All-in-One Social Media, Email & Phone Scraper
Try for free
1 day trial then $20.00/month - No credit card required now
Go to Store
All-in-One Social Media, Email & Phone Scraper
datavoyantlab/all-in-one-social-media-email-phone-scraper
Try for free
1 day trial then $20.00/month - No credit card required now
Social Email Phone Scraper scans websites intelligently to extract contact information, including emails, phones, and social profiles. Using strategic URL classification, it targets high-value pages first to minimize resource usage while maximizing data collection effectiveness.
Developer
DataVoyantLabMaintained by Community
Actor Metrics
12 Monthly users
No reviews yet
3 bookmarks
>99% runs succeeded
Created in Dec 2024
Modified a month ago
Categories
You can access the All-in-One Social Media, Email & Phone Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "devyctaWd8eOA0E65"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/datavoyantlab~all-in-one-social-media-email-phone-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-datavoyantlab-all-in-one-social-media-email-phone-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/datavoyantlab~all-in-one-social-media-email-phone-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-datavoyantlab-all-in-one-social-media-email-phone-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/datavoyantlab~all-in-one-social-media-email-phone-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-datavoyantlab-all-in-one-social-media-email-phone-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 "urls"
135 ],
136 "properties": {
137 "urls": {
138 "title": "urls",
139 "type": "array",
140 "description": "List of URLs to start scraping from.",
141 "items": {
142 "type": "string"
143 }
144 },
145 "proxy": {
146 "title": "Proxy Configuration",
147 "type": "object",
148 "description": "Proxy configuration for the run."
149 },
150 "maxDepth": {
151 "title": "Max depth",
152 "minimum": 1,
153 "maximum": 10,
154 "type": "integer",
155 "description": "Maximum depth of links to follow from the start URLs. The more depth you allow, the slower the run will be.",
156 "default": 1
157 },
158 "maxPagesPerUrl": {
159 "title": "Max pages",
160 "minimum": 1,
161 "maximum": 100,
162 "type": "integer",
163 "description": "Maximum number of pages to scrape per domain.",
164 "default": 10
165 },
166 "maxConcurrency": {
167 "title": "Max concurrency",
168 "minimum": 1,
169 "maximum": 10,
170 "type": "integer",
171 "description": "Maximum number of pages to scrape concurrently.",
172 "default": 10
173 }
174 }
175 },
176 "runsResponseSchema": {
177 "type": "object",
178 "properties": {
179 "data": {
180 "type": "object",
181 "properties": {
182 "id": {
183 "type": "string"
184 },
185 "actId": {
186 "type": "string"
187 },
188 "userId": {
189 "type": "string"
190 },
191 "startedAt": {
192 "type": "string",
193 "format": "date-time",
194 "example": "2025-01-08T00:00:00.000Z"
195 },
196 "finishedAt": {
197 "type": "string",
198 "format": "date-time",
199 "example": "2025-01-08T00:00:00.000Z"
200 },
201 "status": {
202 "type": "string",
203 "example": "READY"
204 },
205 "meta": {
206 "type": "object",
207 "properties": {
208 "origin": {
209 "type": "string",
210 "example": "API"
211 },
212 "userAgent": {
213 "type": "string"
214 }
215 }
216 },
217 "stats": {
218 "type": "object",
219 "properties": {
220 "inputBodyLen": {
221 "type": "integer",
222 "example": 2000
223 },
224 "rebootCount": {
225 "type": "integer",
226 "example": 0
227 },
228 "restartCount": {
229 "type": "integer",
230 "example": 0
231 },
232 "resurrectCount": {
233 "type": "integer",
234 "example": 0
235 },
236 "computeUnits": {
237 "type": "integer",
238 "example": 0
239 }
240 }
241 },
242 "options": {
243 "type": "object",
244 "properties": {
245 "build": {
246 "type": "string",
247 "example": "latest"
248 },
249 "timeoutSecs": {
250 "type": "integer",
251 "example": 300
252 },
253 "memoryMbytes": {
254 "type": "integer",
255 "example": 1024
256 },
257 "diskMbytes": {
258 "type": "integer",
259 "example": 2048
260 }
261 }
262 },
263 "buildId": {
264 "type": "string"
265 },
266 "defaultKeyValueStoreId": {
267 "type": "string"
268 },
269 "defaultDatasetId": {
270 "type": "string"
271 },
272 "defaultRequestQueueId": {
273 "type": "string"
274 },
275 "buildNumber": {
276 "type": "string",
277 "example": "1.0.0"
278 },
279 "containerUrl": {
280 "type": "string"
281 },
282 "usage": {
283 "type": "object",
284 "properties": {
285 "ACTOR_COMPUTE_UNITS": {
286 "type": "integer",
287 "example": 0
288 },
289 "DATASET_READS": {
290 "type": "integer",
291 "example": 0
292 },
293 "DATASET_WRITES": {
294 "type": "integer",
295 "example": 0
296 },
297 "KEY_VALUE_STORE_READS": {
298 "type": "integer",
299 "example": 0
300 },
301 "KEY_VALUE_STORE_WRITES": {
302 "type": "integer",
303 "example": 1
304 },
305 "KEY_VALUE_STORE_LISTS": {
306 "type": "integer",
307 "example": 0
308 },
309 "REQUEST_QUEUE_READS": {
310 "type": "integer",
311 "example": 0
312 },
313 "REQUEST_QUEUE_WRITES": {
314 "type": "integer",
315 "example": 0
316 },
317 "DATA_TRANSFER_INTERNAL_GBYTES": {
318 "type": "integer",
319 "example": 0
320 },
321 "DATA_TRANSFER_EXTERNAL_GBYTES": {
322 "type": "integer",
323 "example": 0
324 },
325 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
326 "type": "integer",
327 "example": 0
328 },
329 "PROXY_SERPS": {
330 "type": "integer",
331 "example": 0
332 }
333 }
334 },
335 "usageTotalUsd": {
336 "type": "number",
337 "example": 0.00005
338 },
339 "usageUsd": {
340 "type": "object",
341 "properties": {
342 "ACTOR_COMPUTE_UNITS": {
343 "type": "integer",
344 "example": 0
345 },
346 "DATASET_READS": {
347 "type": "integer",
348 "example": 0
349 },
350 "DATASET_WRITES": {
351 "type": "integer",
352 "example": 0
353 },
354 "KEY_VALUE_STORE_READS": {
355 "type": "integer",
356 "example": 0
357 },
358 "KEY_VALUE_STORE_WRITES": {
359 "type": "number",
360 "example": 0.00005
361 },
362 "KEY_VALUE_STORE_LISTS": {
363 "type": "integer",
364 "example": 0
365 },
366 "REQUEST_QUEUE_READS": {
367 "type": "integer",
368 "example": 0
369 },
370 "REQUEST_QUEUE_WRITES": {
371 "type": "integer",
372 "example": 0
373 },
374 "DATA_TRANSFER_INTERNAL_GBYTES": {
375 "type": "integer",
376 "example": 0
377 },
378 "DATA_TRANSFER_EXTERNAL_GBYTES": {
379 "type": "integer",
380 "example": 0
381 },
382 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
383 "type": "integer",
384 "example": 0
385 },
386 "PROXY_SERPS": {
387 "type": "integer",
388 "example": 0
389 }
390 }
391 }
392 }
393 }
394 }
395 }
396 }
397 }
398}All-in-One Social Media, Email & Phone 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 All-in-One Social Media, Email & Phone 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:
