Bing Search Scraper

Bing Search Scraper fetches organic results, ads, and related searches from Bing for any keyword you give it. Pass in a list of queries; get back ranked results with real destination URLs, titles, snippets, and positions. It pages through results automatically, so pulling 50 results per query is the same input effort as pulling 10. Output goes into Apify's dataset and exports to JSON, CSV, or Excel.

Worth noting upfront: this scrapes Bing specifically, not Google. If you're tracking rankings on both, you'll need both.

What it does

For each query, it loads the Bing results page and extracts:

• Organic results — title, real destination URL, display URL, snippet text, and rank position
• Ads — same fields as organic, labeled separately with isAd: true
• Featured snippets — the answer box Bing shows for definition, how-to, and fact queries
• Related searches — the suggestion links at the bottom of each page
• Estimated result count — the total results count Bing reports (e.g. "About 1,230,000,000 results")

When you ask for more than 10 results, it paginates automatically.

Input

Field	Required	Default	Description
queries	Yes	—	One or more search keywords to scrape
maxResults	No	10	Max results per keyword (up to 50)
market	No	en-US	Bing regional index code
safeSearch	No	Moderate	Off, Moderate, or Strict
freshness	No	All time	Filter by Day, Week, or Month
language	No	en	Interface language code
maxItems	No	100	Total dataset cap across all queries
requestTimeoutSecs	No	30	Per-request timeout in seconds

Market codes (common examples)

Market	Code	Market	Code
United States	en-US	Germany	de-DE
United Kingdom	en-GB	France	fr-FR
Canada	en-CA	Spain	es-ES
Australia	en-AU	Italy	it-IT
India	en-IN	Japan	ja-JP
Brazil	pt-BR	Netherlands	nl-NL
Mexico	es-MX	Poland	pl-PL

Language codes (common examples)

en, de, fr, es, it, pt, nl, ja, ko, zh-Hans, ar, ru

Example inputs

Basic keyword search:

{
  "queries": ["best laptops 2024", "restaurants in NYC"],
  "maxResults": 20,
  "market": "en-US",
  "safeSearch": "Moderate"
}

Multi-market SEO comparison:

{
  "queries": ["buy running shoes"],
  "maxResults": 30,
  "market": "en-GB",
  "language": "en",
  "safeSearch": "Off"
}

Recent news only:

{
  "queries": ["OpenAI news", "AI regulation update"],
  "maxResults": 10,
  "freshness": "Day",
  "market": "en-US"
}

German-language results:

{
  "queries": ["beste Laptops 2024"],
  "maxResults": 20,
  "market": "de-DE",
  "language": "de"
}

Output fields

Each row in the dataset represents one search result:

Field	Type	Description
query	string	The search query that produced this result
position	integer	Rank position (1 = top result). Null for ads
resultType	string	organic or ad
pageTitle	string	The result's page title
url	string	Real destination URL (decoded from Bing's redirect)
displayUrl	string	Short URL shown in the search result
snippet	string	Description text shown under the title
isAd	boolean	true if the result is a sponsored ad
isFeaturedSnippet	boolean	true if pulled from an answer box
featuredSnippetText	string	Answer box text (null if no featured snippet)
relatedSearches	array	List of related search queries from the page
totalResultsEstimate	string	Bing's estimated result count for the query
market	string	Market code used for this query
language	string	Language code used
safeSearch	string	Safe search level applied
scrapedAt	string	ISO 8601 timestamp of when the result was scraped

Example output

{
  "query": "best laptops 2024",
  "position": 1,
  "resultType": "organic",
  "pageTitle": "Best Laptops 2024: Our Top Picks - PCMag",
  "url": "https://www.pcmag.com/picks/the-best-laptops",
  "displayUrl": "https://www.pcmag.com › picks › the-best-laptops",
  "snippet": "We test and review hundreds of laptops every year. Here are our top picks across all categories for every budget.",
  "isAd": false,
  "isFeaturedSnippet": false,
  "featuredSnippetText": null,
  "relatedSearches": [
    "best laptop 2024 under 1000",
    "best gaming laptop 2024",
    "best budget laptop 2024",
    "best MacBook 2024"
  ],
  "totalResultsEstimate": "About 4,120,000,000 results",
  "market": "en-US",
  "language": "en",
  "safeSearch": "Moderate",
  "scrapedAt": "2024-01-15T10:30:00.000000+00:00"
}

What people use it for

SEO rank tracking on Bing — Bing holds a significant share of desktop and enterprise search traffic (especially in the US, Germany, and Japan). Track where your pages rank and how snippets change over time.

Competitor SERP monitoring — Pull the top 20 results for your target keywords weekly. See which competitors are entering or leaving the top positions and what their title/snippet changes look like.

Keyword research — Run a batch of candidate keywords and collect the related searches from each SERP. These are real user queries that Bing surfaces, useful for expanding keyword clusters.

Multi-market research — Run the same queries across different market codes (en-US, en-GB, de-DE, fr-FR) to see how Bing's index differs by country. Useful for international SEO and localization research.

Content gap analysis — Pull the top 10 results for your target keyword, collect the snippets, and analyze what topics and angles the ranking pages cover that yours might not.

News and trend monitoring — Use freshness: "Day" or freshness: "Week" to track what's ranking for trending topics in near-real time.

Ad intelligence — The actor captures sponsored results separately (isAd: true). Use this to monitor which advertisers are bidding on your target keywords and what their ad copy says.

Scheduling and automation

To run this actor on a schedule:

1. Go to your actor's page on Apify and click Schedules
2. Set the interval (daily, weekly, etc.)
3. Save the same input configuration you're using for your keyword set
4. Results will accumulate in the dataset over time

For large keyword sets, consider splitting them across multiple runs with different maxItems caps to stay within your plan limits.

Exporting data

From the Apify dataset view:

• JSON — full structured output, all fields
• CSV — flat table, good for Excel or Google Sheets
• JSONL — line-delimited JSON, useful for streaming pipelines
• XML — for legacy integrations

The relatedSearches field is an array and will be joined as a comma-separated string in CSV exports.

Known limitations

Results are a snapshot. Run the same query again an hour later and you may get a slightly different set, since Bing personalizes results by location and session.

Bing changes its page structure occasionally. When that happens, snippet or URL extraction may stop working until the selectors are updated.

Large query batches take time. The actor waits between requests to avoid hitting rate limits, so 100 queries with 10 results each will take several minutes.

The freshness filter applies to the whole page, not individual results. Some results on a "Day" filtered page may still be older if Bing considers them highly relevant.

Featured snippets only appear for certain query types (definitions, how-to questions, fact queries). For most commercial or navigational queries, featuredSnippetText will be null.