, so the agent always gets the same Actor tool plus fetch-actor-details. Apify's README gives the same advice for production.

Source: Apify MCP server README

What happens when the agent sends input the Actor rejects?

The server answers with the Actor's input schema, so the agent can fix the arguments and call again. The fetch-actor-details tool in every scoped URL lets it read that schema before the first call.

Source: Apify MCP server README

Every fix in one place

Questions

How do I connect Crunchbase News & Funding Coverage Scraper to Claude?

In Claude Code run: claude mcp add --transport http crunchbase-news-and-funding-coverage-scraper "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper". In Claude Desktop or claude.ai add a custom connector with the URL https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/crunchbase-news-and-funding-coverage-scraper and sign in to Apify. The agent then gets one tool for this Actor plus a tool that reads its input schema.

What input does Crunchbase News & Funding Coverage Scraper need?

No field is required by the published input schema. The example on this page uses the Actor's own Store prefill, so it is a sensible first run.

What does Crunchbase News & Funding Coverage Scraper cost to run?

The Apify Store lists $0.99 per 1,000 results (pay per event) for this Actor, checked 2026-11-12. Runs are billed to the Apify account whose token or sign-in the agent uses; Apify platform usage can add to that.

Which tools does the MCP config give my agent?

6 tools: fetch-actor-details, get-actor-run, get-dataset-items, get-key-value-store-record, abort-actor-run, vexaloom-labs--crunchbase-news-and-funding-coverage-scraper. Apify's MCP server listed them for this exact URL on 2026-11-11.

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All Crunchbase Actors in one MCP server

Crunchbase News & Funding Coverage Scraper: MCP config, n8n workflow and API

What a run costs

MCP config

Claude Code configterminal or .mcp.json

Claude Desktop configclaude_desktop_config.json

Cursor config~/.cursor/mcp.json

VS Code config.vscode/mcp.json

ChatGPT configPlugins > Add custom MCP server

Codex CLI config~/.codex/config.toml

Gemini CLI configterminal (writes ~/.gemini/settings.json)

n8n AI Agent configMCP Client Tool node

Tools your agent gets

n8n workflow

n8n workflowcrunchbase-news-and-funding-coverage-scraper.n8n.json

Call it from code

curl

Python

JavaScript

Example input

Actor inputinput.json

What your agent receives

Agent skill

SKILL.mdcrunchbase-news-and-funding-coverage-scraper/SKILL.md

Recipes with this Actor

Crunchbase funding news to Slack

Troubleshooting

Questions

More Crunchbase Actors

Amazon Review Aggregates & Extended History Scraper

Amazon Deals Grid Tracker by Category & Discount

Amazon Multi-Domain Product Price & Detail Scraper

Etsy Product Listings & Shop Research Scraper

Lowe's Price, Stock & Specification Scraper

M.Video Russia Electronics Product & Review Scraper