Bing Search Scraper

Bing search results as rows: title, real destination URL, displayed URL, description, and rank.

For SEO teams and marketers who track Bing rankings. Every run tells you plainly what worked and what did not: no silent empty runs.

What you can do with it

• Bing rank tracking: record where your pages rank on Bing for your keywords.
• SERP comparison: run the same keywords here and on Google Search Scraper.

What you get

Field	What it is	Example
query	The search term that produced this row.	adidas
type	organic, paid, or error.	organic
position	1-based rank in this Actor's list (organic first).	1
page	Bing results page number.	1
title	Listing headline.	Sneakers and Activewear | adidas US
url	Destination URL.	https://www.adidas.com/us
urlShown	Simplified URL Bing showed.	https://www.adidas.com
description	Listing description text.	· Gear up for your favorite sport with adidas sneakers and activewear…
rankOrganic	Rank within organic or paid group.	1
rankOverall	Rank among mixed organic and paid listings.	1

Examples come from a real run. Every row has every field; a value the page did not show is null, never guessed.

How to use it

1. Click Try for free (or Start) on this page.
2. Enter one search query per line in the first field. The form is prefilled with a working example.
3. Optional: set Max results and the other options.
4. Click Start. Open the Output tab, or export JSON, CSV, Excel, or HTML.

Example input

{
  "queries": [
    "adidas"
  ],
  "domain": "com",
  "pages": 1,
  "maxResults": 5
}

Example output

One real row from a run on 17 October 2026 (long values shortened here):

{
  "query": "adidas",
  "type": "organic",
  "position": 1,
  "page": 1,
  "title": "Sneakers and Activewear | adidas US",
  "url": "https://www.adidas.com/us",
  "urlShown": "https://www.adidas.com",
  "description": "· Gear up for your favorite sport with adidas sneakers and activewear for men and women. From running to …",
  "rankOrganic": 1,
  "rankOverall": 1
}

Pricing

Pay per result: $2.00 per 1,000 rows, plus $0.001 per run start. No subscription.

Event	When	Price
Actor start	Once per run (per GB of memory; the default 256 MB counts as one)	$0.001
Result row	Each row saved to the dataset	$0.002

Example	Rows	Cost
10 results	10	$0.001 + $0.02 = $0.021
100 results	100	$0.001 + $0.20 = $0.201
1,000 results	1,000	$0.001 + $2.00 = $2.001

• Retries after a bot check or a temporary error cost you nothing. You pay only for rows saved.
• An input that fails after all retries saves one error row (one row charge), so you can see what failed and why.
• Set Max total charge per run in the run options. The Actor stops cleanly at that limit and keeps every row saved so far.

What you can count on

• Same columns on every row. Missing values are null, so spreadsheets and databases never break.
• No silent failures. An input that fails gets an error row with errorCode and a plain-language errorMessage. The other inputs keep running.
• A clear run summary. The run status says how many results were saved, how many inputs failed, and why. The same numbers are saved as the RUN_SUMMARY record in the run's key-value store, for automations.
• Automatic retries. Bot checks and temporary errors are retried with a fresh request before an input counts as failed.
• Limits respected. Max results and your spending limit stop the run cleanly.

Use it from code, automations, and AI agents

API (returns the rows when the run finishes):

curl -X POST "https://api.apify.com/v2/acts/datacortex~bing-search-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["adidas"], "domain": "com", "pages": 1, "maxResults": 5}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datacortex/bing-search-scraper").call(run_input={"queries": ["adidas"], "domain": "com", "pages": 1, "maxResults": 5})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('datacortex/bing-search-scraper').call({"queries": ["adidas"], "domain": "com", "pages": 1, "maxResults": 5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

No-code: connect the Actor in Make, Zapier, n8n, or Google Sheets through Apify's integrations, or add a webhook to get notified when a run finishes.

AI agents (MCP): add https://mcp.apify.com?tools=datacortex/bing-search-scraper to Claude, Cursor, or any MCP client. The agent can call this Actor as a tool with the same input as above.

Limitations

• Copilot answers are not returned.
• A Bing results page can take up to a minute to load.

FAQ

Are the URLs real destinations? Yes. Bing tracking and cashback redirect links are turned into the destination URL when the link contains it.

What does an error row mean? It marks an input that failed after retries. errorCode is short (blocked, empty_result, not_available, http_404, or invalid_... for a bad ID or URL) and errorMessage says what to do. Remove error rows with a filter on type.

Can I run it on a schedule? Yes. Create a task with your input in Apify Console, then add a schedule (for example every day at 8:00).

Is it legal to collect this data? The Actor reads public pages that anyone can open without logging in. You are responsible for how you use the data, including copyright, personal data rules such as GDPR, and the site's terms. If you are not sure, ask a lawyer.

Related Actors

• Google Search Scraper: Google search results as rows.
• Google News Scraper: Google News results by keyword.

Support

Found a problem or need a field? Open an issue on the Issues tab. Include the run ID and one input that shows the problem. We read every issue.