Yelp Web Crawl: Restaurant Ratings Data Collection Strategies

When Restaurateurs Meet Data Anxiety

There is a Sichuan restaurant owner Liu recently particularly depressed - obviously their own dishes improved three times, waiter training five rounds, but the Yelp score is stuck at 3.8 points can not go up. He wanted to study how his competitors achieved 4.5 points, but when he manually transcribed the ratings, the webpage would not open just after checking 20 restaurants. Does this scenario look familiar? In fact, the secret lies inData Acquisition StrategyMile.

Why does web crawling keep flopping?

Yelp such platforms have anti-crawler mechanism, with the same IP frequent visits, light flow restriction heavy seal. Last year, a friend doing market research, using their own office network to capture data, the results of the entire company IP segment was blacked out for three days, delaying the bidding program. At this time it is necessary toProxy IP Rotation Tactics, which is equivalent to giving each data request a different mask.

Choosing a proxy IP is like eating hot pot

There are as many agency service providers on the market as there are fondue ingredients, so you have to pick the right ones:
1. Fresh tripe type (Data Center IP): cheap and large but easily recognized
2. Ready-cut beef type (residential IP): high cost but good simulation
3. Customized potbelly type (dynamic mixing IP): automatic switching type is the most robust

After using seven or eight service providers, I found that theDynamic mixing IP for ipipgoEspecially suitable for catering data collection. Their IP pools are updated quickly, and the last time we did chain store competitor analysis, we collected 6,000 pieces of data for 12 hours without triggering the wind control.

A practical four-step guide to avoiding the pit

Here's a real life operational example:
1. Rhythm control: Don't refresh like a three-day hungry diner, set random intervals of 3-8 seconds
2. camouflage techniqueRemember to bring the Referer and User-Agent parameters, just as you would in a fine dining restaurant!
3. IP Rotation: It is recommended to switch IPs 50 times per collection, ipipgo's API can automatically assign new IPs
4. Exception handling: Don't be a hard-ass when it comes to CAPTCHA, record the problem URL and try again later!

Frequently Asked Questions

Q: What should I do if my IP is blocked halfway through the collection?
A: Stop the operation immediately and check if the request frequency is too high. If you use ipipgo, you can turn onIntelligent Fuse ModeThe system will automatically pause and switch zones

Q: What should I do if I need to collect data from multiple cities?
A: In the ipipgo back office selectGeo-localization features, for example, to crawl the data of San Francisco, lock the local residential IP, so as to get the ratings closer to the real users see the

Q: How do you verify the accuracy of the data capture?
A: It is recommended to check the sample data with 3 different IPs every week, and pay attention to the rating update timestamp. Once found that a competitor's rating suddenly rose in the middle of the night, and later realized that the other party was engaged in promotional activities

Don't let technology hold you back.

Doing catering is the taste and service, but now is the age of data. There is a pizza customer, through the analysis of 20,000 Yelp reviews, found that the keyword frequency of "cheese pulling" is 3 times that of competitors, and immediately adjusted the product selling points, and the rating went up by 0.7 in three months. In the data feast, eat well.

Speaking of reminding bosses:Don't Save Small Bucks on IP Issues. The last time I saw someone using a free proxy, the result was that the data collected was mixed with 15%'s false ratings, which led to an error in market judgment. Professional things to professional tools, like ipipgo this kind of provideRequest Success Rate GuaranteeThe service provider that is a solid choice.