All-in-One Social Media Email Scraper ๐ง
Try for free
2 hours trial then $10.00/month - No credit card required now
Go to Store
All-in-One Social Media Email Scraper ๐ง
scraper-mind/all-social-media-email-scraper
Try for free
2 hours trial then $10.00/month - No credit card required now
[๐๐ต๐ฒ๐ฎ๐ฝ๐ฒ๐๐ ๐ฃ๐ฟ๐ถ๐ฐ๐ฒ] Boost your lead generation with the All in One Social Media Email Scraper! Extract emails from 40+ platforms, including Facebook, Instagram, LinkedIn & more. Affordable at just $10/month! Get accurate, structured data for outreach, influencer marketing & research. ๐๐ง
You can access the All-in-One Social Media Email Scraper ๐ง programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.1",
5 "x-build-id": "fourm8Fm4eIVf1EMV"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/scraper-mind~all-social-media-email-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-scraper-mind-all-social-media-email-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/scraper-mind~all-social-media-email-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-scraper-mind-all-social-media-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/scraper-mind~all-social-media-email-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-scraper-mind-all-social-media-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 "keyword"
135 ],
136 "properties": {
137 "keyword": {
138 "title": "Keyword",
139 "type": "string",
140 "description": "The keyword to search for.",
141 "default": "marketing jobs"
142 },
143 "platform": {
144 "title": "Platform",
145 "enum": [
146 "Facebook",
147 "YouTube",
148 "Instagram",
149 "TikTok",
150 "Telegram",
151 "Snapchat",
152 "LinkedIn",
153 "Twitter/X",
154 "Pinterest",
155 "Reddit",
156 "Spotify",
157 "Douyin",
158 "Amazon",
159 "Alibaba",
160 "Twitch",
161 "Quora",
162 "Medium",
163 "Tripadvisor",
164 "Yelp",
165 "AliExpress",
166 "eBay",
167 "Etsy",
168 "Vimeo",
169 "Github",
170 "SoundCloud",
171 "Goodreads",
172 "Tumblr",
173 "Eventbrite",
174 "Meetup",
175 "Stack Overflow",
176 "Flickr",
177 "DeviantArt",
178 "Patreon",
179 "Kickstarter",
180 "Threads",
181 "Behance",
182 "Dribbble",
183 "Bluesky",
184 "Mastodon",
185 "Last.fm"
186 ],
187 "type": "string",
188 "description": "Select platform.",
189 "default": "Instagram"
190 },
191 "customDomains": {
192 "title": "Custom Email Domains",
193 "type": "array",
194 "description": "List of custom email domains",
195 "default": [
196 "@gmail.com",
197 "@yahoo.com"
198 ],
199 "items": {
200 "type": "string"
201 }
202 },
203 "proxyConfiguration": {
204 "title": "Proxy Configuration",
205 "type": "object",
206 "description": "Configure proxies for this Actor."
207 }
208 }
209 },
210 "runsResponseSchema": {
211 "type": "object",
212 "properties": {
213 "data": {
214 "type": "object",
215 "properties": {
216 "id": {
217 "type": "string"
218 },
219 "actId": {
220 "type": "string"
221 },
222 "userId": {
223 "type": "string"
224 },
225 "startedAt": {
226 "type": "string",
227 "format": "date-time",
228 "example": "2025-01-08T00:00:00.000Z"
229 },
230 "finishedAt": {
231 "type": "string",
232 "format": "date-time",
233 "example": "2025-01-08T00:00:00.000Z"
234 },
235 "status": {
236 "type": "string",
237 "example": "READY"
238 },
239 "meta": {
240 "type": "object",
241 "properties": {
242 "origin": {
243 "type": "string",
244 "example": "API"
245 },
246 "userAgent": {
247 "type": "string"
248 }
249 }
250 },
251 "stats": {
252 "type": "object",
253 "properties": {
254 "inputBodyLen": {
255 "type": "integer",
256 "example": 2000
257 },
258 "rebootCount": {
259 "type": "integer",
260 "example": 0
261 },
262 "restartCount": {
263 "type": "integer",
264 "example": 0
265 },
266 "resurrectCount": {
267 "type": "integer",
268 "example": 0
269 },
270 "computeUnits": {
271 "type": "integer",
272 "example": 0
273 }
274 }
275 },
276 "options": {
277 "type": "object",
278 "properties": {
279 "build": {
280 "type": "string",
281 "example": "latest"
282 },
283 "timeoutSecs": {
284 "type": "integer",
285 "example": 300
286 },
287 "memoryMbytes": {
288 "type": "integer",
289 "example": 1024
290 },
291 "diskMbytes": {
292 "type": "integer",
293 "example": 2048
294 }
295 }
296 },
297 "buildId": {
298 "type": "string"
299 },
300 "defaultKeyValueStoreId": {
301 "type": "string"
302 },
303 "defaultDatasetId": {
304 "type": "string"
305 },
306 "defaultRequestQueueId": {
307 "type": "string"
308 },
309 "buildNumber": {
310 "type": "string",
311 "example": "1.0.0"
312 },
313 "containerUrl": {
314 "type": "string"
315 },
316 "usage": {
317 "type": "object",
318 "properties": {
319 "ACTOR_COMPUTE_UNITS": {
320 "type": "integer",
321 "example": 0
322 },
323 "DATASET_READS": {
324 "type": "integer",
325 "example": 0
326 },
327 "DATASET_WRITES": {
328 "type": "integer",
329 "example": 0
330 },
331 "KEY_VALUE_STORE_READS": {
332 "type": "integer",
333 "example": 0
334 },
335 "KEY_VALUE_STORE_WRITES": {
336 "type": "integer",
337 "example": 1
338 },
339 "KEY_VALUE_STORE_LISTS": {
340 "type": "integer",
341 "example": 0
342 },
343 "REQUEST_QUEUE_READS": {
344 "type": "integer",
345 "example": 0
346 },
347 "REQUEST_QUEUE_WRITES": {
348 "type": "integer",
349 "example": 0
350 },
351 "DATA_TRANSFER_INTERNAL_GBYTES": {
352 "type": "integer",
353 "example": 0
354 },
355 "DATA_TRANSFER_EXTERNAL_GBYTES": {
356 "type": "integer",
357 "example": 0
358 },
359 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
360 "type": "integer",
361 "example": 0
362 },
363 "PROXY_SERPS": {
364 "type": "integer",
365 "example": 0
366 }
367 }
368 },
369 "usageTotalUsd": {
370 "type": "number",
371 "example": 0.00005
372 },
373 "usageUsd": {
374 "type": "object",
375 "properties": {
376 "ACTOR_COMPUTE_UNITS": {
377 "type": "integer",
378 "example": 0
379 },
380 "DATASET_READS": {
381 "type": "integer",
382 "example": 0
383 },
384 "DATASET_WRITES": {
385 "type": "integer",
386 "example": 0
387 },
388 "KEY_VALUE_STORE_READS": {
389 "type": "integer",
390 "example": 0
391 },
392 "KEY_VALUE_STORE_WRITES": {
393 "type": "number",
394 "example": 0.00005
395 },
396 "KEY_VALUE_STORE_LISTS": {
397 "type": "integer",
398 "example": 0
399 },
400 "REQUEST_QUEUE_READS": {
401 "type": "integer",
402 "example": 0
403 },
404 "REQUEST_QUEUE_WRITES": {
405 "type": "integer",
406 "example": 0
407 },
408 "DATA_TRANSFER_INTERNAL_GBYTES": {
409 "type": "integer",
410 "example": 0
411 },
412 "DATA_TRANSFER_EXTERNAL_GBYTES": {
413 "type": "integer",
414 "example": 0
415 },
416 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
417 "type": "integer",
418 "example": 0
419 },
420 "PROXY_SERPS": {
421 "type": "integer",
422 "example": 0
423 }
424 }
425 }
426 }
427 }
428 }
429 }
430 }
431 }
432}Social Media 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 All-in-One Social Media Email Scraper ๐ง 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
Scraper MindMaintained by Community
Actor Metrics
6 monthly users
-
0 No stars yet
>99% runs succeeded
Created in Feb 2025
Modified 2 days ago
Categories
