🔥 FireScrape AI Website Content Markdown Scraper
Try for free
1 day trial then $30.00/month - No credit card required now
Go to Store
🔥 FireScrape AI Website Content Markdown Scraper
mohamedgb00714/firescraper-ai-website-content-markdown-scraper
Try for free
1 day trial then $30.00/month - No credit card required now
Advanced web scraper powered by Crawlee and Puppeteer — extracts website content, converts it to Markdown, and structures it for LLM training datasets.
Developer
mohamed el hadi msaidMaintained by Community
Actor Metrics
2 monthly users
5.0 / 5 (1)
1 bookmark
>99% runs succeeded
Created in Mar 2025
Modified 2 days ago
Categories
You can access the 🔥 FireScrape AI Website Content Markdown Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1{
2 "openapi": "3.0.1",
3 "info": {
4 "version": "1.0",
5 "x-build-id": "suE12WfYcyyehRnT6"
6 },
7 "servers": [
8 {
9 "url": "https://api.apify.com/v2"
10 }
11 ],
12 "paths": {
13 "/acts/mohamedgb00714~firescraper-ai-website-content-markdown-scraper/run-sync-get-dataset-items": {
14 "post": {
15 "operationId": "run-sync-get-dataset-items-mohamedgb00714-firescraper-ai-website-content-markdown-scraper",
16 "x-openai-isConsequential": false,
17 "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
18 "tags": [
19 "Run Actor"
20 ],
21 "requestBody": {
22 "required": true,
23 "content": {
24 "application/json": {
25 "schema": {
26 "$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/mohamedgb00714~firescraper-ai-website-content-markdown-scraper/runs": {
50 "post": {
51 "operationId": "runs-sync-mohamedgb00714-firescraper-ai-website-content-markdown-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/mohamedgb00714~firescraper-ai-website-content-markdown-scraper/run-sync": {
93 "post": {
94 "operationId": "run-sync-mohamedgb00714-firescraper-ai-website-content-markdown-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 "startUrls"
135 ],
136 "properties": {
137 "startUrls": {
138 "title": "Start URLs",
139 "type": "array",
140 "description": "List of URLs to start crawling from.",
141 "items": {
142 "type": "object",
143 "required": [
144 "url"
145 ],
146 "properties": {
147 "url": {
148 "type": "string",
149 "title": "URL of a web page",
150 "format": "uri"
151 }
152 }
153 }
154 },
155 "maxPages": {
156 "title": "Maximum Pages",
157 "minimum": 1,
158 "type": "integer",
159 "description": "The maximum number of pages to crawl.",
160 "default": 5
161 },
162 "proxyConfig": {
163 "title": "Proxy Configuration",
164 "type": "object",
165 "description": "Select proxy settings.",
166 "default": {
167 "useApifyProxy": true
168 }
169 },
170 "screenshot": {
171 "title": "Take Screenshots",
172 "type": "boolean",
173 "description": "Enable this to capture a screenshot of each page.",
174 "default": true
175 },
176 "enqueue": {
177 "title": "Enqueue Links",
178 "type": "boolean",
179 "description": "Whether to follow and enqueue new links on the page.",
180 "default": true
181 },
182 "getText": {
183 "title": "Extract Text Content",
184 "type": "boolean",
185 "description": "Extract only the visible text content from the page.",
186 "default": false
187 },
188 "getHtml": {
189 "title": "Extract HTML Content",
190 "type": "boolean",
191 "description": "Extract the full HTML content of the page.",
192 "default": false
193 }
194 }
195 },
196 "runsResponseSchema": {
197 "type": "object",
198 "properties": {
199 "data": {
200 "type": "object",
201 "properties": {
202 "id": {
203 "type": "string"
204 },
205 "actId": {
206 "type": "string"
207 },
208 "userId": {
209 "type": "string"
210 },
211 "startedAt": {
212 "type": "string",
213 "format": "date-time",
214 "example": "2025-01-08T00:00:00.000Z"
215 },
216 "finishedAt": {
217 "type": "string",
218 "format": "date-time",
219 "example": "2025-01-08T00:00:00.000Z"
220 },
221 "status": {
222 "type": "string",
223 "example": "READY"
224 },
225 "meta": {
226 "type": "object",
227 "properties": {
228 "origin": {
229 "type": "string",
230 "example": "API"
231 },
232 "userAgent": {
233 "type": "string"
234 }
235 }
236 },
237 "stats": {
238 "type": "object",
239 "properties": {
240 "inputBodyLen": {
241 "type": "integer",
242 "example": 2000
243 },
244 "rebootCount": {
245 "type": "integer",
246 "example": 0
247 },
248 "restartCount": {
249 "type": "integer",
250 "example": 0
251 },
252 "resurrectCount": {
253 "type": "integer",
254 "example": 0
255 },
256 "computeUnits": {
257 "type": "integer",
258 "example": 0
259 }
260 }
261 },
262 "options": {
263 "type": "object",
264 "properties": {
265 "build": {
266 "type": "string",
267 "example": "latest"
268 },
269 "timeoutSecs": {
270 "type": "integer",
271 "example": 300
272 },
273 "memoryMbytes": {
274 "type": "integer",
275 "example": 1024
276 },
277 "diskMbytes": {
278 "type": "integer",
279 "example": 2048
280 }
281 }
282 },
283 "buildId": {
284 "type": "string"
285 },
286 "defaultKeyValueStoreId": {
287 "type": "string"
288 },
289 "defaultDatasetId": {
290 "type": "string"
291 },
292 "defaultRequestQueueId": {
293 "type": "string"
294 },
295 "buildNumber": {
296 "type": "string",
297 "example": "1.0.0"
298 },
299 "containerUrl": {
300 "type": "string"
301 },
302 "usage": {
303 "type": "object",
304 "properties": {
305 "ACTOR_COMPUTE_UNITS": {
306 "type": "integer",
307 "example": 0
308 },
309 "DATASET_READS": {
310 "type": "integer",
311 "example": 0
312 },
313 "DATASET_WRITES": {
314 "type": "integer",
315 "example": 0
316 },
317 "KEY_VALUE_STORE_READS": {
318 "type": "integer",
319 "example": 0
320 },
321 "KEY_VALUE_STORE_WRITES": {
322 "type": "integer",
323 "example": 1
324 },
325 "KEY_VALUE_STORE_LISTS": {
326 "type": "integer",
327 "example": 0
328 },
329 "REQUEST_QUEUE_READS": {
330 "type": "integer",
331 "example": 0
332 },
333 "REQUEST_QUEUE_WRITES": {
334 "type": "integer",
335 "example": 0
336 },
337 "DATA_TRANSFER_INTERNAL_GBYTES": {
338 "type": "integer",
339 "example": 0
340 },
341 "DATA_TRANSFER_EXTERNAL_GBYTES": {
342 "type": "integer",
343 "example": 0
344 },
345 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
346 "type": "integer",
347 "example": 0
348 },
349 "PROXY_SERPS": {
350 "type": "integer",
351 "example": 0
352 }
353 }
354 },
355 "usageTotalUsd": {
356 "type": "number",
357 "example": 0.00005
358 },
359 "usageUsd": {
360 "type": "object",
361 "properties": {
362 "ACTOR_COMPUTE_UNITS": {
363 "type": "integer",
364 "example": 0
365 },
366 "DATASET_READS": {
367 "type": "integer",
368 "example": 0
369 },
370 "DATASET_WRITES": {
371 "type": "integer",
372 "example": 0
373 },
374 "KEY_VALUE_STORE_READS": {
375 "type": "integer",
376 "example": 0
377 },
378 "KEY_VALUE_STORE_WRITES": {
379 "type": "number",
380 "example": 0.00005
381 },
382 "KEY_VALUE_STORE_LISTS": {
383 "type": "integer",
384 "example": 0
385 },
386 "REQUEST_QUEUE_READS": {
387 "type": "integer",
388 "example": 0
389 },
390 "REQUEST_QUEUE_WRITES": {
391 "type": "integer",
392 "example": 0
393 },
394 "DATA_TRANSFER_INTERNAL_GBYTES": {
395 "type": "integer",
396 "example": 0
397 },
398 "DATA_TRANSFER_EXTERNAL_GBYTES": {
399 "type": "integer",
400 "example": 0
401 },
402 "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
403 "type": "integer",
404 "example": 0
405 },
406 "PROXY_SERPS": {
407 "type": "integer",
408 "example": 0
409 }
410 }
411 }
412 }
413 }
414 }
415 }
416 }
417 }
418}🔥 FireScrape AI Website Content Markdown 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 🔥 FireScrape AI Website Content Markdown 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:
