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Bing Ads Scraper

Try for free

Find and scrape current and past ads on Bing. Get ad copy, shown dates and locations, impressions, and more. Download and analyze data from the Microsoft Ad Library for competitive analysis.

Pricing

from $6.40 / 1,000 results

Rating

5.0

(9)

Developer

Lexis Solutions

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

.dockerignore

# configurations
.idea

# crawlee and apify storage folders
apify_storage
crawlee_storage
storage

# installed files
node_modules

.gitignore

# This file tells Git which files shouldn't be added to source control

.idea
dist
node_modules
apify_storage
crawlee_storage
storage

# Added by Apify CLI
.venv

tsconfig.json

{
  "extends": "@apify/tsconfig",
  "compilerOptions": {
    "module": "CommonJS",
    "target": "ES2022",
    "moduleResolution": "node",
    "outDir": "dist",
    "lib": ["DOM"],
    "noImplicitAny": false,
    "noUnusedLocals": false,
    "noUnusedParameters": false,
    "esModuleInterop": true
  },
  "include": ["./src/**/*"]
}

package.json

{
  "name": "bing-ads-scraper",
  "version": "1.0",
  "dependencies": {
    "apify": "^3.7.0",
    "crawlee": "^3.16.0"
  },
  "devDependencies": {
    "@apify/tsconfig": "^0.1.0",
    "@types/node": "^25.5.0",
    "ts-node": "^10.8.0",
    "typescript": "^5.9.3"
  },
  "scripts": {
    "dev": "apify run",
    "start": "ts-node-esm -T src/main.ts",
    "start:prod": "node dist/main.js",
    "build": "tsc",
    "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1"
  },
  "author": "It's not you it's me",
  "license": "ISC"
}

Dockerfile

# Specify the base Docker image. You can read more about
# the available images at https://crawlee.dev/docs/guides/docker-images
# You can also use any other image from Docker Hub.
FROM apify/actor-node:20 AS builder

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY package.json yarn.lock ./

# Install all dependencies. Don't audit to speed up the installation.
RUN yarn --production=false

# Next, copy the source files using the user set
# in the base image.
COPY . ./

# Install all dependencies and build the project.
# Don't audit to speed up the installation.
RUN yarn build

# Create final image
FROM apify/actor-node:20

# Copy only built JS files from builder image
COPY --from=builder /usr/src/app/dist ./dist

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY package*.json yarn.lock ./

# Install NPM packages, skip optional and development dependencies to
# keep the image small. Avoid logging too much and print the dependency
# tree for debugging
RUN yarn --prod \
    && echo "Node.js version:" \
    && node --version \
    && echo "Yarn version:" \
    && yarn --version

# Next, copy the remaining files and directories with the source code.
# Since we do this after NPM install, quick build will be really fast
# for most source file changes.
COPY . ./


# Run the image.
CMD yarn start:prod --silent

.actor/dataset_schema.json

{
  "actorSpecification": 1,
  "fields": {},
  "views": {
    "overview": {
      "title": "Overview",
      "description": "A compact table view of the scraped ads.",
      "transformation": {
        "fields": [
          "adId",
          "advertiserId",
          "advertiserName",
          "adTitle",
          "adDescription",
          "adImpressions",
          "adDestination",
          "adStartDate",
          "adEndDate"
        ]
      },
      "display": {
        "component": "table",
        "properties": {
          "type": "object",
          "properties": {
            "adId": { "format": "string" },
            "advertiserId": { "format": "string" },
            "advertiserName": { "format": "string" },
            "adTitle": { "format": "string" },
            "adDescription": { "format": "string" },
            "adImpressions": { "format": "string" },
            "adDestination": { "format": "link" },
            "adStartDate": { "format": "date" },
            "adEndDate": { "format": "date" }
          }
        }
      }
    }
  }
}

.actor/output_schema.json

{
  "actorOutputSchemaVersion": 1,
  "title": "Output",
  "description": "Links to the most useful results produced by this Actor run.",
  "properties": {
    "overview": {
      "type": "string",
      "title": "Overview",
      "template": "{{links.apiDefaultDatasetUrl}}/items?view=overview"
    }
  }
}

.actor/actor.json

{
  "actorSpecification": 1,
  "name": "bing-ads-scraper",
  "title": "Bing Ads Scraper",
  "version": "1.0",
  "input": "./input_schema.json",
  "output": "./output_schema.json",
  "storages": {
    "dataset": "./dataset_schema.json",
    "keyValueStore": "./key_value_store_schema.json"
  },
  "environmentVariables": {
    "RETAINER_CHARGE_URL": "https://cibffugqlgmywnkzvsvv.supabase.co/functions/v1/actor-charge",
    "RETAINER_CHARGE_KEY": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6ImNpYmZmdWdxbGdteXdua3p2c3Z2Iiwicm9sZSI6ImFub24iLCJpYXQiOjE3Mjg2Mzg0OTYsImV4cCI6MjA0NDIxNDQ5Nn0.PP2brfP6fB1CyTudcK-SzuQnQRV9JgoXUsHtPDGXipE"
  }
}

.actor/key_value_store_schema.json

{
  "actorKeyValueStoreSchemaVersion": 1,
  "title": "Key-Value Store Schema",
  "collections": {}
}

.actor/input_schema.json

{
  "title": "Bing Ads Scraper",
  "description": "",
  "type": "object",
  "schemaVersion": 1,
  "properties": {
    "query": {
      "title": "Search Query",
      "type": "string",
      "description": "You can search for ads containing words in a specific order or ads containing words in any order. Use quotation marks if you're searching for ads containing words in a specific order. For example, \"red shoe sale\" will bring up search results for all ads that contain \"red shoe sale.\" Don't use quotation marks if you're searching for ads containing multiple words in any order.",
      "editor": "textfield",
      "prefill": "services"
    },
    "advertiserId": {
      "title": "Advertiser ID",
      "type": "string",
      "description": "The advertiser ID is a unique number that identifies the advertiser's account on Microsoft Ad Library",
      "editor": "textfield"
    },
    "maxPages": {
      "title": "Max Pages",
      "type": "integer",
      "description": "Maximum number of pages to crawl.",
      "default": 1
    },
    "maxItems": {
      "title": "Max Items",
      "type": "integer",
      "description": "Maximum number of ads to scrape.",
      "minimum": 1,
      "default": 10
    },
    "proxyConfiguration": {
      "title": "Proxy configuration",
      "type": "object",
      "description": "Select proxies to use for the crawler.",
      "editor": "proxy",
      "default": {
        "useApifyProxy": true
      }
    }
  },
  "required": []
}

src/main.ts

1import { Actor } from 'apify';
2import { CheerioCrawler } from 'crawlee';
3
4import { router } from './routes';
5
6Actor.main(async () => {
7  const input: any = await Actor.getInput();
8  const proxyConfiguration = await Actor.createProxyConfiguration(
9    input?.proxyConfiguration
10  );
11
12  const crawler = new CheerioCrawler({
13    requestHandler: router,
14    proxyConfiguration,
15  });
16
17  await crawler.run([
18    {
19      url: 'https://adlibrary.ads.microsoft.com',
20      skipNavigation: true,
21    },
22  ]);
23});

src/routes.ts

1import { Actor } from 'apify';
2import { Dataset, RequestOptions, createCheerioRouter, log } from 'crawlee';
3
4export enum Label {
5  advertiserSearch = 'advertiserSearch',
6  search = 'search',
7  detail = 'detail',
8}
9
10export const router = createCheerioRouter();
11const ADS_PAGE_SIZE = 12;
12const ADVERTISERS_PAGE_SIZE = 12;
13const DEFAULT_MAX_ITEMS = 10;
14const REQUEST_TIMEOUT_MILLIS = 20_000;
15
16const getState = async () =>
17  Actor.useState<{ enqueuedItems: number }>('BING_ADS_STATE', {
18    enqueuedItems: 0,
19  });
20
21class HttpStatusError extends Error {
22  constructor(public statusCode: number) {
23    super(`Request failed with status ${statusCode}`);
24  }
25}
26
27const parseJsonBody = (body: string) => {
28  try {
29    return JSON.parse(body);
30  } catch {
31    const preview = body.slice(0, 200).replace(/\s+/g, ' ').trim();
32    throw new Error(`Expected JSON response, got: ${preview}`);
33  }
34};
35
36const requestJson = async (sendRequest: any, url: string) => {
37  const response = await sendRequest({
38    url,
39    http2: false,
40    timeout: { request: REQUEST_TIMEOUT_MILLIS },
41  });
42
43  if (response.statusCode >= 400) {
44    throw new HttpStatusError(response.statusCode);
45  }
46
47  return parseJsonBody(response.body);
48};
49
50router.addDefaultHandler(async ({ crawler }) => {
51  const input = await Actor.getInput<any>();
52  const maxPages = Math.max(1, Number(input?.maxPages ?? 1) || 1);
53  const maxItems = Math.max(
54    1,
55    Number(input?.maxItems ?? DEFAULT_MAX_ITEMS) || DEFAULT_MAX_ITEMS
56  );
57  const query = typeof input?.query === 'string' ? input.query.trim() : '';
58  const advertiserId =
59    typeof input?.advertiserId === 'string' ? input.advertiserId.trim() : '';
60
61  if (!query && !advertiserId) {
62    throw new Error('Either "query" or "advertiserId" must be provided.');
63  }
64
65  log.info('Default handler', {
66    query: query || null,
67    advertiserId: advertiserId || null,
68    maxPages,
69    maxItems,
70  });
71
72  if (advertiserId) {
73    await crawler.addRequests([
74      {
75        url: `https://adlibrary.ads.microsoft.com/search/${advertiserId}/1`,
76        label: Label.search,
77        userData: {
78          advertiserId,
79          query,
80          maxPages,
81          maxItems,
82          page: 1,
83        },
84        skipNavigation: true,
85      },
86    ]);
87
88    return;
89  }
90
91  await crawler.addRequests(
92    Array.from({ length: maxPages }).map((_, i) => {
93      const url = new URL(
94        'https://adlibrary.api.bingads.microsoft.com/api/v1/Advertisers'
95      );
96      url.searchParams.set('searchText', query);
97      url.searchParams.set('top', ADVERTISERS_PAGE_SIZE.toString());
98      url.searchParams.set('skip', (i * ADVERTISERS_PAGE_SIZE).toString());
99
100      return {
101        url: `https://adlibrary.ads.microsoft.com/advertisers/${i}`,
102        label: Label.advertiserSearch,
103        userData: {
104          query,
105          page: i + 1,
106          url: url.toString(),
107          maxPages,
108          maxItems,
109        },
110        skipNavigation: true,
111      };
112    })
113  );
114});
115
116router.addHandler(
117  Label.advertiserSearch,
118  async ({ request, crawler, sendRequest }) => {
119    const { query, page, url, maxPages, maxItems } = request.userData;
120    const state = await getState();
121
122    if (state.enqueuedItems >= maxItems) {
123      log.info('Reached maxItems, skipping advertiser search', { page });
124      return;
125    }
126
127    log.info('Advertiser search handler', {
128      page,
129      query,
130      maxPages,
131    });
132
133    const res: any = await requestJson(sendRequest, url.toString());
134
135    const advertisers = Array.isArray(res?.value) ? res.value : [];
136
137    log.info('Advertiser search result', {
138      page,
139      items: advertisers.length,
140    });
141
142    await crawler.addRequests(
143      advertisers.flatMap((advertiser: any) => {
144        const advertiserId =
145          advertiser?.Id ?? advertiser?.AdvertiserId ?? advertiser?.id;
146
147        if (advertiserId == null) {
148          return [];
149        }
150
151        return {
152          url: `https://adlibrary.ads.microsoft.com/search/${advertiserId}/1`,
153          label: Label.search,
154          skipNavigation: true,
155          userData: {
156            advertiserId,
157            maxPages,
158            maxItems,
159            page: 1,
160          },
161        };
162      })
163    );
164  }
165);
166
167router.addHandler(Label.search, async ({ request, crawler, sendRequest }) => {
168  const { advertiserId, query, maxPages, maxItems, page } = request.userData;
169  const state = await getState();
170
171  if (state.enqueuedItems >= maxItems) {
172    log.info('Reached maxItems, skipping search page', { page });
173    return;
174  }
175
176  const apiUrl = new URL(
177    'https://adlibrary.api.bingads.microsoft.com/api/v1/Ads'
178  );
179  apiUrl.searchParams.set('advertiserId', String(advertiserId));
180  apiUrl.searchParams.set('top', ADS_PAGE_SIZE.toString());
181  apiUrl.searchParams.set('skip', ((page - 1) * ADS_PAGE_SIZE).toString());
182
183  if (query) {
184    apiUrl.searchParams.set('searchText', String(query));
185  }
186
187  const res: any = await requestJson(sendRequest, apiUrl.toString());
188  const ads = Array.isArray(res?.value) ? res.value : [];
189  const adsToScrape = ads.slice(0, Math.max(maxItems - state.enqueuedItems, 0));
190  state.enqueuedItems += adsToScrape.length;
191
192  log.info('Search handler', {
193    page,
194    items: ads.length,
195  });
196
197  const requests: RequestOptions[] = adsToScrape.map((v: any) => {
198    const detailUrl = `https://adlibrary.api.bingads.microsoft.com/api/v1/Ads/${v.AdId}?expand=AdDetails(expand=ImpressionsByCountry,Targets)`;
199
200    return {
201      url: `https://adlibrary.ads.microsoft.com/detail/${v.AdId}`,
202      label: Label.detail,
203      skipNavigation: true,
204      forefront: true,
205      userData: {
206        adId: v.AdId,
207        url: detailUrl.toString(),
208      },
209    };
210  });
211
212  if (
213    ads.length === ADS_PAGE_SIZE &&
214    page < maxPages &&
215    state.enqueuedItems < maxItems
216  ) {
217    requests.push({
218      url: `https://adlibrary.ads.microsoft.com/search/${advertiserId}/${page + 1}`,
219      label: Label.search,
220      skipNavigation: true,
221      userData: {
222        advertiserId,
223        query,
224        maxPages,
225        maxItems,
226        page: page + 1,
227      },
228    });
229  }
230
231  await crawler.addRequests(requests);
232});
233
234router.addHandler(Label.detail, async ({ request, sendRequest }) => {
235  const { adId, url } = request.userData;
236
237  log.info('Detail handler', {
238    adId,
239  });
240
241  let res: any;
242  try {
243    res = await requestJson(sendRequest, url.toString());
244  } catch (error) {
245    // The detail API intermittently returns 5xx for some ads; retry once, then skip
246    if (
247      error instanceof HttpStatusError &&
248      error.statusCode >= 500 &&
249      request.retryCount >= 1
250    ) {
251      log.warning('Skipping ad after repeated server errors', {
252        adId,
253        statusCode: error.statusCode,
254      });
255      return;
256    }
257    throw error;
258  }
259
260  const ad = {
261    adId: res.AdId,
262    adTitle: res.Title,
263    adDescription: res.Description,
264    adDestination: res.DestinationUrl,
265    advertiserId: res.AdvertiserId,
266    advertiserName: res.AdvertiserName,
267    advertiserPaidForBy: res.AdDetails.PaidForByName,
268    adStartDate: res.AdDetails.StartDate,
269    adEndDate: res.AdDetails.EndDate,
270    adImpressions: res.AdDetails.TotalImpressionsRange,
271    impressionsByCountry: (res.AdDetails.ImpressionsByCountry ?? [])
272      .map((v) => ({
273        country: v.Country,
274        impressionShare: Number(v.ImpressionShare.replace('%', '')),
275      }))
276      .sort((a, b) => b.impressionShare - a.impressionShare),
277    targets: (res.AdDetails.Targets ?? []).map((v) => ({
278      targetType: v.TargetType,
279      usedForExclusion: v.UsedForExclusion,
280    })),
281  };
282
283  await Dataset.pushData(ad);
284});

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.dockerignore

.gitignore

tsconfig.json

package.json

Dockerfile

.actor/dataset_schema.json

.actor/output_schema.json

.actor/actor.json

.actor/key_value_store_schema.json

.actor/input_schema.json

src/main.ts

src/routes.ts

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.dockerignore

.gitignore

tsconfig.json

package.json

Dockerfile

.actor/dataset_schema.json

.actor/output_schema.json

.actor/actor.json

.actor/key_value_store_schema.json

.actor/input_schema.json

src/main.ts

src/routes.ts