Bing: scrapers and the official API, compared

Route map

Each line is one way to get Bing data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Which route for which job

The catalogue Actors for Bing return different records. "Only this route" lists the published fields no other Actor in this table returns, which is usually what decides the choice. Cost is the published per-result rate; start events and platform usage are extra.

Field matrix: who returns what

Every tool with a published output schema, against the 4 fields most Bing jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Bing Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 11 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Teams use Bing result data to follow visible sources, compare keyword coverage and discover relevant news or pages. Keeping query context with destination links helps distinguish ranking observations from the content found through search.

Choose a results scraper when you need ranked rows, a page extractor for destination content, or an image tool for image metadata. Microsoft's Grounding with Bing Search serves grounded answers rather than a raw ranked result list.

Checklist

• Confirm the supported market and query controls, and retain the query and pagination context when comparing rankings.
• Separate web, news, image, video and suggestion records using resultType or recordType wherever those fields are supplied.
• For mixed-engine tools, inspect engine and fallback metadata before treating a row as a Bing result.

Where the data is incomplete

The published data does not include the leading tool's detailed schema, so its exact fields and input controls remain unconfirmed here. A published schema from another Bing tool cannot establish that the leading entry supplies the same records.

The shared image tool can return records from different engines, so its inclusion alone does not identify a row's source.

Official API route

Terms and personal data

Follow Microsoft's terms when collecting public Bing result pages. Review the conditions for your planned storage and reuse of the results. This is general information, not legal advice.

Read Bing's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Open the recommended Bing tool and read its documented query and market options. Choose a narrow query and a supported market for the first dataset.
2. Collect a small dataset and inspect result titles, destination links, snippets and ranking information. Separate different result types if the output includes them.
3. Save the output with the query, selected market and collection time. Retain source-engine information wherever it is available before comparing results.

Call Bing Organic Search Results Scraper from code

The example input uses the Actor's published defaults; set your own Bing query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "webSearch",
    "queries": [
        "best coffee shops seattle"
    ],
    "maxResultsPerQuery": 3,
    "market": "en-US",
    "safeSearch": "moderate",
    "dateRange": "anyTime",
    "imageSize": "any",
    "videoDuration": "any",
    "newsSort": "relevance"
}

run = client.actor("nimbryxo-studio/bing-organic-search-results-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "webSearch",
    "queries": [
        "best coffee shops seattle"
    ],
    "maxResultsPerQuery": 3,
    "market": "en-US",
    "safeSearch": "moderate",
    "dateRange": "anyTime",
    "imageSize": "any",
    "videoDuration": "any",
    "newsSort": "relevance"
};

const run = await client.actor("nimbryxo-studio/bing-organic-search-results-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~bing-organic-search-results-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"webSearch","queries":["best coffee shops seattle"],"maxResultsPerQuery":3,"market":"en-US","safeSearch":"moderate","dateRange":"anyTime","imageSize":"any","videoDuration":"any","newsSort":"relevance"}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/bing-organic-search-results-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on Bing

• Retired toolBing Search APIs: retired on August 11, 2025
• Topic groupLocal business data: every website compared
• ToolWhich Bing route fits your job?
• ToolBing cost by Apify plan, rows and runs

Related websites

• Google Search4 Actors
• Yandex4 Actors

Sources

• Bing Organic Search Results Scraper on Apify Store
• Google Image Search Results & Metadata Scraper on Apify Store
• Search & URL Markdown Extractor for LLMs on Apify Store
• Bing Search APIs (retired) documentation
• Official source, checked 2026-11-09
• Bing terms