Dexscreener Scraper
Try for free
This Actor is paid per event
Go to Store
Dexscreener Scraper
muhammetakkurtt/dexscreener-scraper
Try for free
This Actor is paid per event
DexScreener Token Scraper collects real-time cryptocurrency data from DexScreener. It extracts token prices, liquidity, volumes and transactions across multiple blockchains (Solana, Ethereum, BSC). Supports custom sorting, time frames and delivers comprehensive token analytics for market analysis.
Developer
Muhammet AkkurtMaintained by Community
Actor Metrics
4 monthly users
No reviews yet
2 bookmarks
83% runs succeeded
Created in Mar 2025
Modified a day ago
Categories
You can access the Dexscreener 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": "hwcavm9347fENMSHO"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/muhammetakkurtt~dexscreener-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-muhammetakkurtt-dexscreener-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 "$ref": "#/components/schemas/inputSchema"
27 }
28 }
29 }
30 },
31 "parameters": [
32 {
33 "name": "token",
34 "in": "query",
35 "required": true,
36 "schema": {
37 "type": "string"
38 },
39 "description": "Enter your Apify token here"
40 }
41 ],
42 "responses": {
43 "200": {
44 "description": "OK"
45 }
46 }
47 }
48 },
49 "/acts/muhammetakkurtt~dexscreener-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-muhammetakkurtt-dexscreener-scraper",
52 "x-openai-isConsequential": false,
53 "summary": "Executes an Actor and returns information about the initiated run in response.",
54 "tags": [
55 "Run Actor"
56 ],
57 "requestBody": {
58 "required": true,
59 "content": {
60 "application/json": {
61 "schema": {
62 "$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 "$ref": "#/components/schemas/runsResponseSchema"
85 }
86 }
87 }
88 }
89 }
90 }
91 },
92 "/acts/muhammetakkurtt~dexscreener-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-muhammetakkurtt-dexscreener-scraper",
95 "x-openai-isConsequential": false,
96 "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
97 "tags": [
98 "Run Actor"
99 ],
100 "requestBody": {
101 "required": true,
102 "content": {
103 "application/json": {
104 "schema": {
105 "$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 "limit": {
135 "title": "Token Limit",
136 "minimum": 1,
137 "type": "integer",
138 "description": "Number of token data to fetch",
139 "default": 150
140 },
141 "pageCount": {
142 "title": "Page Count",
143 "minimum": 1,
144 "type": "integer",
145 "description": "Specify how many pages to scrape",
146 "default": 1
147 },
148 "chain": {
149 "title": "Blockchain",
150 "enum": [
151 "solana",
152 "ethereum",
153 "base",
154 "bsc",
155 "pulsechain",
156 "sonic",
157 "fantom",
158 "avalanche",
159 "abstract",
160 "polygon",
161 "cronos",
162 "arbitrum",
163 "berachain",
164 "apechain",
165 "hyperevm",
166 "blast",
167 "optimism",
168 "unichain",
169 "zksync",
170 "linea",
171 "ethereumpow"
172 ],
173 "type": "string",
174 "description": "Which blockchain to fetch token data from",
175 "default": "solana"
176 },
177 "allPools": {
178 "title": "All Liquidity Pools",
179 "type": "boolean",
180 "description": "Check this if you want to get all liquidity pools for each token. This provides more data but may take longer to process.",
181 "default": false
182 },
183 "timeFrame": {
184 "title": "Time Frame",
185 "enum": [
186 "m5",
187 "h1",
188 "h6",
189 "h24"
190 ],
191 "type": "string",
192 "description": "Time period for which data will be retrieved",
193 "default": "h24"
194 },
195 "sortOrder": {
196 "title": "Sort Order",
197 "enum": [
198 "desc",
199 "asc"
200 ],
201 "type": "string",
202 "description": "List tokens in ascending or descending order",
203 "default": "desc"
204 },
205 "sortRank": {
206 "title": "Sort Criteria",
207 "enum": [
208 "trendingScoreM5",
209 "trendingScoreH1",
210 "trendingScoreH6",
211 "trendingScoreH24",
212 "txns",
213 "buys",
214 "sells",
215 "volume",
216 "priceChangeH24",
217 "priceChangeH6",
218 "priceChangeH1",
219 "priceChangeM5",
220 "liquidity",
221 "marketCap",
222 "fdv",
223 "pairAge",
224 "activeBoosts"
225 ],
226 "type": "string",
227 "description": "Criteria used to sort tokens",
228 "default": "trendingScoreH6"
229 },
230 "proxyConfiguration": {
231 "title": "Proxy Configuration",
232 "type": "object",
233 "description": "Using a proxy is recommended for faster and more reliable results",
234 "default": {
235 "useApifyProxy": true,
236 "apifyProxyGroups": []
237 }
238 }
239 }
240 },
241 "runsResponseSchema": {
242 "type": "object",
243 "properties": {
244 "data": {
245 "type": "object",
246 "properties": {
247 "id": {
248 "type": "string"
249 },
250 "actId": {
251 "type": "string"
252 },
253 "userId": {
254 "type": "string"
255 },
256 "startedAt": {
257 "type": "string",
258 "format": "date-time",
259 "example": "2025-01-08T00:00:00.000Z"
260 },
261 "finishedAt": {
262 "type": "string",
263 "format": "date-time",
264 "example": "2025-01-08T00:00:00.000Z"
265 },
266 "status": {
267 "type": "string",
268 "example": "READY"
269 },
270 "meta": {
271 "type": "object",
272 "properties": {
273 "origin": {
274 "type": "string",
275 "example": "API"
276 },
277 "userAgent": {
278 "type": "string"
279 }
280 }
281 },
282 "stats": {
283 "type": "object",
284 "properties": {
285 "inputBodyLen": {
286 "type": "integer",
287 "example": 2000
288 },
289 "rebootCount": {
290 "type": "integer",
291 "example": 0
292 },
293 "restartCount": {
294 "type": "integer",
295 "example": 0
296 },
297 "resurrectCount": {
298 "type": "integer",
299 "example": 0
300 },
301 "computeUnits": {
302 "type": "integer",
303 "example": 0
304 }
305 }
306 },
307 "options": {
308 "type": "object",
309 "properties": {
310 "build": {
311 "type": "string",
312 "example": "latest"
313 },
314 "timeoutSecs": {
315 "type": "integer",
316 "example": 300
317 },
318 "memoryMbytes": {
319 "type": "integer",
320 "example": 1024
321 },
322 "diskMbytes": {
323 "type": "integer",
324 "example": 2048
325 }
326 }
327 },
328 "buildId": {
329 "type": "string"
330 },
331 "defaultKeyValueStoreId": {
332 "type": "string"
333 },
334 "defaultDatasetId": {
335 "type": "string"
336 },
337 "defaultRequestQueueId": {
338 "type": "string"
339 },
340 "buildNumber": {
341 "type": "string",
342 "example": "1.0.0"
343 },
344 "containerUrl": {
345 "type": "string"
346 },
347 "usage": {
348 "type": "object",
349 "properties": {
350 "ACTOR_COMPUTE_UNITS": {
351 "type": "integer",
352 "example": 0
353 },
354 "DATASET_READS": {
355 "type": "integer",
356 "example": 0
357 },
358 "DATASET_WRITES": {
359 "type": "integer",
360 "example": 0
361 },
362 "KEY_VALUE_STORE_READS": {
363 "type": "integer",
364 "example": 0
365 },
366 "KEY_VALUE_STORE_WRITES": {
367 "type": "integer",
368 "example": 1
369 },
370 "KEY_VALUE_STORE_LISTS": {
371 "type": "integer",
372 "example": 0
373 },
374 "REQUEST_QUEUE_READS": {
375 "type": "integer",
376 "example": 0
377 },
378 "REQUEST_QUEUE_WRITES": {
379 "type": "integer",
380 "example": 0
381 },
382 "DATA_TRANSFER_INTERNAL_GBYTES": {
383 "type": "integer",
384 "example": 0
385 },
386 "DATA_TRANSFER_EXTERNAL_GBYTES": {
387 "type": "integer",
388 "example": 0
389 },
390 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
391 "type": "integer",
392 "example": 0
393 },
394 "PROXY_SERPS": {
395 "type": "integer",
396 "example": 0
397 }
398 }
399 },
400 "usageTotalUsd": {
401 "type": "number",
402 "example": 0.00005
403 },
404 "usageUsd": {
405 "type": "object",
406 "properties": {
407 "ACTOR_COMPUTE_UNITS": {
408 "type": "integer",
409 "example": 0
410 },
411 "DATASET_READS": {
412 "type": "integer",
413 "example": 0
414 },
415 "DATASET_WRITES": {
416 "type": "integer",
417 "example": 0
418 },
419 "KEY_VALUE_STORE_READS": {
420 "type": "integer",
421 "example": 0
422 },
423 "KEY_VALUE_STORE_WRITES": {
424 "type": "number",
425 "example": 0.00005
426 },
427 "KEY_VALUE_STORE_LISTS": {
428 "type": "integer",
429 "example": 0
430 },
431 "REQUEST_QUEUE_READS": {
432 "type": "integer",
433 "example": 0
434 },
435 "REQUEST_QUEUE_WRITES": {
436 "type": "integer",
437 "example": 0
438 },
439 "DATA_TRANSFER_INTERNAL_GBYTES": {
440 "type": "integer",
441 "example": 0
442 },
443 "DATA_TRANSFER_EXTERNAL_GBYTES": {
444 "type": "integer",
445 "example": 0
446 },
447 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
448 "type": "integer",
449 "example": 0
450 },
451 "PROXY_SERPS": {
452 "type": "integer",
453 "example": 0
454 }
455 }
456 }
457 }
458 }
459 }
460 }
461 }
462 }
463}Dexscreener 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 Dexscreener 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:
