# Framer Studios Directory Scraper (`logfabric/framer-studios-directory-scraper`) Actor

Extract public Framer Pro Studio directory metadata. No contact data, emails, phone numbers, social links, or external crawling.

- **URL**: https://apify.com/logfabric/framer-studios-directory-scraper.md
- **Developed by:** [LogFabric](https://apify.com/logfabric) (community)
- **Categories:** Lead generation, SEO tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Framer Studios Directory Scraper

A conservative scraper for public Framer Pro Studio directory metadata.

This Actor reads the public Framer Community Experts page and extracts
metadata for **Pro Studio** (agency/studio-type) profiles only. It is not
a contact scraper and not a lead-enrichment tool.

### What this Actor does

- Fetches the single public listing page
  `https://www.framer.com/community/members/experts/` with CheerioCrawler
  (no browser automation needed — the page is server-rendered).
- Identifies each profile card and reads its visible directory label:
  `Pro Studio` or `Pro Expert`.
- Outputs **Pro Studio profiles only**. `Pro Expert` (individual freelancer)
  cards are detected, counted, and skipped — never written to the dataset.
- Parses profile name, country, and starting price directly from the
  card's own visible text — no detail pages are visited.
- Writes a `RUN_SUMMARY` to the default key-value store.

### What this Actor deliberately does NOT do

- No pagination, and no query-parameter URLs of any kind (Framer's
  `robots.txt` disallows `?budget=`, `?region=`, `?skill=`, `?language=`,
  `?tab=`, `?sort=`, `?query=`, and `?referrer=` — this Actor never
  constructs or requests any of those).
- No detail-page visits (the `Pro Studio`/`Pro Expert` label, name,
  country, and starting price are all already visible on the listing
  card, so detail pages aren't needed for v0).
- No clicking or following Hire / Follow links.
- No crawling of any external website (a studio's own portfolio site,
  if linked, is never visited).
- No browser automation (Playwright) — plain CheerioCrawler only.
- No proxy by default.

It also never extracts, stores, or infers:

- email addresses
- phone numbers
- LinkedIn or other social links
- Hire URLs or Follow URLs
- the card's free-text description (excluded entirely from v0 — some
  descriptions reference brand/client names or self-disclosed location
  detail that's outside the approved field list, so it's simply not
  collected, full stop)

### ⚠️ Known v0 limitation — read before running

**This v0 extracts only the Pro Studio cards visible on the single public
Framer Community Experts listing page. It does not paginate, and the
result count may be small** (a recent verified run found 12 total
profile cards on the page, of which 3 were `Pro Studio` — the rest were
individual `Pro Expert` freelancers, which are intentionally excluded).

This is a deliberate v0 scope decision, not a bug: Framer's listing page
showed no safe, robots.txt-compliant pagination mechanism during
preflight, so rather than guess at an undocumented API or risk crawling
disallowed query-parameter URLs, v0 simply reads the one page that's
confirmed safe to fetch. If Framer's directory grows or exposes a
documented pagination path in the future, that would be a v1 scope
expansion — not assumed here.

### Output limits and cost control

This Actor supports `maxItems` to limit the number of dataset records produced in a run.

The Actor also respects Apify's paid dataset item limit when it is provided by the platform. The effective output limit is the minimum of:

- `maxItems`
- Apify's paid dataset item limit, if present
- the Actor's internal hard cap

This helps keep runs predictable and prevents the Actor from producing more paid dataset items than intended.

### Input

| Field | Type | Default | Notes |
|---|---|---|---|
| `maxItems` | integer | 20 | Capped at 50. Since v0 has no pagination, actual output is bounded by however many Pro Studio cards are on the single listing page — this cap is a ceiling, not a target. |
| `debug` | boolean | `false` | Verbose logging, including per-card parsing detail (raw text, detected type, name/country split, starting price) for the first 5 cards seen. |

See `.actor/input_schema.json`.

### Output

One dataset record per Pro Studio profile:

````

profileName, profileUrl, profileType, country, startingAt,
sourceName, sourceUrl, retrievedAt, found

```

`profileType` will always be `"Pro Studio"` in v0 output (the allowlist
that gates what gets written is currently a single-entry set; see the
`STUDIO_TYPE_ALLOWLIST` comment in `main.js` if a future Framer label
change needs evaluating before being added).

See `sample_output.json` for real field values, including verified
`profileUrl` values, from an actual Apify Cloud run.

### RUN_SUMMARY

Written to the default key-value store at the end of every run:

```

totalItems, requestedMaxItems, sourceUrl, cardsSeen, studiosOutput,
skippedNonStudio, failedPages, warnings, retrievedAt

````

See `storage/key_value_stores/default/RUN_SUMMARY.json` for an example
from a verified Apify Cloud run (12 cards seen, 3 Pro Studio output, 9
Pro Expert skipped, 0 failures, 0 warnings).

A non-empty `warnings` array can include per-card notices such as "No
country suffix matched" — this happens when a profile's country isn't in
the built-in country-name allowlist used to split the glued
"NameCountry" text. It does not fail the run; in that case `profileName`
falls back to the full cleaned text segment and `country` is `null`.

### Compatibility notes

- Requests are sent with standard browser-like headers (`User-Agent`,
  `Accept`, `Accept-Language`, `Referer`) — a conservative, non-evasive
  fix applied after an initial test run. No proxy or fingerprint evasion
  is used.
- Concurrency is capped low (2) and `maxRequestsPerCrawl` is hard-set to
  `1`, since v0 is single-page by design — this isn't just a polite
  default, it's a structural guarantee against accidental pagination.

### Pricing

Intended for **Pay Per Result** pricing on Apify Store, set conservatively
for v0 given the small, single-page result count. No pricing logic is
hard-coded in the Actor itself, and no revenue or earnings outcome is
implied or guaranteed by this listing.

# Actor input Schema

## `maxItems` (type: `integer`):

Maximum number of Pro Studio records to output. Since v0 reads only the single public Experts listing page (no pagination), the actual result count depends on how many Pro Studio cards are currently visible on that page — it will commonly be lower than this cap.
## `debug` (type: `boolean`):

Verbose logging, including per-card parsing detail for the first 5 cards (raw text, detected type, name/country split, starting price).

## Actor input object example

```json
{
  "maxItems": 20,
  "debug": false
}
````

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("logfabric/framer-studios-directory-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("logfabric/framer-studios-directory-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call logfabric/framer-studios-directory-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=logfabric/framer-studios-directory-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Framer Studios Directory Scraper",
        "description": "Extract public Framer Pro Studio directory metadata. No contact data, emails, phone numbers, social links, or external crawling.",
        "version": "0.0",
        "x-build-id": "WPhV6aD4zQmqmurjG"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/logfabric~framer-studios-directory-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-logfabric-framer-studios-directory-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/logfabric~framer-studios-directory-scraper/runs": {
            "post": {
                "operationId": "runs-sync-logfabric-framer-studios-directory-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/logfabric~framer-studios-directory-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-logfabric-framer-studios-directory-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "maxItems": {
                        "title": "Max items",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "Maximum number of Pro Studio records to output. Since v0 reads only the single public Experts listing page (no pagination), the actual result count depends on how many Pro Studio cards are currently visible on that page — it will commonly be lower than this cap.",
                        "default": 20
                    },
                    "debug": {
                        "title": "Debug mode",
                        "type": "boolean",
                        "description": "Verbose logging, including per-card parsing detail for the first 5 cards (raw text, detected type, name/country split, starting price).",
                        "default": false
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```