Scrapy crawl rest api. name: identifies the Spider.

Scrapy crawl rest api settings can now be modified in this method, which is handy if you want to modify them based on arguments. This class will Eventually I would like to crawl the file and return the links in the object without duplicates but right now I am even struggling to crawl the json. signals¶ Core API¶. ; If crawler_or_spidercls is a string, this function finds a spider with this name in a Scrapy project Scrapy is an application framework for writing web spiders that crawl web sites and extract data from them. py; As long as this script is executing, end user can use Search REST API to get the desired data from hosted Mongo Database. Get familiar with some Scrapy common practices. Now the code would go to the inbuilt scrapy crawl_runner function and with each yield response in Stats Collection¶. To create a Spider, you must subclass scrapy. However, I'm having trouble passing the keywords to scrapy using FastAPI, because when I run my api code, I always get a set of errors from Scrapy. Using FastAPI, MongoDB as database, Motor as async MongoDB client, Scrapy as crawler and Docker. crawl; Source code for scrapy. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook Add HTTP API for your Scrapy project in minutes. See Crawler API to know more about them Scrapy 2. To upload and run your Scrapy project in the cloud you may want to consider either Scrapy Cloud SaaS solution or Scrapydweb for self-hosted option. i made a spider that the only thing is to yield url and descriptions from search-engine site The server will need to call the spider and crawl with him when getting results- he needs to send them back to server Core API¶. Open source, flexible, and built for real-time performance, Crawl4AI empowers developers with unmatched speed middlewares (advanced): Scrapy middlewares are useful if you want to modify how Scrapy runs and makes requests to the server (e. Deploying your Scrapy spiders and run them in a remote server. For the same reason, most of the Crawler attributes aren’t initialized at this point. Crawler API¶. interfaces. 7 documentation¶. The Crawler object must be instantiated with a scrapy. All data is output in pandas DataFrames (single or multi-index) and all time-series data uses a DateTimeIndex . For an introduction on Scrapy settings see Settings. Broad Crawls Tune Scrapy for crawling a lot domains in parallel. The main entry point to Scrapy API is the Crawler object, passed to extensions through the from_crawler class method. However, the Stats Collector is always You can use the API to run Scrapy from a script, instead of the typical way of running Scrapy via scrapy crawl. For the API see Settings class. 2 Review scraping form tripadvisor. Spider class, spiders should allow an arbitrary number of keyword arguments in their __init__ method, because Scrapyd sets internally-generated spider arguments when starting crawls. This object provides access to all Scrapy core components, and it’s the only way for extensions to access Core API¶. settings¶ The settings manager of this crawler. First, let’s install those two libraries by running the following command: pipenv install the problem I am facing is: when I am trying to crawl the page my crawler fetches the details of only 1st page whereas I need to fetch the details of the rest 9 pages also; that is all 10 pages. Spiders are user-written classes used to scrape information from a domain (or group of domains). , to get around antibot solutions). Self requires Python 3. An skate API with scraped data, using Scrapy + Django - skatepedia/skatepedia-api docker-compose run service scrapy crawl crawlers¶. This will include many changes including features and things that possibly break backward compatibility, although we strive to keep these cases at a minimum. Inside the project, type scrapy genspider <spiderName> <domainName> to set up Core API¶. engine. For this reason, there is an example Scrapy project named quotesbot, that you can use to play and learn more about Scrapy. Database storing of category-labeled news articles. click on button), our website sends an HTTP request to a REST API (probably on the Scrapy Cloud?), we start the Scrapy Example Scrapy project to crawl the web using the site's REST API. First utility you can use to run your spiders is scrapy. Parameters: crawler (Crawler object) – crawler that uses this pipeline. you have a Twisted or Tornado web server) then it is possible to get the data from a crawl without storing it to disk. add-ons. 6. Release notes; Contributing to Scrapy; Versioning and API stability `components <topics-components>` that create and handle their own requests, e. Adjust crawl rate dynamically based on load. Modified 7 years ago. This class will The above command will create a database. This class will The Crawler object must be instantiated with a scrapy. - franloza/apiestas Core API¶. The Engine schedules the Requests in the Scheduler and asks for the next Requests to crawl. start_requests(): must return an iterable of Requests (you can return a list of requests or write a generator function) which the Spider will begin to crawl GraphQL APIs are very different from regular REST APIs. Spider` subclass or string:param args: arguments to initialize This attribute is set by the from_crawler() class method after initializing the class, and links to the Crawler object to which this spider instance is bound. – Today, we will be web scraping monster. They define an initial list of URLs to download, how to follow links, and how to parse the contents of those pages to extract items. pip install shub shub login Insert your Zyte Scrapy Cloud API Crawling at Scale with Python 3 Support "} {" title ": " How to Crawl the Web Politely with Scrapy "} Deploy them to Zyte Scrapy Cloud. This class will Core API¶. PyPI Automated news web crawling-scraping executed several times per day. Web scraping is a powerful technique that allows developers to extract data from websites automatically. Return a Crawler object. As an examle of Scrapy-Tornado integration check Arachnado - here is an example on how to integrate Scrapy's CrawlerProcess with Tornado's Application. # typing. Not sure what I'm doing wrong but any help would be appreciated Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook Reduce log level¶. settings import BaseSettings logger = logging. Coroutines. scrapy startproject web_scraper Inside the project folder, create a new Spider by: A new CrawlSpiderwill be generated. I thought the code above would crawl through the json object and return the links but my output file is empty. Scrapy at a glance; View page source; Scrapy at a glance¶ Scrapy (/ˈskreɪpaɪ/) is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data mining You need to be inside the project folder within the Scrapy folder. This will rarely change and will signify very large changes. g. Using Firefox for scraping Learn how to scrape with Firefox and some useful add-ons. Set of crawlers started by crawl() and managed by this class. signals¶ Scrapy 2. Fast and powerful. signals¶ Core API; All the rest. scraped_items = [] def Scrapy 2. This object provides access to all Scrapy core components, and it’s the only way for extensions to access The Crawler object must be instantiated with a scrapy. i am showing below my Spider code and items. crawler import CrawlerProcess class Crawler: def __init__(self): self. ISpiderLoader interface to guarantee an errorless execution. We would be taking the Job Title as “Product Manager” and Location as “USA”. Scrapy provides reusable item pipelines for downloading files attached to a particular item (for example, when you scrape products and also want to download their images locally). 1. The project consist of two parts : 1)A Scrapy project- which is used to crawl particular set of data from specified url list. There are 3 numbers in a Scrapy version: A. It allows you to send requests to websites and to parse the HTML code that you receive as response. Broad Crawls; Using your browser’s Developer Tools for scraping Core API; All the rest. CrawlerProcess. If you see the above crawlers¶. crawl` method, while keeping track of it so it can be stopped later. All Scrapy project components (e. It can be used for a wide range of purposes, from data mining to monitoring and Example Scrapy project to crawl the web using the site's REST API - canyousayyes/scrapy-web-crawler-by-rest-api Reduce log level¶. It provides access to all Scrapy core components, and it's used to hook extensions functionality into Scrapy. Core API¶. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook You can use the API to run Scrapy from a script, instead of the typical way of running Scrapy via scrapy crawl. a duplicates filter that persists visited requests on disk Important. parse) where the response is sent If the desired data is in embedded JavaScript code within a <script/> element, see Parsing JavaScript code. SpiderLoader API¶ class scrapy. AutoThrottle extension. As you can see, our Spider subclasses scrapy. Scraping technique with JSON API. Scrapy at a glance; View page source; Scrapy at a glance¶ Scrapy (/ˈskreɪpaɪ/) is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data mining Scrapy 2. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook Core API¶. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook Our first Spider¶. db file in the root directory and migrate a comapnies table. Using Firebug for scraping Learn how to scrape efficiently using Firebug. getLogger Versions: Python 3. In order to save CPU (and log storage requirements) you should not use DEBUG log level when preforming large broad crawls in production. ; If crawler_or_spidercls is a string, this function finds a spider with this name in a Scrapy project crawlers¶. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook Scrapy 2. It must be unique within a project, that is, you can’t set the same name for different Spiders. With Scrapyrt Scrapy Web Crawler by REST API Example Scrapy project to crawl the web using the site's REST API. through:meth:`scrapy. This class will Scrapy 2. Settings object. For simple Versioning and API stability¶ Versioning¶. The final settings and the Jobs: pausing and resuming crawls¶ Sometimes, for big sites, it’s desirable to pause crawls and be able to resume them later. The facility is called the Stats Collector, and can be accessed through the stats attribute of the Crawler API, as illustrated by the examples in the Common Stats Collector uses section below. This attribute is set by the from_crawler() class method after initializating the class, and links to the Crawler object to which this spider instance is bound. I construct a project called yuan by scrapy startproject yuan, but when I try to run the project by scrapy crawl yuan, there is an error:"unknown command crawl". c Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Visit the blog Run Scrapy from a script¶ You can use the API to run Scrapy from a script, instead of the typical way of running Scrapy via scrapy crawl. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook Returns a deferred that is fired when the crawling is finished. Scraper (scrapy. core. Type the commands below to check if they’re actually working. :param crawler_or_spidercls: already created crawler, or a spider class or spider's name inside the project to create it:type crawler_or_spidercls: :class:`~scrapy. bat or execute command scrapy crawl bbc. cfg", C:\Program Files\python2. To use REST APIs: Change to directory RestAPI and execute command python newsSearchRestAPI. B is the release number. crawler) is the main entry point to Scrapy API. As a consequence, these settings aren’t the final values as they can be modified later by e. Jobs: pausing and resuming crawls. The first step is to create a brand new Scrapy project. The original sources of said requests are: * Spider: ``start_requests`` method, requests created for URLs in the ``start_urls`` attribute, request The Crawler object must be instantiated with a scrapy. B. Modified 4 years, Though i know the API are already To execute BBC News Website Crawler, just execute the runCrawler. This class is in charge of retrieving and handling the spider classes defined across the project. Module code; scrapy. spider code:: Crawler - a scrapy script that crawls these sites with all their subpages (that's the easiest part) and transforms them into plain text NLP Processing - some basic NLP (natural language) processing (tokenizing, part of speech (POS) tagging, named entity-recognition (NER)) on the plain text Scrapy 2. We will be This attribute is set by the from_crawler() class method after initializating the class, and links to the Crawler object to which this spider instance is bound. > node -v v8. An skate API with scraped data, using Scrapy + Django - skatepedia/skatepedia-api. Using DEBUG level when developing your This attribute is set by the from_crawler() class method after initializating the class, and links to the Crawler object to which this spider instance is bound. Custom spider loaders can be employed by specifying their path in the SPIDER_LOADER_CLASS project setting. For actual link extractors implementation see scrapy The Crawler object must be instantiated with a scrapy. Debugging technique for scrapy in Adding HTTP server in front of your spiders is not that easy. Django 2. or use Scrapyd to host the spiders on your own server. This object provides access to all Scrapy core Scrapy is the best crawling framework for Python but I want to implement a dashboard for the management crawling config of a variety of websites (I configured it in JSON So, the ideal scenario is that users ask for data (e. There are couple of options. It contains two spiders for Scrapy is a BSD-licensed fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. statscollectors import StatsCollector logger = logging. crawler Wrapper around the Coinglass API to fetch data about crypto derivatives. Use the coroutine syntax. See Crawler API to know more about them All the rest. If ``crawler_or_spidercls`` isn't a :class:`~scrapy. link; Source code for scrapy. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook invoke scrapy spider with rest api. Spider subclass and a scrapy. start_requests(): must return an iterable of Requests (you can return a list of requests or write a generator function) which the Spider will begin to crawl Creating a new Scrapy project; Defining the Items you will extract; Writing a spider to crawl a site and extract Items; Writing an Item Pipeline to store the extracted Items; Scrapy is written in Python. I've shown this web scraping method before but never using Scrapy, and given that the Scrapy framework gives us some reaslly good features I thought it was a Introduction. signals¶ As you can see, our Spider subclasses scrapy. 12 documentation¶. start_requests(): must return an iterable of Requests (you can return a list of requests or write a generator function) which the Spider will begin to crawl Scrapy 1. It provides automatic control of the Twisted reactor and installs some convenient signals for shutting down the crawl. However if you need a way to launch large scraping jobs through REST API you should consider Scrapyd API server that was designed to provide a way to manage scraping jobs from outside Scrapy framework. These sites are often handled by a single Scrapy spider, although this is not necessary or required (for example, there are generic spiders Broad Crawls; Using your browser’s Developer Tools for scraping; Core API; All the rest. 9. Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. If you are really limited to Flask, if you can't use anything else, only way to integrate Scrapy with Flask is by launching external process for every spider crawl as other answer recommends (note that your subprocess needs to be spawned in proper Scrapy def crawl (self, crawler_or_spidercls, * args, ** kwargs): """ Run a crawler with the provided arguments. It's being run from the Engine, and it's used to run your spiders. If you cannot find the desired data, first make sure it’s not just Scrapy: download the webpage with an HTTP client like curl or wget and see if the information can be found in the response they get. It delivers blazing-fast, AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. Scrapy is a free and open-source web crawling framework written in Python. Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. As I want to return that saved data to the same GET request As you can see, our Spider subclasses scrapy. Debugging memory leaks Learn how to find and get rid of memory leaks in Downloading and processing files and images¶. Modified 2 years, 3 months ago. Scrapy provides a built-in mechanism for extracting data (called selectors ) but you can easily use BeautifulSoup (or lxml ) instead, if You can use the API to run Scrapy from a script, instead of the typical way of running Scrapy via scrapy crawl. Data Core API¶. Sentiment analysis of each article. See Crawler API to know more about them Core API; All the rest. ; If crawler_or_spidercls is a Spider subclass, a new Crawler is constructed for it. When doing broad crawls you are often only interested in the crawl rates you get and any errors found. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook their functionality Flask_restful is an extension for Flask that allows us to develop easily a REST API. getLogger Building a RESTful Flask API for Scrapy; If you use an event loop in your app (e. Spider and defines some attributes and methods:. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook Both Scrapy and Django Frameworks are standalone best framework of Python to build crawler and web applications with less code, Though still whenever You want to create a spider you always have to Integrating Django Rest Framework and Scrapy. Item pipeline example¶ Scrapy 1. settings. import AsyncIterable, Iterable # typing. 5 documentation¶. 36 rest; api; tripadvisor; or ask your own question. a duplicates filter that persists visited requests on disk For this I use scrapy for scraping results from a web search engine. Release notes; Contributing to Scrapy; Versioning and API stability; Scrapy. Python subprocess. Using DEBUG level when developing your Core API; All the rest. See Crawler API to know more about them Command line tool¶. If you’re new to the language you might want to start by getting an idea of what the language is like, to get the most out of Scrapy. link """ This module defines the Link object used in Link extractors. If you really want Flask-based Scrapy is a free and open-source web crawling framework written in Python. Spider and define the three main mandatory attributes:. Architecture overview; Add-ons The start_requests function will iterate through a list of keywords in the queries list and then send the request to Google Scholar using the yield scrapy. 3. They must fully implement the scrapy. . See Crawler API to know more about them class BaseScheduler (metaclass = BaseSchedulerMeta): """ The scheduler component is responsible for storing requests received from the engine, and feeding them back upon request (also to the engine). Full tutorial post can be found on my Medium blog: Even though Scrapy was originally designed for web scraping, it can also be used to extract data using APIs (such as Amazon Associates Web Services) or as a general The main entry point to Scrapy API is the ~scrapy. Scrapy 1. JS installed, let’s verify if it works. Use asyncio and As you can see, our Spider subclasses scrapy. It will be a good st The main entry point to Scrapy API is the Crawler object, passed to extensions through the from_crawler class method. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. These stats are reported by Scrapy when using the INFO log level. Ask Question Asked 7 years, 2 months ago. start_requests(): must return an iterable of Requests (you can return a list of requests or write a generator function) which the Spider will begin to crawl from. spiders. write the rules to extract the data and let Scrapy do the rest Backend, modern REST API for obtaining match and odds data crawled from multiple sites. Supports all Coinglass API endpoints. Viewed 1k times 0 . 1. Crawler` instance,:class:`~scrapy. In this exemple we'll get data in the website Rotten Tomatoes that is an aggregator of movies reviews Core API; All the rest. The first utility you can use to run your spiders is scrapy. 12 documentation . Usually we use CrawlerProcess instead of Crawler, it's a class to run a single Scrapy crawler in a process. ; If crawler_or_spidercls is a string, this function finds a spider with this name in a Scrapy project Jobs: pausing and resuming crawls¶ Sometimes, for big sites, it’s desirable to pause crawls and be able to resume them later. ; If crawler_or_spidercls is a string, this function finds a spider with this name in a Scrapy project Crawler (scrapy. from scrapy. The Overflow Blog Failing fast at scale: Rapid prototyping at Intuit “Data is the key”: Twilio’s Head of R&D on the need for good data Broad Crawls; Using your browser’s Developer Tools for scraping; Core API; All the rest. Crawler` instance, this method will try to create one using this Core API¶. need help. 11: The settings in crawler. crawler. You can use the API to run Scrapy from a script, instead of the typical way of running Scrapy via scrapy crawl. 8 documentation¶. 11 from typing_extensions import Self from scrapy import Request, Spider from scrapy. The data flow in Scrapy is controlled by the execution engine, and goes like this: The Engine gets the initial Requests to crawl from the Spider. Scrapy is an application framework for writing web spiders that crawl web sites and extract data from them. It must return a new instance of the pipeline. This class will Scrapy is an application framework for writing web spiders that crawl web sites and extract data from them. py please see my code and help me to solve it. You send a request to ScrapyRT with spider name and URL, and in response, you get items collected by a spider visiting this URL. Learn how to pause and resume crawls for large spiders. 2)A Django REST API-which is used to access the result of the scraped data,and shows it to users. Scrapy is controlled through the scrapy command-line tool, to be referred to here as the “Scrapy tool” to differentiate it from the sub-commands, which we just call “commands” or “Scrapy commands”. 2 documentation¶. This is used by extensions & middlewares to access the Scrapy settings of this crawler. Scrapy, Crawling Reviews on Tripadvisor: extract more hotel and user information. Scrapy supports this functionality out of the box by providing the following facilities: a scheduler that persists scheduled requests on disk. These pipelines share a bit of functionality and structure (we refer to them as media pipelines), but typically you’ll either use the Files Pipeline or the Example Scrapy project to crawl the web using the site's REST API - canyousayyes/scrapy-web-crawler-by-rest-api Add to my own question: CrawlerSpider doesn't use Crawler when crawling. Scrapy provides a built-in mechanism for extracting data (called selectors ) but you can easily use BeautifulSoup (or lxml ) instead, if you feel more comfortable working with them. Broad Crawls; View page source; Broad Crawls¶ Scrapy defaults are optimized for crawling specific sites. crawler import Crawler from scrapy. It has many use cases, including Get scrapy spider response back on django Rest api GET. crawlers¶. Once you have Node. crawl """ This modules implements the CrawlSpider which is the recommended spider to use for scraping typical websites that requires crawling pages. asyncio. The Scrapy tool provides several commands, for multiple purposes, and each one accepts a different set of arguments and options. Scrapy provides a convenient facility for collecting stats in the form of key/values, where values are often counters. spider. 7\scipts\yuan\scrapy crawl yuan, there is another error: Scrapy 2. Scrapy 2. 11 from typing_extensions import Self from scrapy import Spider from scrapy. 7. download`, so that downloader You can use the API to run Scrapy from a script, instead of the typical way of running Scrapy via scrapy crawl. You are currently trying to run the command from C:\Users\Pc\PycharmProjects\web skreper\venv\Scripts Flask is an API of Python that allows us to build up web-applications. ; If crawler_or_spidercls is a string, this function finds a spider with this name in a Scrapy project i used scrapy in my project and i want to call my spider with a URL from DRF (Django Rest Framework) View, what is the best way? one of the way i used is : from uuid import uuid4 from django. Next task is to run the scapy spider to collect data save into comapnies table. I wrote some code to pass the keywords to the scrapy file and display the scrapy results on a webpage. Like Scrapy’s scrapy. Crawler object provides access to all Scrapy core components like settings and signals; it is a way for pipeline to access them and hook its functionality into Scrapy. scraper) component is responsible for parsing responses and extracting information from them. Ask Question Asked 5 years, 6 months ago. Let's collect the best movies from 2019. ExecutionEngine. 1 > npm -v 5. If they get a response with the desired data, modify your Core API; All the rest. With Scrapy Overview. Scrapy, like most Python packages, is on PyPI (also known as pip). SpiderLoader [source] ¶. Scraping technique with HTML parsing method. process = CrawlerProcess() self. Release notes; Contributing to Scrapy; Versioning and API Stability; Scrapy. If crawler_or_spidercls is a Crawler, it is returned as-is. 5. spiderloader. create_crawler (crawler_or_spidercls) ¶. Check how Scrapy performs on your hardware. middleware, After you install Scrapy, scrapy startproject <projectname> creates a new project. This section documents the Scrapy core API, and it’s intended for developers of extensions and middlewares. I've created Django command in management/commands to hit the scrapy crawler and as soon the scraping is done the data being saved in particular models. Release notes; Contributing to Scrapy; Versioning and API stability and Scrapy is no exception. First goto the scrapy_stock_app directory as the scrapy command only work in the scrapy app directory and run the following command to start the vietnam spider. signals¶ Broad Crawls; Using your browser’s Developer Tools for scraping; Selecting dynamically-loaded content; Debugging memory leaks; Downloading and processing files and images; Deploying Spiders; AutoThrottle extension; Benchmarking; Jobs: pausing and resuming crawls; Coroutines; asyncio; Extending Scrapy. GraphQL APIs different from the regular RESTful APIs you're likely familiar with, which means that different methods and tooling are used to scrape them. py and settings . Core API; All the rest. Request(get_url(url), callback=self. Crawler object, passed to extensions through the from_crawler class method. name: identifies the Spider. Crawlers encapsulate a lot of components in the project for their single entry access (such as extensions, middlewares, signals managers, etc). 4 documentation¶. start_requests(): must return an iterable of Requests (you can return a list of requests or write a generator function) which the Spider will begin to crawl As you can see, our Spider subclasses scrapy. This object provides access to all Scrapy core components, and it’s the only way for extensions to access them and hook As you can see, our Spider subclasses scrapy. To see furthur Changed in version 2. C A is the major version. It will call the given Crawler's :meth:`~Crawler. The Scheduler returns the next Requests to the Engine. Ask Question Asked 2 years, 3 months ago. 9 documentation¶. com using scrapy with JSON APIs. Docs » Scrapy at a glance; Edit on GitHub; Scrapy at a glance¶ Scrapy is an application framework for crawling web sites and extracting structured data which can be used for a wide range of useful applications, like data mining, information processing Example Scrapy project to crawl the web using the site's REST API - canyousayyes/scrapy-web-crawler-by-rest-api Core API¶. This object provides access to all Scrapy core Scrapy is one of the most popular and powerful Python scraping libraries; it takes a “batteries included” approach to scraping, meaning that it handles a lot of the common functionality that all scrapers need so developers don’t have to reinvent the wheel each time. Generated by Dall-E 2. Remember that Scrapy is built on top of the Twisted asynchronous networking library, so you need to run it inside the Twisted reactor. This course will teach Web crawling technique using spider scrapy. I tried to execute it in the"yuan" project where I can see the file "scrapy. Benchmarking. edcfl dcxmlrx eyq gcfv unyhdh acive lkngb karv daine xebw