Yandex Reverse Image Scraper: Яндекс Картинки

Trace a whole batch of images across Yandex in one run Give the Actor a list of image URLs and get back every match Yandex Images finds for each one: visually similar photos, the pages that use the image, best-guess tags, other-size copies, and shopping matches when they exist.

📦 A batch, not one at a time Feed a list of image URLs and every result row stays tagged to its source image

🔎 Five kinds of matches Similar images, matching pages, tags, other sizes, and shopping results in one dataset

🔓 No login, clean output No account and no sign-in, just structured rows ready to export

✅ Only real data Missing values are left out, never a fake similarity score or filler

Yandex Reverse Image Scraper runs reverse image search on Yandex Images (Яндекс Картинки), Russia's largest search engine, for as many images as you want in a single run.

🔍 What does it do?

You hand the Actor a list of public image URLs. For each image, it asks Yandex Images what it knows about that picture and returns a clean row for every match it finds. Matches come in five categories:

• Similar images: other pictures that look like your image.
• Matching pages: web pages that actually use your image, with the page title, domain, and a short text snippet.
• Text tags: Yandex's best-guess labels for what the image shows.
• Other sizes: copies of the same image at different resolutions, grouped by small, medium, and large.
• Shopping matches: product listings tied to the image, when Yandex has them.

Every row is stamped with the input image it came from, so a run over 50 images stays easy to sort and attribute. The output is structured data you can download as JSON, CSV, or Excel, or pull straight into your own pipeline.

Most reverse image tools make you check pictures one at a time. This Actor takes the whole list at once, which is the difference between a coffee break and an afternoon when you have hundreds of images to trace.

🧑‍💼 Why use it?

Brand protection teams trace where a product photo shows up across the web to find counterfeit listings and unlicensed resellers, image by image, at scale.

E-commerce sellers check whether their own product shots have been lifted onto competitor or knockoff pages, without pasting each URL into a search box by hand.

OSINT analysts and fact-checkers verify where an image first appeared and which pages reuse it, building provenance for an investigation from real match data.

SEO and stock-photo teams map every page using a given image, so they can chase attribution, backlinks, or licensing.

Yandex often surfaces matches that Western reverse image engines miss, especially across Russian and CIS websites, so it is a strong second source when you need coverage beyond the usual tools.

🚀 How to use it

STEP 1 Paste your image URLs Add one image link or a long list. One run covers them all.

STEP 2 Pick what to pull Toggle the match types you want and cap how many results per image.

STEP 3 Export the matches Similar images, pages, tags, and sizes land in your dataset, ready to download.

1. Open Yandex Reverse Image Scraper on the Apify platform and click Try for free or Start.
2. Paste one or more public image URLs into Image URLs.
3. Turn the match categories you want on or off, and set a Max results per image cap if you want to keep runs small.
4. Click Start, then download your results as JSON, CSV, or Excel once the run finishes.

You can also schedule the Actor to run daily or weekly, so a watched set of images stays monitored without any manual work.

⚙️ Input

Field	Type	Required	Description
Image URLs	array of URLs	Yes	One or more public image links to search on Yandex Images. Each URL is searched separately and every result row is tagged with its source image.
Max results per image	integer	No	Cap on how many matches to return per category, per image. Leave unset to return everything Yandex reports.
Include similar images	boolean	No	Return visually similar images for each input image.
Include matching pages	boolean	No	Return web pages that use the image, with page title, domain, and snippet.
Include tags	boolean	No	Return Yandex's best-guess text labels for the image.
Include other sizes	boolean	No	Return copies of the image at other resolutions, grouped small, medium, and large.
Include shopping matches	boolean	No	Return product listings tied to the image, when Yandex has them.
Proxy configuration	object	No	Proxy used to reach Yandex. The default setting works out of the box.

📤 Output

Every run produces one row per match, tagged with the input image it belongs to. Example:

[
  {
    "inputImageUrl": "https://example.com/product-photo.jpg",
    "matchType": "matching_page",
    "title": "Winter Down Jacket, Navy: Online Store",
    "url": "https://shop.example.ru/catalog/down-jacket-navy",
    "imageUrl": "https://avatars.mds.yandex.net/get-images/123/orig",
    "width": 1200,
    "height": 1600,
    "sourceDomain": "shop.example.ru",
    "description": "Navy down jacket, sizes S to XXL, free shipping across Russia.",
    "scrapedAt": "2026-07-09T10:22:41.508Z"
  },
  {
    "inputImageUrl": "https://example.com/product-photo.jpg",
    "matchType": "similar_image",
    "title": "Down jacket navy blue",
    "url": "https://images.example.net/item/98213",
    "imageUrl": "https://avatars.mds.yandex.net/get-images/456/orig",
    "width": 800,
    "height": 1067,
    "scrapedAt": "2026-07-09T10:22:41.512Z"
  }
]

You can download the dataset in JSON, CSV, Excel, HTML, or XML from the Apify platform, or pull it through the API into your own workflow.

📋 Data table

Field	Type	Description
Source image URL	text	The input image this row of matches came from.
Match type	enum	The kind of match: similar image, matching page, tag, other size, or shopping match.
Title	text	Title of the matched result, such as a page title or product name.
Link	text	URL of the match: the page that uses the image, a similar image, a tag search, or a product listing.
Image URL	text	Direct link to the matched image file.
Width	integer	Pixel width of the matched image.
Height	integer	Pixel height of the matched image.
Source domain	text	Domain of the page that uses the image, for matching-page rows.
Description	text	Short text snippet from the page that uses the image, for matching-page rows.
Size group	enum	For other-size rows, whether the copy is small, medium, or large.
Collected at	text	Timestamp of when the match was found.

Fields that Yandex does not report for a given match are left out of that row rather than filled with a placeholder, so every value in your dataset is real. There is no invented similarity or confidence score, because Yandex does not publish one.

💰 Pricing

Yandex Reverse Image Scraper is pay per result. You only pay for the matches actually returned, and an image that has no matches costs nothing. There is no subscription and no minimum spend.

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💡 Tips for better runs

• Use a direct link to the image file, ending in .jpg, .png, or .webp, rather than a link to the page it sits on.
• Turn off the match categories you do not need to keep runs lean and results focused.
• Set a Max results per image cap on exploratory runs, then raise it once you know how many matches a typical image returns.
• Run the same set of images on a schedule to watch for new pages that start using your photos over time.

❓ FAQ

Как сделать поиск по картинке в Яндексе сразу для нескольких изображений? Paste all of your image URLs into the Image URLs field and start one run. The Actor searches each image on Yandex Images separately and returns every match, with each row tagged to the source image, so you never have to search them one at a time.

Поиск по картинке Яндекс: можно ли найти, на каких сайтах используется изображение? Yes. Keep the matching pages category turned on and the Actor returns the web pages that use each image, along with the page title, the domain, and a short text snippet from the page.

Why are some fields missing from a row? Yandex does not report every detail for every match. Rather than guess or insert a placeholder, the Actor leaves those fields out of the row so your data stays accurate. It also does not add any similarity or confidence score, because Yandex does not provide one.

Is this legal? The Actor only reads public reverse image search results that any visitor can see on Yandex Images. It does not access accounts or collect personal data. Review Yandex's terms of service if you plan to use the data commercially at scale.

Found an issue or want a feature added? Open a ticket from the Issues tab on this Actor's page, or reach out for a custom version built around your exact workflow.