Dun and Bradstreet (DNB) Scraper
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Dun and Bradstreet (DNB) Scraper
curious_coder/dun-and-bradstreet-dnb-com-scraper
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Scrape companies and contacts details from DnB database based on industry, job title, employee count, entity types etc.
You can access the Dun and Bradstreet (DNB) Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
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159 "company"
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162 "description": "Search for companies or contacts",
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164 },
165 "countryCode": {
166 "title": "Company search: Country",
167 "enum": [
168 "us",
169 "ca",
170 "gb",
171 "af",
172 "ax",
173 "al",
174 "dz",
175 "as",
176 "ad",
177 "ao",
178 "ai",
179 "aq",
180 "ag",
181 "ar",
182 "am",
183 "aw",
184 "au",
185 "at",
186 "az",
187 "bs",
188 "bh",
189 "bd",
190 "bb",
191 "by",
192 "be",
193 "bz",
194 "bj",
195 "bm",
196 "bt",
197 "bo",
198 "bq",
199 "ba",
200 "bw",
201 "bv",
202 "br",
203 "io",
204 "bn",
205 "bg",
206 "bf",
207 "bi",
208 "kh",
209 "cm",
210 "cv",
211 "ky",
212 "cf",
213 "td",
214 "cl",
215 "cn",
216 "tw",
217 "hk",
218 "cx",
219 "cc",
220 "co",
221 "km",
222 "cg",
223 "cd",
224 "ck",
225 "cr",
226 "ci",
227 "hr",
228 "cu",
229 "cw",
230 "cy",
231 "cz",
232 "dk",
233 "dj",
234 "dm",
235 "do",
236 "ec",
237 "eg",
238 "sv",
239 "gq",
240 "er",
241 "ee",
242 "et",
243 "fk",
244 "fo",
245 "fj",
246 "fi",
247 "fr",
248 "gf",
249 "pf",
250 "tf",
251 "ga",
252 "gm",
253 "ge",
254 "de",
255 "gh",
256 "gi",
257 "gr",
258 "gl",
259 "gd",
260 "gp",
261 "gu",
262 "gt",
263 "gn",
264 "gw",
265 "gy",
266 "ht",
267 "hm",
268 "hn",
269 "hu",
270 "is",
271 "in",
272 "id",
273 "ir",
274 "iq",
275 "ie",
276 "il",
277 "it",
278 "jm",
279 "jp",
280 "jo",
281 "kz",
282 "ke",
283 "ki",
284 "kp",
285 "kr",
286 "xk",
287 "kw",
288 "kg",
289 "la",
290 "lv",
291 "lb",
292 "ls",
293 "lr",
294 "ly",
295 "li",
296 "lt",
297 "lu",
298 "mo",
299 "mk",
300 "mg",
301 "mw",
302 "my",
303 "mv",
304 "ml",
305 "mt",
306 "mh",
307 "mq",
308 "mr",
309 "mu",
310 "yt",
311 "mx",
312 "fm",
313 "md",
314 "mc",
315 "mn",
316 "me",
317 "ms",
318 "ma",
319 "mz",
320 "mm",
321 "mp",
322 "na",
323 "nr",
324 "np",
325 "nl",
326 "nc",
327 "nz",
328 "ni",
329 "ne",
330 "ng",
331 "nu",
332 "nf",
333 "no",
334 "om",
335 "pk",
336 "pw",
337 "ps",
338 "pa",
339 "pg",
340 "py",
341 "pe",
342 "ph",
343 "pn",
344 "pl",
345 "pt",
346 "pr",
347 "qa",
348 "re",
349 "ro",
350 "rw",
351 "kn",
352 "lc",
353 "sx",
354 "ws",
355 "sm",
356 "st",
357 "sa",
358 "sn",
359 "rs",
360 "sc",
361 "sl",
362 "sg",
363 "sk",
364 "si",
365 "sb",
366 "so",
367 "za",
368 "ss",
369 "es",
370 "lk",
371 "sh",
372 "pm",
373 "vc",
374 "sd",
375 "sr",
376 "sj",
377 "sz",
378 "se",
379 "ch",
380 "sy",
381 "tj",
382 "tz",
383 "th",
384 "tl",
385 "tg",
386 "tk",
387 "to",
388 "tt",
389 "tn",
390 "tr",
391 "xt",
392 "tm",
393 "tc",
394 "tv",
395 "ug",
396 "ua",
397 "ae",
398 "um",
399 "uy",
400 "uz",
401 "vu",
402 "va",
403 "ve",
404 "vn",
405 "vg",
406 "vi",
407 "wf",
408 "eh",
409 "ye",
410 "zm",
411 "zw"
412 ],
413 "type": "string",
414 "description": "Country code to use for searching companies. Applicable only when search type is Companies",
415 "default": "us"
416 },
417 "minEmployeeCount": {
418 "title": "Company search: Minimum employee count",
419 "minimum": 1,
420 "type": "integer",
421 "description": "Minimum employee count to filter companies"
422 },
423 "maxEmployeeCount": {
424 "title": "Company search: Maximum employee count",
425 "minimum": 1,
426 "type": "integer",
427 "description": "Maximum employee count, leave blank for no upper limit"
428 },
429 "entityType": {
430 "title": "Company search: Entity type",
431 "enum": [
432 "9140",
433 "9141",
434 "9159",
435 "12774",
436 "12775"
437 ],
438 "type": "string",
439 "description": "Entity type to filter companies"
440 },
441 "jobTitle": {
442 "title": "Contact search: Job title",
443 "type": "string",
444 "description": "Job title to use for searching contacts. Applicable only when search type is Contacts"
445 },
446 "deepScrape": {
447 "title": "Deep scrape each profiles in search result",
448 "type": "boolean",
449 "description": "Scraper will visit each items in the search results and extract more information",
450 "default": false
451 },
452 "startPage": {
453 "title": "Start page",
454 "minimum": 1,
455 "type": "integer",
456 "description": "Page number to start scraping",
457 "default": 1
458 },
459 "count": {
460 "title": "#οΈβ£ Total number of records required",
461 "type": "integer",
462 "description": "Leave this field empty if you want to scrape all items."
463 },
464 "urls": {
465 "title": "URLs",
466 "type": "array",
467 "description": "",
468 "items": {
469 "type": "string"
470 }
471 },
472 "proxy": {
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474 "type": "object",
475 "description": "Proxy to use for scraping"
476 }
477 }
478 },
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490 },
491 "userId": {
492 "type": "string"
493 },
494 "startedAt": {
495 "type": "string",
496 "format": "date-time",
497 "example": "2025-01-08T00:00:00.000Z"
498 },
499 "finishedAt": {
500 "type": "string",
501 "format": "date-time",
502 "example": "2025-01-08T00:00:00.000Z"
503 },
504 "status": {
505 "type": "string",
506 "example": "READY"
507 },
508 "meta": {
509 "type": "object",
510 "properties": {
511 "origin": {
512 "type": "string",
513 "example": "API"
514 },
515 "userAgent": {
516 "type": "string"
517 }
518 }
519 },
520 "stats": {
521 "type": "object",
522 "properties": {
523 "inputBodyLen": {
524 "type": "integer",
525 "example": 2000
526 },
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528 "type": "integer",
529 "example": 0
530 },
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532 "type": "integer",
533 "example": 0
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536 "type": "integer",
537 "example": 0
538 },
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541 "example": 0
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557 "type": "integer",
558 "example": 1024
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560 "diskMbytes": {
561 "type": "integer",
562 "example": 2048
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589 "type": "integer",
590 "example": 0
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610 "example": 0
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617 "type": "integer",
618 "example": 0
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620 "DATA_TRANSFER_INTERNAL_GBYTES": {
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622 "example": 0
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624 "DATA_TRANSFER_EXTERNAL_GBYTES": {
625 "type": "integer",
626 "example": 0
627 },
628 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
629 "type": "integer",
630 "example": 0
631 },
632 "PROXY_SERPS": {
633 "type": "integer",
634 "example": 0
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646 "type": "integer",
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648 },
649 "DATASET_READS": {
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655 "example": 0
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663 "example": 0.00005
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667 "example": 0
668 },
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670 "type": "integer",
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672 },
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674 "type": "integer",
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676 },
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680 },
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684 },
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686 "type": "integer",
687 "example": 0
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690 "type": "integer",
691 "example": 0
692 }
693 }
694 }
695 }
696 }
697 }
698 }
699 }
700 }
701}Dun and Bradstreet (DNB) Scraper OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Dun and Bradstreet (DNB) Scraper from the options below:
If youβd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
Developer
Curious CoderMaintained by Community
Actor Metrics
13 monthly users
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4 bookmarks
53% runs succeeded
Created in Jun 2023
Modified 5 days ago
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