Lightweight Facebook Pages Scraper
Try for free
2 hours trial then $20.00/month - No credit card required now
Go to Store
Lightweight Facebook Pages Scraper
oussemafr/lightweight-facebook-pages-scraper
Try for free
2 hours trial then $20.00/month - No credit card required now
Scrape detailed Facebook page information efficiently and cost-effectively with our best scraper. Extract valuable data like page names, URLs, contact details, addresses, likes, and followers for competitive analysis, market research, trend monitoring, and social media analysis.
You can access the Lightweight Facebook Pages Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "pJLWN49x4GGUwUUYc"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/oussemafr~lightweight-facebook-pages-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-oussemafr-lightweight-facebook-pages-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/oussemafr~lightweight-facebook-pages-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-oussemafr-lightweight-facebook-pages-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/oussemafr~lightweight-facebook-pages-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-oussemafr-lightweight-facebook-pages-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 "required": [
134 "start_urls"
135 ],
136 "properties": {
137 "cookies": {
138 "title": "Cookies",
139 "type": "array",
140 "description": "Authenticate the actor with Facebook by installing the Cookie-Editor extension (https://cookie-editor.com/), logging into your facebook.com account, exporting your cookies as JSON with the extension, and pasting the data here."
141 },
142 "start_urls": {
143 "title": "Bulk Start URLs",
144 "type": "array",
145 "description": "URLs to start with. Use this field when you have multiple URLs as the starting points.",
146 "items": {
147 "type": "object",
148 "required": [
149 "url"
150 ],
151 "properties": {
152 "url": {
153 "type": "string",
154 "title": "URL of a web page",
155 "format": "uri"
156 }
157 }
158 }
159 },
160 "followers_count": {
161 "title": "Followers Count",
162 "type": "boolean",
163 "description": "Include exact follower count.",
164 "default": false
165 },
166 "about_contact_and_basic_info": {
167 "title": "Contact and basic info",
168 "type": "boolean",
169 "description": "Include the 'Contact and basic info' section.",
170 "default": true
171 },
172 "about_details": {
173 "title": "Details About",
174 "type": "boolean",
175 "description": "Include detailed 'Details About' section.",
176 "default": false
177 },
178 "about_profile_transparency": {
179 "title": "Page Transparency",
180 "type": "boolean",
181 "description": "Include page transparency details.",
182 "default": false
183 },
184 "proxyUrls": {
185 "title": "Proxy configuration",
186 "type": "object",
187 "description": "Select proxies to be used by your crawler."
188 }
189 }
190 },
191 "runsResponseSchema": {
192 "type": "object",
193 "properties": {
194 "data": {
195 "type": "object",
196 "properties": {
197 "id": {
198 "type": "string"
199 },
200 "actId": {
201 "type": "string"
202 },
203 "userId": {
204 "type": "string"
205 },
206 "startedAt": {
207 "type": "string",
208 "format": "date-time",
209 "example": "2025-01-08T00:00:00.000Z"
210 },
211 "finishedAt": {
212 "type": "string",
213 "format": "date-time",
214 "example": "2025-01-08T00:00:00.000Z"
215 },
216 "status": {
217 "type": "string",
218 "example": "READY"
219 },
220 "meta": {
221 "type": "object",
222 "properties": {
223 "origin": {
224 "type": "string",
225 "example": "API"
226 },
227 "userAgent": {
228 "type": "string"
229 }
230 }
231 },
232 "stats": {
233 "type": "object",
234 "properties": {
235 "inputBodyLen": {
236 "type": "integer",
237 "example": 2000
238 },
239 "rebootCount": {
240 "type": "integer",
241 "example": 0
242 },
243 "restartCount": {
244 "type": "integer",
245 "example": 0
246 },
247 "resurrectCount": {
248 "type": "integer",
249 "example": 0
250 },
251 "computeUnits": {
252 "type": "integer",
253 "example": 0
254 }
255 }
256 },
257 "options": {
258 "type": "object",
259 "properties": {
260 "build": {
261 "type": "string",
262 "example": "latest"
263 },
264 "timeoutSecs": {
265 "type": "integer",
266 "example": 300
267 },
268 "memoryMbytes": {
269 "type": "integer",
270 "example": 1024
271 },
272 "diskMbytes": {
273 "type": "integer",
274 "example": 2048
275 }
276 }
277 },
278 "buildId": {
279 "type": "string"
280 },
281 "defaultKeyValueStoreId": {
282 "type": "string"
283 },
284 "defaultDatasetId": {
285 "type": "string"
286 },
287 "defaultRequestQueueId": {
288 "type": "string"
289 },
290 "buildNumber": {
291 "type": "string",
292 "example": "1.0.0"
293 },
294 "containerUrl": {
295 "type": "string"
296 },
297 "usage": {
298 "type": "object",
299 "properties": {
300 "ACTOR_COMPUTE_UNITS": {
301 "type": "integer",
302 "example": 0
303 },
304 "DATASET_READS": {
305 "type": "integer",
306 "example": 0
307 },
308 "DATASET_WRITES": {
309 "type": "integer",
310 "example": 0
311 },
312 "KEY_VALUE_STORE_READS": {
313 "type": "integer",
314 "example": 0
315 },
316 "KEY_VALUE_STORE_WRITES": {
317 "type": "integer",
318 "example": 1
319 },
320 "KEY_VALUE_STORE_LISTS": {
321 "type": "integer",
322 "example": 0
323 },
324 "REQUEST_QUEUE_READS": {
325 "type": "integer",
326 "example": 0
327 },
328 "REQUEST_QUEUE_WRITES": {
329 "type": "integer",
330 "example": 0
331 },
332 "DATA_TRANSFER_INTERNAL_GBYTES": {
333 "type": "integer",
334 "example": 0
335 },
336 "DATA_TRANSFER_EXTERNAL_GBYTES": {
337 "type": "integer",
338 "example": 0
339 },
340 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
341 "type": "integer",
342 "example": 0
343 },
344 "PROXY_SERPS": {
345 "type": "integer",
346 "example": 0
347 }
348 }
349 },
350 "usageTotalUsd": {
351 "type": "number",
352 "example": 0.00005
353 },
354 "usageUsd": {
355 "type": "object",
356 "properties": {
357 "ACTOR_COMPUTE_UNITS": {
358 "type": "integer",
359 "example": 0
360 },
361 "DATASET_READS": {
362 "type": "integer",
363 "example": 0
364 },
365 "DATASET_WRITES": {
366 "type": "integer",
367 "example": 0
368 },
369 "KEY_VALUE_STORE_READS": {
370 "type": "integer",
371 "example": 0
372 },
373 "KEY_VALUE_STORE_WRITES": {
374 "type": "number",
375 "example": 0.00005
376 },
377 "KEY_VALUE_STORE_LISTS": {
378 "type": "integer",
379 "example": 0
380 },
381 "REQUEST_QUEUE_READS": {
382 "type": "integer",
383 "example": 0
384 },
385 "REQUEST_QUEUE_WRITES": {
386 "type": "integer",
387 "example": 0
388 },
389 "DATA_TRANSFER_INTERNAL_GBYTES": {
390 "type": "integer",
391 "example": 0
392 },
393 "DATA_TRANSFER_EXTERNAL_GBYTES": {
394 "type": "integer",
395 "example": 0
396 },
397 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
398 "type": "integer",
399 "example": 0
400 },
401 "PROXY_SERPS": {
402 "type": "integer",
403 "example": 0
404 }
405 }
406 }
407 }
408 }
409 }
410 }
411 }
412 }
413}Lightweight Facebook Pages 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 Lightweight Facebook Pages 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:
Developer
Oussema FRIKHAMaintained by Community
Actor Metrics
10 monthly users
-
9 bookmarks
>99% runs succeeded
2 hours response time
Created in May 2024
Modified a month ago
Categories
