Social & Email Scraper
Try for free
3 days trial then $20.00/month - No credit card required now
Go to Store
Social & Email Scraper
lead.gen.labs/social-email-scraper
Try for free
3 days trial then $20.00/month - No credit card required now
Empower your data quest! The Social & Email Scraper Apify Actor: your precision-driven solution for effortlessly extracting vital contact details from any webpage. Elevate outreach strategies with ease and conquer web data intricacies.
You can access the Social & Email Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "LyxcU6WdmPghanHFg"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/lead.gen.labs~social-email-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-lead.gen.labs-social-email-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/lead.gen.labs~social-email-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-lead.gen.labs-social-email-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/lead.gen.labs~social-email-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-lead.gen.labs-social-email-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": "Start URLs",
139 "type": "string",
140 "description": "Input your urls seperated by a whitespace or a comma. The url schema doesn't matter, you can input unvalid urls aswell."
141 },
142 "version": {
143 "title": "Async version.",
144 "type": "boolean",
145 "description": "If enabled, this option will use another version of the actor which is faster than the normal one (this version is in beta version)",
146 "default": true
147 },
148 "empty": {
149 "title": "Skip empty results.",
150 "type": "boolean",
151 "description": "If enabled, this option prevents the inclusion of empty results to the output.",
152 "default": true
153 },
154 "pattern": {
155 "title": "Regex pattern.",
156 "type": "array",
157 "description": "Enter your regex patterns. The pattern must not contain quotation marks.",
158 "items": {
159 "type": "string"
160 }
161 },
162 "maxCrawlDepth": {
163 "title": "Max crawling depth",
164 "minimum": 0,
165 "type": "integer",
166 "description": "Specify the maximum page limit that the web scraper will traverse in its search for email addresses and social media links. More there is pages to crawl, the slower will be the scraper's performance and the cost will be higher. It is advisable to keep the document length within a maximum of 5 pages.",
167 "default": 0
168 }
169 }
170 },
171 "runsResponseSchema": {
172 "type": "object",
173 "properties": {
174 "data": {
175 "type": "object",
176 "properties": {
177 "id": {
178 "type": "string"
179 },
180 "actId": {
181 "type": "string"
182 },
183 "userId": {
184 "type": "string"
185 },
186 "startedAt": {
187 "type": "string",
188 "format": "date-time",
189 "example": "2025-01-08T00:00:00.000Z"
190 },
191 "finishedAt": {
192 "type": "string",
193 "format": "date-time",
194 "example": "2025-01-08T00:00:00.000Z"
195 },
196 "status": {
197 "type": "string",
198 "example": "READY"
199 },
200 "meta": {
201 "type": "object",
202 "properties": {
203 "origin": {
204 "type": "string",
205 "example": "API"
206 },
207 "userAgent": {
208 "type": "string"
209 }
210 }
211 },
212 "stats": {
213 "type": "object",
214 "properties": {
215 "inputBodyLen": {
216 "type": "integer",
217 "example": 2000
218 },
219 "rebootCount": {
220 "type": "integer",
221 "example": 0
222 },
223 "restartCount": {
224 "type": "integer",
225 "example": 0
226 },
227 "resurrectCount": {
228 "type": "integer",
229 "example": 0
230 },
231 "computeUnits": {
232 "type": "integer",
233 "example": 0
234 }
235 }
236 },
237 "options": {
238 "type": "object",
239 "properties": {
240 "build": {
241 "type": "string",
242 "example": "latest"
243 },
244 "timeoutSecs": {
245 "type": "integer",
246 "example": 300
247 },
248 "memoryMbytes": {
249 "type": "integer",
250 "example": 1024
251 },
252 "diskMbytes": {
253 "type": "integer",
254 "example": 2048
255 }
256 }
257 },
258 "buildId": {
259 "type": "string"
260 },
261 "defaultKeyValueStoreId": {
262 "type": "string"
263 },
264 "defaultDatasetId": {
265 "type": "string"
266 },
267 "defaultRequestQueueId": {
268 "type": "string"
269 },
270 "buildNumber": {
271 "type": "string",
272 "example": "1.0.0"
273 },
274 "containerUrl": {
275 "type": "string"
276 },
277 "usage": {
278 "type": "object",
279 "properties": {
280 "ACTOR_COMPUTE_UNITS": {
281 "type": "integer",
282 "example": 0
283 },
284 "DATASET_READS": {
285 "type": "integer",
286 "example": 0
287 },
288 "DATASET_WRITES": {
289 "type": "integer",
290 "example": 0
291 },
292 "KEY_VALUE_STORE_READS": {
293 "type": "integer",
294 "example": 0
295 },
296 "KEY_VALUE_STORE_WRITES": {
297 "type": "integer",
298 "example": 1
299 },
300 "KEY_VALUE_STORE_LISTS": {
301 "type": "integer",
302 "example": 0
303 },
304 "REQUEST_QUEUE_READS": {
305 "type": "integer",
306 "example": 0
307 },
308 "REQUEST_QUEUE_WRITES": {
309 "type": "integer",
310 "example": 0
311 },
312 "DATA_TRANSFER_INTERNAL_GBYTES": {
313 "type": "integer",
314 "example": 0
315 },
316 "DATA_TRANSFER_EXTERNAL_GBYTES": {
317 "type": "integer",
318 "example": 0
319 },
320 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
321 "type": "integer",
322 "example": 0
323 },
324 "PROXY_SERPS": {
325 "type": "integer",
326 "example": 0
327 }
328 }
329 },
330 "usageTotalUsd": {
331 "type": "number",
332 "example": 0.00005
333 },
334 "usageUsd": {
335 "type": "object",
336 "properties": {
337 "ACTOR_COMPUTE_UNITS": {
338 "type": "integer",
339 "example": 0
340 },
341 "DATASET_READS": {
342 "type": "integer",
343 "example": 0
344 },
345 "DATASET_WRITES": {
346 "type": "integer",
347 "example": 0
348 },
349 "KEY_VALUE_STORE_READS": {
350 "type": "integer",
351 "example": 0
352 },
353 "KEY_VALUE_STORE_WRITES": {
354 "type": "number",
355 "example": 0.00005
356 },
357 "KEY_VALUE_STORE_LISTS": {
358 "type": "integer",
359 "example": 0
360 },
361 "REQUEST_QUEUE_READS": {
362 "type": "integer",
363 "example": 0
364 },
365 "REQUEST_QUEUE_WRITES": {
366 "type": "integer",
367 "example": 0
368 },
369 "DATA_TRANSFER_INTERNAL_GBYTES": {
370 "type": "integer",
371 "example": 0
372 },
373 "DATA_TRANSFER_EXTERNAL_GBYTES": {
374 "type": "integer",
375 "example": 0
376 },
377 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
378 "type": "integer",
379 "example": 0
380 },
381 "PROXY_SERPS": {
382 "type": "integer",
383 "example": 0
384 }
385 }
386 }
387 }
388 }
389 }
390 }
391 }
392 }
393}Social & Email 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 Social & Email Scraper from the options below:
If youโd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
Developer
LeadGen LabsMaintained by Community
Actor Metrics
31 monthly users
-
27 bookmarks
>99% runs succeeded
4.6 days response time
Created in Dec 2023
Modified a month ago
Categories
