PubMed Articles Scraper 📚🎓
Try for free
2 hours trial then $18.99/month - No credit card required now
Go to Store
PubMed Articles Scraper 📚🎓
scrapestorm/pubmed-articles-scraper
Try for free
2 hours trial then $18.99/month - No credit card required now
Easily retrieve relevant academic articles from PubMed with this powerful scraper 🔍. Customize results with filters like max items to extract 🔢 and sorting options like "e.g Best match" 🏆. Ideal for medical research, scientific papers, and gathering references fast! 🌍
Developer
Storm_ScraperMaintained by Community
Actor Metrics
1 Monthly user
No reviews yet
1 bookmark
Created in Mar 2025
Modified 14 hours ago
Categories
You can access the PubMed Articles Scraper 📚🎓 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "0.0",
5 "x-build-id": "K3kCBYnQ2WUJ5Q8iS"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/scrapestorm~pubmed-articles-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-scrapestorm-pubmed-articles-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/scrapestorm~pubmed-articles-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-scrapestorm-pubmed-articles-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/scrapestorm~pubmed-articles-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-scrapestorm-pubmed-articles-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": "The keyword or subject you wish to search articles for on Pubmed 🔍🎓",
139 "type": "string",
140 "description": "The keyword or subject you wish to search articles for on Pubmed 🔍🎓",
141 "default": "Heart disease"
142 },
143 "maxitems": {
144 "title": "Maximum number of results you want to scrape 📊",
145 "type": "integer",
146 "description": "Maximum number of results you want to scrape 📊",
147 "default": 100
148 },
149 "sort_by": {
150 "title": "Select a Sort type 🌍",
151 "enum": [
152 "Best match",
153 "Most recent",
154 "Publication date",
155 "First Author",
156 "Journal"
157 ],
158 "type": "string",
159 "description": "Select a Sort type 🌍",
160 "default": "Best match"
161 }
162 }
163 },
164 "runsResponseSchema": {
165 "type": "object",
166 "properties": {
167 "data": {
168 "type": "object",
169 "properties": {
170 "id": {
171 "type": "string"
172 },
173 "actId": {
174 "type": "string"
175 },
176 "userId": {
177 "type": "string"
178 },
179 "startedAt": {
180 "type": "string",
181 "format": "date-time",
182 "example": "2025-01-08T00:00:00.000Z"
183 },
184 "finishedAt": {
185 "type": "string",
186 "format": "date-time",
187 "example": "2025-01-08T00:00:00.000Z"
188 },
189 "status": {
190 "type": "string",
191 "example": "READY"
192 },
193 "meta": {
194 "type": "object",
195 "properties": {
196 "origin": {
197 "type": "string",
198 "example": "API"
199 },
200 "userAgent": {
201 "type": "string"
202 }
203 }
204 },
205 "stats": {
206 "type": "object",
207 "properties": {
208 "inputBodyLen": {
209 "type": "integer",
210 "example": 2000
211 },
212 "rebootCount": {
213 "type": "integer",
214 "example": 0
215 },
216 "restartCount": {
217 "type": "integer",
218 "example": 0
219 },
220 "resurrectCount": {
221 "type": "integer",
222 "example": 0
223 },
224 "computeUnits": {
225 "type": "integer",
226 "example": 0
227 }
228 }
229 },
230 "options": {
231 "type": "object",
232 "properties": {
233 "build": {
234 "type": "string",
235 "example": "latest"
236 },
237 "timeoutSecs": {
238 "type": "integer",
239 "example": 300
240 },
241 "memoryMbytes": {
242 "type": "integer",
243 "example": 1024
244 },
245 "diskMbytes": {
246 "type": "integer",
247 "example": 2048
248 }
249 }
250 },
251 "buildId": {
252 "type": "string"
253 },
254 "defaultKeyValueStoreId": {
255 "type": "string"
256 },
257 "defaultDatasetId": {
258 "type": "string"
259 },
260 "defaultRequestQueueId": {
261 "type": "string"
262 },
263 "buildNumber": {
264 "type": "string",
265 "example": "1.0.0"
266 },
267 "containerUrl": {
268 "type": "string"
269 },
270 "usage": {
271 "type": "object",
272 "properties": {
273 "ACTOR_COMPUTE_UNITS": {
274 "type": "integer",
275 "example": 0
276 },
277 "DATASET_READS": {
278 "type": "integer",
279 "example": 0
280 },
281 "DATASET_WRITES": {
282 "type": "integer",
283 "example": 0
284 },
285 "KEY_VALUE_STORE_READS": {
286 "type": "integer",
287 "example": 0
288 },
289 "KEY_VALUE_STORE_WRITES": {
290 "type": "integer",
291 "example": 1
292 },
293 "KEY_VALUE_STORE_LISTS": {
294 "type": "integer",
295 "example": 0
296 },
297 "REQUEST_QUEUE_READS": {
298 "type": "integer",
299 "example": 0
300 },
301 "REQUEST_QUEUE_WRITES": {
302 "type": "integer",
303 "example": 0
304 },
305 "DATA_TRANSFER_INTERNAL_GBYTES": {
306 "type": "integer",
307 "example": 0
308 },
309 "DATA_TRANSFER_EXTERNAL_GBYTES": {
310 "type": "integer",
311 "example": 0
312 },
313 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
314 "type": "integer",
315 "example": 0
316 },
317 "PROXY_SERPS": {
318 "type": "integer",
319 "example": 0
320 }
321 }
322 },
323 "usageTotalUsd": {
324 "type": "number",
325 "example": 0.00005
326 },
327 "usageUsd": {
328 "type": "object",
329 "properties": {
330 "ACTOR_COMPUTE_UNITS": {
331 "type": "integer",
332 "example": 0
333 },
334 "DATASET_READS": {
335 "type": "integer",
336 "example": 0
337 },
338 "DATASET_WRITES": {
339 "type": "integer",
340 "example": 0
341 },
342 "KEY_VALUE_STORE_READS": {
343 "type": "integer",
344 "example": 0
345 },
346 "KEY_VALUE_STORE_WRITES": {
347 "type": "number",
348 "example": 0.00005
349 },
350 "KEY_VALUE_STORE_LISTS": {
351 "type": "integer",
352 "example": 0
353 },
354 "REQUEST_QUEUE_READS": {
355 "type": "integer",
356 "example": 0
357 },
358 "REQUEST_QUEUE_WRITES": {
359 "type": "integer",
360 "example": 0
361 },
362 "DATA_TRANSFER_INTERNAL_GBYTES": {
363 "type": "integer",
364 "example": 0
365 },
366 "DATA_TRANSFER_EXTERNAL_GBYTES": {
367 "type": "integer",
368 "example": 0
369 },
370 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
371 "type": "integer",
372 "example": 0
373 },
374 "PROXY_SERPS": {
375 "type": "integer",
376 "example": 0
377 }
378 }
379 }
380 }
381 }
382 }
383 }
384 }
385 }
386}PubMed Articles 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 PubMed Articles 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:
