
Google Map Scraper With Email and Limit Bypassed
Pricing
$25.00/month + usage

Google Map Scraper With Email and Limit Bypassed
Scrape Google Maps by keyword, location. Capture essential details like addresses, contact information, opening hours, email addresses, and social media profiles. Export the scraped data easily, automate the scraper with API access, and integrate seamlessly with other tools.
0.0 (0)
Pricing
$25.00/month + usage
3
Monthly users
12
Runs succeeded
63%
Last modified
a month ago
You can access the Google Map Scraper With Email and Limit Bypassed programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "tqgsIA6kgBOWGUtxd"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/scrap3r~google-map-scraper-with-email/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-scrap3r-google-map-scraper-with-email",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/scrap3r~google-map-scraper-with-email/runs": {
50 "post": {
51 "operationId": "runs-sync-scrap3r-google-map-scraper-with-email",
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/scrap3r~google-map-scraper-with-email/run-sync": {
93 "post": {
94 "operationId": "run-sync-scrap3r-google-map-scraper-with-email",
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 "location",
135 "query",
136 "maxPerq"
137 ],
138 "properties": {
139 "location": {
140 "title": "πLocation of the business",
141 "type": "string",
142 "description": "for simple usage, you can enter city name, country name like that but if you need more results go to google maps and zoom out where you want to get the data and get this part from the url : `@50.7298744,11.0520642,8.96z` full url is : `https://www.google.com/maps/@50.7298744,11.0520642,8.96z`"
143 },
144 "query": {
145 "title": "π Keywords to search",
146 "type": "array",
147 "description": "When searching on Google Maps, enter your query exactly as you would in the search bar. Use specific, targeted keywords like `hotels` or `doctors`. *Key Search Tips* 1. Keyword Selection - Choose **unique search terms** - Each term requires similar processing time - Vary related keywords to potentially capture more results - *Examples:* `doctor`, `hotels`, `motels` *2. Search Efficiency* - Avoid overly broad terms - Use precise, descriptive keywords - Understand that similar terms have slight variations in result capture rates *Location Considerations* - Adding location (e.g., `restaurant USA`) limits results. - *Pros of location-specific search:* - Quick results - Immediate local focus - *Cons:* - Restricted result volume - Potential missed opportunities *Recommended Approach* Start with broad, distinct search terms and refine as needed to maximize: - Result diversity - Comprehensive coverage *Pro Tip:* Experiment with different keyword combinations to optimize your search strategy.",
148 "items": {
149 "type": "string"
150 }
151 },
152 "maxPerq": {
153 "title": "π Number of results per query",
154 "minimum": 0,
155 "type": "integer",
156 "description": "This is the maximum number of results you will obtain for each query. A higher number will take longer to scrape. If you want to scrape all results available, set this value to 0",
157 "default": 0
158 },
159 "radius": {
160 "title": "π Search Radius",
161 "minimum": 1,
162 "type": "integer",
163 "description": "The radius in meters within which to search for locations. Default is 50000 meters.",
164 "default": 50000
165 }
166 }
167 },
168 "runsResponseSchema": {
169 "type": "object",
170 "properties": {
171 "data": {
172 "type": "object",
173 "properties": {
174 "id": {
175 "type": "string"
176 },
177 "actId": {
178 "type": "string"
179 },
180 "userId": {
181 "type": "string"
182 },
183 "startedAt": {
184 "type": "string",
185 "format": "date-time",
186 "example": "2025-01-08T00:00:00.000Z"
187 },
188 "finishedAt": {
189 "type": "string",
190 "format": "date-time",
191 "example": "2025-01-08T00:00:00.000Z"
192 },
193 "status": {
194 "type": "string",
195 "example": "READY"
196 },
197 "meta": {
198 "type": "object",
199 "properties": {
200 "origin": {
201 "type": "string",
202 "example": "API"
203 },
204 "userAgent": {
205 "type": "string"
206 }
207 }
208 },
209 "stats": {
210 "type": "object",
211 "properties": {
212 "inputBodyLen": {
213 "type": "integer",
214 "example": 2000
215 },
216 "rebootCount": {
217 "type": "integer",
218 "example": 0
219 },
220 "restartCount": {
221 "type": "integer",
222 "example": 0
223 },
224 "resurrectCount": {
225 "type": "integer",
226 "example": 0
227 },
228 "computeUnits": {
229 "type": "integer",
230 "example": 0
231 }
232 }
233 },
234 "options": {
235 "type": "object",
236 "properties": {
237 "build": {
238 "type": "string",
239 "example": "latest"
240 },
241 "timeoutSecs": {
242 "type": "integer",
243 "example": 300
244 },
245 "memoryMbytes": {
246 "type": "integer",
247 "example": 1024
248 },
249 "diskMbytes": {
250 "type": "integer",
251 "example": 2048
252 }
253 }
254 },
255 "buildId": {
256 "type": "string"
257 },
258 "defaultKeyValueStoreId": {
259 "type": "string"
260 },
261 "defaultDatasetId": {
262 "type": "string"
263 },
264 "defaultRequestQueueId": {
265 "type": "string"
266 },
267 "buildNumber": {
268 "type": "string",
269 "example": "1.0.0"
270 },
271 "containerUrl": {
272 "type": "string"
273 },
274 "usage": {
275 "type": "object",
276 "properties": {
277 "ACTOR_COMPUTE_UNITS": {
278 "type": "integer",
279 "example": 0
280 },
281 "DATASET_READS": {
282 "type": "integer",
283 "example": 0
284 },
285 "DATASET_WRITES": {
286 "type": "integer",
287 "example": 0
288 },
289 "KEY_VALUE_STORE_READS": {
290 "type": "integer",
291 "example": 0
292 },
293 "KEY_VALUE_STORE_WRITES": {
294 "type": "integer",
295 "example": 1
296 },
297 "KEY_VALUE_STORE_LISTS": {
298 "type": "integer",
299 "example": 0
300 },
301 "REQUEST_QUEUE_READS": {
302 "type": "integer",
303 "example": 0
304 },
305 "REQUEST_QUEUE_WRITES": {
306 "type": "integer",
307 "example": 0
308 },
309 "DATA_TRANSFER_INTERNAL_GBYTES": {
310 "type": "integer",
311 "example": 0
312 },
313 "DATA_TRANSFER_EXTERNAL_GBYTES": {
314 "type": "integer",
315 "example": 0
316 },
317 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
318 "type": "integer",
319 "example": 0
320 },
321 "PROXY_SERPS": {
322 "type": "integer",
323 "example": 0
324 }
325 }
326 },
327 "usageTotalUsd": {
328 "type": "number",
329 "example": 0.00005
330 },
331 "usageUsd": {
332 "type": "object",
333 "properties": {
334 "ACTOR_COMPUTE_UNITS": {
335 "type": "integer",
336 "example": 0
337 },
338 "DATASET_READS": {
339 "type": "integer",
340 "example": 0
341 },
342 "DATASET_WRITES": {
343 "type": "integer",
344 "example": 0
345 },
346 "KEY_VALUE_STORE_READS": {
347 "type": "integer",
348 "example": 0
349 },
350 "KEY_VALUE_STORE_WRITES": {
351 "type": "number",
352 "example": 0.00005
353 },
354 "KEY_VALUE_STORE_LISTS": {
355 "type": "integer",
356 "example": 0
357 },
358 "REQUEST_QUEUE_READS": {
359 "type": "integer",
360 "example": 0
361 },
362 "REQUEST_QUEUE_WRITES": {
363 "type": "integer",
364 "example": 0
365 },
366 "DATA_TRANSFER_INTERNAL_GBYTES": {
367 "type": "integer",
368 "example": 0
369 },
370 "DATA_TRANSFER_EXTERNAL_GBYTES": {
371 "type": "integer",
372 "example": 0
373 },
374 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
375 "type": "integer",
376 "example": 0
377 },
378 "PROXY_SERPS": {
379 "type": "integer",
380 "example": 0
381 }
382 }
383 }
384 }
385 }
386 }
387 }
388 }
389 }
390}
Google Map Scraper With Email and Limit Bypassed 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 Google Map Scraper With Email and Limit Bypassed from the options below:
If youβd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
Pricing
Pricing model
RentalΒTo use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.
Free trial
1 day
Price
$25.00