
Advanced Product Hunt Scraper
3 days trial then $15.00/month - No credit card required now

Advanced Product Hunt Scraper
3 days trial then $15.00/month - No credit card required now
Scrape product hunt "Top Products Launching Today" section. Actor crawls products and extracts information about the product: title, description, categories, images, maker info with contact links and website info with raw text and email. Export scraped datasets in JSON, csv, etc. Run via API.
You can access the Advanced Product Hunt Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "1.1",
5 "x-build-id": "ggwp1AVb2a2A14pJr"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/danpoletaev~product-hunt-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-danpoletaev-product-hunt-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/danpoletaev~product-hunt-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-danpoletaev-product-hunt-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/danpoletaev~product-hunt-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-danpoletaev-product-hunt-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 "properties": {
134 "scrapeMakers": {
135 "title": "Scrape Makers",
136 "type": "boolean",
137 "description": "Set to true, if you want to get information about maker of the product",
138 "default": true
139 },
140 "scrapeWebsite": {
141 "title": "Scrape Website Data",
142 "type": "boolean",
143 "description": "Set to true, if you want to get product's email and/or content of the product's website",
144 "default": true
145 },
146 "archiveDate": {
147 "title": "Enter the date if you want to scrape the the archive page. SHOULD BE IN FORMAT: YYYY-MM-DD",
148 "type": "string",
149 "description": "If the date is given, we scrape following url https://www.producthunt.com/leaderboard/daily/YYYY/MM/DD/all"
150 },
151 "filter": {
152 "title": "Filter",
153 "type": "object",
154 "description": "Used to specify whether we should filter products or not. This is optional and without filling filter you'll fetch all of the listings for the following day."
155 },
156 "saveWebsiteContent": {
157 "title": "Save Product's website content",
158 "type": "boolean",
159 "description": "Set to true, if you want to set the content of the website to websiteRawText",
160 "default": true
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}
Advanced Product Hunt 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 Advanced Product Hunt 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:
Actor Metrics
49 monthly users
-
13 bookmarks
>99% runs succeeded
1.1 days response time
Created in Feb 2024
Modified 11 days ago