Annonce Legal Figaro Scraper
Pricing
$25.00/month + usage
Go to Store
Annonce Legal Figaro Scraper
Figaro scraper. Permet d'extraire les annonces legal d'entreprise sur plusieurs critère comme la ville, le type d'annonce et la date. Identifier facilement les créations d'entreprise ou les fermetures par exemple
0.0 (0)
Pricing
$25.00/month + usage
1
Total users
1
Monthly users
1
Last modified
19 hours ago
You can access the Annonce Legal Figaro Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "auJWPTUJuPo6bf3yT"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/saswave~annonce-legal-figaro-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-saswave-annonce-legal-figaro-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/saswave~annonce-legal-figaro-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-saswave-annonce-legal-figaro-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$ref": "#/components/schemas/inputSchema"
63 }
64 }
65 }
66 },
67 "parameters": [
68 {
69 "name": "token",
70 "in": "query",
71 "required": true,
72 "schema": {
73 "type": "string"
74 },
75 "description": "Enter your Apify token here"
76 }
77 ],
78 "responses": {
79 "200": {
80 "description": "OK",
81 "content": {
82 "application/json": {
83 "schema": {
84 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/saswave~annonce-legal-figaro-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-saswave-annonce-legal-figaro-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$ref": "#/components/schemas/inputSchema"
106 }
107 }
108 }
109 },
110 "parameters": [
111 {
112 "name": "token",
113 "in": "query",
114 "required": true,
115 "schema": {
116 "type": "string"
117 },
118 "description": "Enter your Apify token here"
119 }
120 ],
121 "responses": {
122 "200": {
123 "description": "OK"
124 }
125 }
126 }
127 }
128 },
129 "components": {
130 "schemas": {
131 "inputSchema": {
132 "type": "object",
133 "properties": {
134 "date_str": {
135 "title": "Date limit: yyyy-mm-dd",
136 "type": "string",
137 "description": "Extract results until this date included"
138 },
139 "city": {
140 "title": "City filter",
141 "enum": [
142 "",
143 "Ain",
144 "Aisne",
145 "Alpes-Maritimes",
146 "Ardennes",
147 "Aude",
148 "Aveyron",
149 "Bas-Rhin",
150 "Bouches-du-Rhône",
151 "Calvados",
152 "Cantal",
153 "Charente",
154 "Charente-Maritime",
155 "Côtes-d'Armor",
156 "Deux-Sèvres",
157 "Dordogne",
158 "Essonne",
159 "Eure",
160 "Finistère",
161 "Gard",
162 "Gironde",
163 "Haut-Rhin",
164 "Haute-Loire",
165 "Haute-Marne",
166 "Hauts-de-Seine",
167 "Hérault",
168 "Ille-et-Vilaine",
169 "Loire-Atlantique",
170 "Lot",
171 "Lot-et-Garonne",
172 "Maine-et-Loire",
173 "Marne",
174 "Morbihan",
175 "Nièvre",
176 "Nord",
177 "Oise",
178 "Paris",
179 "Pas-de-Calais",
180 "Pyrénées-Atlantiques",
181 "Pyrénées-Orientales",
182 "Rhône",
183 "Saône-et-Loire",
184 "Seine-Maritime",
185 "Seine-Saint-Denis",
186 "Seine-et-Marne",
187 "Somme",
188 "Tarn",
189 "Tarn-et-Garonne",
190 "Val-d'Oise",
191 "Val-de-Marne",
192 "Var",
193 "Vaucluse",
194 "Vendée",
195 "Yvelines"
196 ],
197 "type": "string",
198 "description": "Select city"
199 },
200 "annonce_type": {
201 "title": "Annonce type filter",
202 "enum": [
203 "",
204 "Adjudication immobilière",
205 "Appels d'offres",
206 "Apport partiels d'actifs",
207 "Autre adjudication",
208 "Avis aux actionnaires",
209 "Avis de déclaration d'absence",
210 "Avis divers",
211 "Caution et garantie",
212 "Cession de droit au bail",
213 "Changement de nom",
214 "Changement de régime matrimonial",
215 "Clôture de liquidation",
216 "Comptes annuels",
217 "Constitution",
218 "Convocation en AG",
219 "Dissolution",
220 "Fusion ou scission",
221 "Location-Gérance",
222 "Modification - Capital social",
223 "Modification - Commissaires aux comptes",
224 "Modification - Continuation d'activité",
225 "Modification - Dénomination",
226 "Modification - Dirigeants/Associés",
227 "Modification - Objet social",
228 "Modifications diverses",
229 "Modification - Siège social",
230 "Procédures collectives",
231 "Sanction",
232 "Succession",
233 "Transformation",
234 "Vente de fonds"
235 ],
236 "type": "string",
237 "description": "Select annonce type"
238 },
239 "proxyConfiguration": {
240 "title": "Proxy configuration",
241 "type": "object",
242 "description": "The best option is usually Automatic proxy. But you can also use your own proxies or no proxy"
243 }
244 }
245 },
246 "runsResponseSchema": {
247 "type": "object",
248 "properties": {
249 "data": {
250 "type": "object",
251 "properties": {
252 "id": {
253 "type": "string"
254 },
255 "actId": {
256 "type": "string"
257 },
258 "userId": {
259 "type": "string"
260 },
261 "startedAt": {
262 "type": "string",
263 "format": "date-time",
264 "example": "2025-01-08T00:00:00.000Z"
265 },
266 "finishedAt": {
267 "type": "string",
268 "format": "date-time",
269 "example": "2025-01-08T00:00:00.000Z"
270 },
271 "status": {
272 "type": "string",
273 "example": "READY"
274 },
275 "meta": {
276 "type": "object",
277 "properties": {
278 "origin": {
279 "type": "string",
280 "example": "API"
281 },
282 "userAgent": {
283 "type": "string"
284 }
285 }
286 },
287 "stats": {
288 "type": "object",
289 "properties": {
290 "inputBodyLen": {
291 "type": "integer",
292 "example": 2000
293 },
294 "rebootCount": {
295 "type": "integer",
296 "example": 0
297 },
298 "restartCount": {
299 "type": "integer",
300 "example": 0
301 },
302 "resurrectCount": {
303 "type": "integer",
304 "example": 0
305 },
306 "computeUnits": {
307 "type": "integer",
308 "example": 0
309 }
310 }
311 },
312 "options": {
313 "type": "object",
314 "properties": {
315 "build": {
316 "type": "string",
317 "example": "latest"
318 },
319 "timeoutSecs": {
320 "type": "integer",
321 "example": 300
322 },
323 "memoryMbytes": {
324 "type": "integer",
325 "example": 1024
326 },
327 "diskMbytes": {
328 "type": "integer",
329 "example": 2048
330 }
331 }
332 },
333 "buildId": {
334 "type": "string"
335 },
336 "defaultKeyValueStoreId": {
337 "type": "string"
338 },
339 "defaultDatasetId": {
340 "type": "string"
341 },
342 "defaultRequestQueueId": {
343 "type": "string"
344 },
345 "buildNumber": {
346 "type": "string",
347 "example": "1.0.0"
348 },
349 "containerUrl": {
350 "type": "string"
351 },
352 "usage": {
353 "type": "object",
354 "properties": {
355 "ACTOR_COMPUTE_UNITS": {
356 "type": "integer",
357 "example": 0
358 },
359 "DATASET_READS": {
360 "type": "integer",
361 "example": 0
362 },
363 "DATASET_WRITES": {
364 "type": "integer",
365 "example": 0
366 },
367 "KEY_VALUE_STORE_READS": {
368 "type": "integer",
369 "example": 0
370 },
371 "KEY_VALUE_STORE_WRITES": {
372 "type": "integer",
373 "example": 1
374 },
375 "KEY_VALUE_STORE_LISTS": {
376 "type": "integer",
377 "example": 0
378 },
379 "REQUEST_QUEUE_READS": {
380 "type": "integer",
381 "example": 0
382 },
383 "REQUEST_QUEUE_WRITES": {
384 "type": "integer",
385 "example": 0
386 },
387 "DATA_TRANSFER_INTERNAL_GBYTES": {
388 "type": "integer",
389 "example": 0
390 },
391 "DATA_TRANSFER_EXTERNAL_GBYTES": {
392 "type": "integer",
393 "example": 0
394 },
395 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
396 "type": "integer",
397 "example": 0
398 },
399 "PROXY_SERPS": {
400 "type": "integer",
401 "example": 0
402 }
403 }
404 },
405 "usageTotalUsd": {
406 "type": "number",
407 "example": 0.00005
408 },
409 "usageUsd": {
410 "type": "object",
411 "properties": {
412 "ACTOR_COMPUTE_UNITS": {
413 "type": "integer",
414 "example": 0
415 },
416 "DATASET_READS": {
417 "type": "integer",
418 "example": 0
419 },
420 "DATASET_WRITES": {
421 "type": "integer",
422 "example": 0
423 },
424 "KEY_VALUE_STORE_READS": {
425 "type": "integer",
426 "example": 0
427 },
428 "KEY_VALUE_STORE_WRITES": {
429 "type": "number",
430 "example": 0.00005
431 },
432 "KEY_VALUE_STORE_LISTS": {
433 "type": "integer",
434 "example": 0
435 },
436 "REQUEST_QUEUE_READS": {
437 "type": "integer",
438 "example": 0
439 },
440 "REQUEST_QUEUE_WRITES": {
441 "type": "integer",
442 "example": 0
443 },
444 "DATA_TRANSFER_INTERNAL_GBYTES": {
445 "type": "integer",
446 "example": 0
447 },
448 "DATA_TRANSFER_EXTERNAL_GBYTES": {
449 "type": "integer",
450 "example": 0
451 },
452 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
453 "type": "integer",
454 "example": 0
455 },
456 "PROXY_SERPS": {
457 "type": "integer",
458 "example": 0
459 }
460 }
461 }
462 }
463 }
464 }
465 }
466 }
467 }
468}Annonce Legal Figaro 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 Annonce Legal Figaro Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
