Google Image Search Results & Metadata Scraper: MCP config, n8n workflow and API

One dataset row per image with original/thumbnail provenance, dimensions when stated, source page metadata, stable image ID and a labelled engine. Per-query completeness telemetry is in the SUMMARY key-value record.

Fastest route, in Claude Code:

claude mcp add --transport http google-image-search-results-and-metadata-scraper "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/google-image-search-results-and-metadata-scraper"

One click, signs in with Apify on first use:

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,nimbryxo-studio/google-image-search-results-and-metadata-scraper" --name google-image-search-results-and-metadata-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 runStartResultsRun 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,nimbryxo-studio/google-image-search-results-and-metadata-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

claude mcp add --transport http google-image-search-results-and-metadata-scraper "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/google-image-search-results-and-metadata-scraper"

Run the command in your project folder. Add --scope user to make it available in every project. Full Claude Code 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
  • nimbryxo-studio--google-image-search-results-and-metadata-s-d762runs 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 workflowgoogle-image-search-results-and-metadata-scraper.n8n.json

Actor on Apify
{
  "name": "Google Image Search Results & Metadata Scraper to n8n only",
  "nodes": [
    {
      "id": "08871cda-fadb-4a2a-a46c-a7434bda9293",
      "name": "Run by hand",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "parameters": {}
    },
    {
      "id": "eb949eda-0991-4d6c-a7e8-8dc17a0f2ffb",
      "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": "152a66e6-65cb-4b11-aa33-5604993f431b",
      "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/nimbryxo-studio~google-image-search-results-and-metadata-scraper/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\n  \"queries\": [\n    \"Alfons Mucha\"\n  ],\n  \"maxResults\": 3,\n  \"minWidth\": 0,\n  \"minHeight\": 0,\n  \"country\": \"US\",\n  \"language\": \"en\",\n  \"safeSearch\": \"active\",\n  \"googleOnly\": false,\n  \"enableFallback\": true\n}",
        "options": {
          "timeout": 310000
        }
      },
      "notes": "Actor: nimbryxo-studio/google-image-search-results-and-metadata-scraper. Select a Header Auth credential: name Authorization, value Bearer + your Apify token. Edit the JSON body to change the input.",
      "notesInFlow": false
    },
    {
      "id": "60616bb2-b7f2-49d8-ab32-88c1545b9b6f",
      "name": "Setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        0,
        -370
      ],
      "parameters": {
        "content": "## Google Image Search Results & Metadata Scraper\n\nSource: [nimbryxo-studio/google-image-search-results-and-metadata-scraper](https://apify.com/nimbryxo-studio/google-image-search-results-and-metadata-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/nimbryxo-studio~google-image-search-results-and-metadata-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["Alfons Mucha"],"maxResults":3,"minWidth":0,"minHeight":0,"country":"US","language":"en","safeSearch":"active","googleOnly":false,"enableFallback":true}'

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

{
  "queries": [
    "Alfons Mucha"
  ],
  "maxResults": 3,
  "minWidth": 0,
  "minHeight": 0,
  "country": "US",
  "language": "en",
  "safeSearch": "active",
  "googleOnly": false,
  "enableFallback": true
}

