Apify Yandex Image Search Api logo

Apify Yandex Image Search Api

Organization
apify
apify-yandex-image-search-api

Search the Yandex Images vertical and get full-size image URLs as structured JSON with the Apify Yandex Search Scraper Actor (johnvc/Scrape-Yandex). A yandex image search api for agents and pipelines. One text query returns image results with the original full-size image URL, hosting page link, thumbnail, and source, filtered by image type, color, orientation, file type, exact size, site, and recency. Use when the user wants a yandex image search api or yandex images api, wants to search Yandex Images programmatically, collect image datasets with full-size URLs, source images from Russian-language sites, or filter image results by color, size, or license-friendly site. Pay-per-page billing, MCP-ready for Claude and other AI agents.

Overview

Publisherapify
Repositoryawesome-skills
Skill nameapify-yandex-image-search-api
Stars
281
Forks
92
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by apify on GitHub. Read the source before you install it.

Installation

Install the Apify Yandex Image Search Api AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/apify/awesome-skills/tree/main/skills/apify-yandex-image-search-api
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/apify/awesome-skills.git /tmp/awesome-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-skills/skills/apify-yandex-image-search-api .claude/skills/apify-yandex-image-search-api
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Apify Yandex Image Search Api in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Apify Yandex Image Search Api on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Apify Yandex Image Search Api is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Yandex Image Search API: Full-Size Image URLs as JSON

A Yandex image search API built on the Yandex Images vertical. One text query returns structured image results: the original full-size image URL, the page hosting it, a thumbnail, and the source, with filters for type, color, orientation, file type, exact dimensions, site, and recency.

When to use this skill

  • The user wants a "Yandex image search API" or "Yandex images API".
  • They want to search Yandex Images programmatically and get full-size image URLs rather than thumbnails.
  • They are collecting an image dataset (by topic, color, orientation, or exact size) for research, ML, or content work.
  • They want images hosted on a specific site, or only recent images.

Not for: finding where a known image appears on the web (use the Yandex Reverse Image Search Actor), Google Images (use the Google Images API Actor), or plain web results (use the Yandex search API skill).

What you get (one dataset item per page, tagged item_type "image_search")

Each dataset item is one page of the Images vertical, tagged item_type "image_search", holding an image_results array of about 30 rows per page. Per image row: original (the full-size image URL), link (the hosting page), thumbnail, title, source, size, snippet, position. Each item also carries page metadata (total_results_found, page_number, pages_processed).

Prerequisites

The Actor

Run it with the Apify CLI

Basic image search, two pages:

bash
apify actors call "johnvc/Scrape-Yandex" -i '{"text":"aurora borealis","include_image_search":true,"include_organic_results":false,"max_pages":2}' \
  --json \
  --user-agent apify-awesome-skills/apify-yandex-image-search-api \
  2>/dev/null

Filtered: recent, horizontal photos from one site:

bash
apify actors call "johnvc/Scrape-Yandex" -i '{"text":"moscow skyline","include_image_search":true,"include_organic_results":false,"image_type":"photo","image_orientation":"horizontal","image_recent":true,"image_site":"commons.wikimedia.org","max_pages":2}' \
  --json \
  --user-agent apify-awesome-skills/apify-yandex-image-search-api \
  2>/dev/null

Every call carries the three flags this repo expects: --json, --user-agent apify-awesome-skills/apify-yandex-image-search-api, and 2>/dev/null.

Run it from Claude or another AI agent (MCP)

The Actor is MCP-ready. Add the hosted server URL:

https://mcp.apify.com/?tools=actors,docs,johnvc/Scrape-Yandex

Then ask, for example: "Search Yandex Images for red vintage bicycles, photos only, and give me the full-size URLs with their hosting pages." MCP setup docs: https://docs.apify.com/platform/integrations/mcp

Workflow

  1. Fetch the current input schema with apify actors info "johnvc/Scrape-Yandex" --input --json --user-agent apify-awesome-skills/apify-yandex-image-search-api 2>/dev/null (read taggedBuilds.latest.build.inputSchema), then build the query. text is required. Set include_image_search true; turn include_organic_results false unless you also want the web SERP in the same run.
  2. Apply filters. image_type (photo, clipart, and so on), image_color, image_orientation, image_file_type, exact image_width and image_height, image_site (one hosting site), image_recent (fresh images only).
  3. Bound the volume. max_pages (default 2) is the cost driver.
  4. Estimate cost, then confirm with the user if the run is large. See references/gotchas.md.
  5. Run the Actor, then read the completed run’s defaultDatasetId into DATASET_ID and fetch its rows with apify datasets get-items "$DATASET_ID" --format json --user-agent apify-awesome-skills/apify-yandex-image-search-api 2>/dev/null. Filter the dataset to item_type = "image_search", and read each item's image_results array (original is the full-size URL, link the hosting page). Download files yourself only where the hosting page's license allows it.

Inputs

  • text (string, required): the image search query
  • include_image_search (boolean): turn the Images vertical on
  • image_type (enum, 6), image_color (enum, 12), image_orientation (enum, 4), image_file_type (enum, 4)
  • image_width / image_height (integers, exact size), image_site (string), image_recent (boolean)
  • yandex_domain, lang, lr (market targeting), max_pages (default 2)

Cost

Billing is a small one-time start fee per run plus a per-page fee, so cost is roughly proportional to max_pages. A default two-page image run costs well under a dollar; live prices and thresholds are in references/gotchas.md.

Honest limits

  • Result URLs point at third-party image files; hotlinks can rot, so persist what you need (where licensing allows) rather than relying on the URLs long-term.
  • Licensing is your responsibility: the Actor returns what Yandex Images lists; it does not check usage rights.
  • Filter combinations can be sparse; strict size plus color plus site filters may return few or no rows.

Troubleshooting

  • No image rows: confirm include_image_search is true, filter items on item_type = "image_search", and read the nested image_results array (results are not flat rows).
  • Too few results: relax filters one at a time, starting with exact image_width/image_height.
  • Wrong-market images: set yandex_domain, lang, and lr together.

See references/gotchas.md for cost guardrails and error recovery, and references/actor-index.md for the Actor routing table.

Related image and Yandex Actors

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Apify Yandex Image Search Api AI skill do?

Search the Yandex Images vertical and get full-size image URLs as structured JSON with the Apify Yandex Search Scraper Actor (johnvc/Scrape-Yandex). A yandex image search api for agents and pipelines. One text query returns image results with the original full-size image URL, hosting page link, thumbnail, and source, filtered by image type, color, orientation, file type, exact size, site, and recency. Use when the user wants a yandex image search api or yandex images api, wants to search Yandex Images programmatically, collect image datasets with full-size URLs, source images from Russian-l...

Why use Apify Yandex Image Search Api on TypingMind?

Because you install it once and use it with any model. Apify Yandex Image Search Api is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Apify Yandex Image Search Api in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/apify/awesome-skills/tree/main/skills/apify-yandex-image-search-api. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Apify Yandex Image Search Api?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Apify Yandex Image Search Api?

As many as you like. As long as a model supports skills, you can use Apify Yandex Image Search Api with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Apify Yandex Image Search Api AI skill free?

Yes. It is published on GitHub by apify under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