FieldTypeWhat it does
queries array One or more image search queries. Each query is searched independently. Google operators such as site:, quoted phrases and -exclusions are passed through. The legacy single query key is still accepted by the actor…
maxResults integer Maximum number of image rows to return for each query. Google Images usually runs out around 300-400 results for a query; this is a ceiling, not a guarantee.
minWidth integer Drop images narrower than this many pixels. Rows without published dimensions are dropped when this is set. 0 disables the filter.
minHeight integer Drop images shorter than this many pixels. Rows without published dimensions are dropped when this is set. 0 disables the filter.
country string (264 options) Two-letter country used for Google's gl parameter (and Bing's cc parameter). Local sites rank higher in local results.
language string (187 options) Interface and result language used for Google's hl parameter (and Bing's setlang parameter).
safeSearch string (2 options) Google SafeSearch level. 'active' filters explicit images; 'off' does not.
imageSize string (11 options) Google Images size filter. The MP values are minimum megapixels. Bing fallback applies the nearest size category and enforces the exact MP floor locally when dimensions are known.
imageColor string (16 options) Google Images color filter. 'black_and_white' is grayscale; 'transparent' looks for a transparent background.
imageType string (6 options) Google Images type filter: photographs, faces, clip art, line drawings or animated images.
fileType string (8 options) Only images in this format. Google applies this server-side; Bing fallback applies it to the image URL extension locally.
timeRange string (6 options) Only images Google found within this period. Bing fallback maps 'hour' to its 24-hour window.
usageRights string (5 options) Google's usage-rights labels. These are Google's labels, not a legal guarantee; check the licence on the source page before reuse.
googleOnly boolean When true, a failed or empty Google search fails that query with a clear status instead of using another engine. The default is false so legacy saved tasks keep working; set this true for a strict Google-only contract.
enableFallback boolean When googleOnly is false, allow labelled Bing Images and then DuckDuckGo Images. Every fallback row carries engine, isFallback=true and fallbackReason.

What your agent receives

Each run returns a list of records. The Actor publishes 29 fields, starting with page, engine, retrievalMethod, isFallback.

FieldWhat it holdsFormat
queryQuerytext
positionPositionnumber
pagePagenumber
engineEnginetext
retrievalMethodMethodtext
isFallbackFallbackboolean
fallbackReasonFallback reasontext
searchUrlSearch URLtext
fetchedAtFetched attext
imageIdImage IDtext
19 more fields
FieldWhat it holdsFormat
imageUrlImage URLtext
imageUrlTypeURL typetext
isCrawlerOnlyCrawler onlyboolean
hasOriginalHas originalboolean
imageWidthWidthnumber
imageHeightHeightnumber
aspectRatiowidth divided by height, rounded to three decimalsnumber
orientationlandscape, portrait or square, derived from the stated dimensionsstring
fileFormatImage format derived from the URL extension, when knownstring
thumbnailUrlURL of the engine's cached thumbnailstring
thumbnailWidthThumbnail width in pixels, when the engine states itinteger
thumbnailHeightThumbnail height in pixels, when the engine states itinteger
titleTitletext
sourcePageTitleTitle of the source page containing the imagestring
originLegacy field: domain of the source page, or of the image host when no page is knownstring
sourceDomainSource domaintext
siteNameSite name the engine displays, or the source domain when no display name is availablestring
contentUrlURL of the web page containing the imagestring
googleUrlGoogle imgres reference URL, when the row came from Googlestring

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.mdgoogle-image-search-results-and-metadata-scraper/SKILL.md

---
name: google-image-search-results-and-metadata-scraper
description: "One dataset row per image with original/thumbnail provenance, dimensions when stated, source page metadata, stable image ID and a labelled engine. Per-query completeness telemetry is in the SUMMARY key-value record. Runs the Apify Actor nimbryxo-studio/google-image-search-results-and-metadata-scraper. Use when the user needs Google Search data with fields such as query, position, page, engine, retrievalMethod, isFallback 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: "nimbryxo-studio/google-image-search-results-and-metadata-scraper"
  store-url: "https://apify.com/nimbryxo-studio/google-image-search-results-and-metadata-scraper"
---

# Google Image Search Results & Metadata Scraper

Use this skill to fetch Google Search data with the Apify Actor `nimbryxo-studio/google-image-search-results-and-metadata-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 |
| --- | --- | --- |
| `queries` | array | One or more image search queries. Each query is searched independently. Google operators such as site:, quoted phrases and -exclusions are passed through. The legacy single `query` key is still accepted by the actor code. |
| `maxResults` | integer | Maximum number of image rows to return for each query. Google Images usually runs out around 300-400 results for a query; this is a ceiling, not a guarantee. |
| `minWidth` | integer | Drop images narrower than this many pixels. Rows without published dimensions are dropped when this is set. 0 disables the filter. |
| `minHeight` | integer | Drop images shorter than this many pixels. Rows without published dimensions are dropped when this is set. 0 disables the filter. |
| `country` | string | Two-letter country used for Google's gl parameter (and Bing's cc parameter). Local sites rank higher in local results. |
| `language` | string | Interface and result language used for Google's hl parameter (and Bing's setlang parameter). |
| `safeSearch` | one of `active`, `off` | Google SafeSearch level. 'active' filters explicit images; 'off' does not. |
| `imageSize` | string | Google Images size filter. The MP values are minimum megapixels. Bing fallback applies the nearest size category and enforces the exact MP floor locally when dimensions are known. |
| `imageColor` | string | Google Images color filter. 'black_and_white' is grayscale; 'transparent' looks for a transparent background. |
| `imageType` | one of `photo`, `face`, `clipart`, `lineart`, `animated` | Google Images type filter: photographs, faces, clip art, line drawings or animated images. |
| `fileType` | one of `jpg`, `png`, `gif`, `bmp`, `svg`, `webp`, `ico` | Only images in this format. Google applies this server-side; Bing fallback applies it to the image URL extension locally. |
| `timeRange` | one of `hour`, `day`, `week`, `month`, `year` | Only images Google found within this period. Bing fallback maps 'hour' to its 24-hour window. |
| `usageRights` | one of `free_to_use_or_share`, `free_to_use_or_share_commercially`, `free_to_use_share_or_modify`, `free_to_use_share_or_modify_commercially` | Google's usage-rights labels. These are Google's labels, not a legal guarantee; check the licence on the source page before reuse. |
| `googleOnly` | boolean | When true, a failed or empty Google search fails that query with a clear status instead of using another engine. The default is false so legacy saved tasks keep working; set this true for a strict Google-only contract. |

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

```json
{
  "queries": [
    "Alfons Mucha"
  ],
  "maxResults": 3,
  "minWidth": 0,
  "minHeight": 0,
  "country": "US",
  "language": "en",
  "safeSearch": "active",
  "googleOnly": false,
  "enableFallback": true
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~google-image-search-results-and-metadata-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/nimbryxo-studio~google-image-search-results-and-metadata-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: `query`, `position`, `page`, `engine`, `retrievalMethod`, `isFallback`, `fallbackReason`, `searchUrl`, `fetchedAt`, `imageId`, `imageUrl`, `imageUrlType`, `isCrawlerOnly`, `hasOriginal`, `imageWidth`, `imageHeight`, `aspectRatio`, `orientation`, `fileFormat`, `thumbnailUrl`.

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/google-image-search-results-and-metadata-scraper/SKILL.md, or .claude/skills/google-image-search-results-and-metadata-scraper/SKILL.md in a project.
  • Codex and other agents: ~/.agents/skills/google-image-search-results-and-metadata-scraper/SKILL.md, or .agents/skills/google-image-search-results-and-metadata-scraper/ in a project.
  • Or let the skills CLI place it for your agent: npx skills add https://recipeforagents.com --skill google-image-search-results-and-metadata-scraper
  • Set APIFY_TOKEN in the agent's environment.

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

Questions

How do I connect Google Image Search Results & Metadata Scraper to Claude?

In Claude Code run: claude mcp add --transport http google-image-search-results-and-metadata-scraper "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/google-image-search-results-and-metadata-scraper". In Claude Desktop or claude.ai add a custom connector with the URL https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/google-image-search-results-and-metadata-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 Google Image Search Results & Metadata 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 Google Image Search Results & Metadata 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, nimbryxo-studio--google-image-search-results-and-metadata-s-d762. Apify's MCP server listed them for this exact URL on 2026-11-11.